Impact Factor
3.71
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
3.34
1,465 total citations
h5-index
36
h5 depth signal
Cited share
78.0%
355 of 455
Total citations
1,465
Citation footprint
Metric signal
3.59
External metric anchor
Self-citation
1.1%
16 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
China
1,461
United States
252
Italy
60
Japan
52
South Korea
43
Citing Fields of Research
Oncology
575
Noncoding RNA
335
Prostate Cancer
332
Lung Cancer
287
Cancer & Development
283
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
3,185
Articles tracked across the journal lifetime
Indexed publication set
455
355 cited publications
Last 12 months
175
21.9 publications/month
Open access share
100.0%
175 OA publications in the last year
Leading citing country
China
1,461 citing publications
Leading citing field
Oncology
575 citing publications
Latest tracked publication
28 August 2026
10 recent records available
Coverage & Indexing History
v1n1, Feb. 2002-
v1n1, Feb. 2002-
Active Coverage
Active Coverage
Research Focus & Classification
Indexed Subjects
Oncology
Prostate Cancer
Breast Cancer
Lung Cancer
Immunology
Broad Categories
Neoplasms
Therapeutics
Prostate Cancer
Noncoding RNA
Lung Cancer
Liver & Colon Cancer
Breast Cancer
Cancer, Autophagy & Apoptosis
MeSH Descriptors
Biomedical Technology
Neoplasms
Research
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1177/15330338261481298
Open DOI
METTL3-Mediated m6A Modification of COL5A2 Inhibits Ferroptosis Through an IGF2BP3-dependent Mechanism in Gastric Cancer
Introduction: METTL3, the core enzyme of m6A methylation, influences gastric cancer (GC) progression, but its role in ferroptosis remains unclear. This study investigated the regulatory role of METTL3 in GC ferroptosis and its underlying...
02
DOI 10.1177/15330338261483507
Open DOI
The Role of Using Machine Learning Algorithms in Non-contrast CT Based Images in Determining Pathological Subtypes of Lung Cancer
Introduction: Lung cancer is a common cancer with a high mortality rate worldwide. Significant differences in treatment, prognosis, and recurrence rates exist depending on lung cancer subtype. The goal of our study is to use machine lear...
03
DOI 10.1177/15330338261481909
Open DOI
Metabolically Active but Dysfunctional: The Impact of Senescent Cells and SASP
The accumulation of senescent cells in metabolic tissues, including adipose tissue, liver, pancreas, and skeletal muscle – along with the senescence-associated secretory phenotype (SASP) has emerged as a significant factor in developing ...
04
DOI 10.1177/15330338261478186
Open DOI
Development and Preliminary Dosimetric Evaluation of a 3D-Printed Custom Tissue Compensator for Head and Neck Cancer Radiotherapy: A Proof-of-Concept Case Series
Introduction: Achieving an optimal therapeutic ratio in head and neck cancer (HNC) radiotherapy requires balancing dose conformity with organ-at-risk (OAR) sparing. Traditional auxiliary devices often lack the customized geometry needed ...
05
DOI 10.1177/15330338261473054
Open DOI
Isolation of Novel Fully Human Single-Domain Antibodies Targeting GUCY2C from a Heavy-Chain-Only Transgenic Mouse Platform
Introduction: Traditional natural single-domain antibodies(sdAbs) are primarily derived from camelids and sharks. However, the large size and slow reproduction of these species limit their widespread application in antibody development. ...
06
DOI 10.1177/15330338261464295
Open DOI
Evaluation of Stimulated Raman Histology as a Novel Method for Pathologic Examination of Urothelial Carcinoma With Unprocessed, Fresh Bladder Cancer Tissue
Introduction: Stimulated Raman histology (SRH) is a recent microscopic technique allowing real‐time, label free, high‐resolution microscopic images of unprocessed, unsectioned tissue. Tissue samples are imaged in the operating room using...
07
DOI 10.1177/15330338261476208
Open DOI
The Rise of Generalist Foundation Models and Quantum Computing in Oncology
In the field of oncology, Artificial intelligence (AI) and deep learning (DL) are an essential component of decision-support. However, traditional narrow-AI models have significant limitations in clinics with respect to narrow, task-spec...
08
DOI 10.1177/15330338261499846
Open DOI
CAR-T Cell Therapy in Solid Tumors: Implications of Satri-cel for Gastric and Gastrointestinal Cancers
09
DOI 10.1177/15330338261500841
Open DOI
Artificial Intelligence-Enabled Continuous HER2 Assessment: A Patient Selection Framework for the Antibody–Drug Conjugate Era
Introduction: Antibody-drug conjugates have expanded HER2-targeted therapy to HER2-low breast cancer, yet categorical immunohistochemistry scoring inadequately supports patient selection at expression boundaries where interobserver agree...
10
DOI 10.1177/15330338261495691
Open DOI
Proteomic Profiling of Endometriosis and Ovarian Endometrioid Carcinoma: A Preliminary Exploratory Study
Introduction: Endometriosis (EMs) is considered the precursor lesions of ovarian endometrioid carcinoma (OEC). This study aimed to identify differentially expressed proteins between OEC and EMs, and to explore the associated biological f...
Bibliographical & Catalog Notes
Title on HTML title tag: TCRT online.
Title from cover.
Also issued online.
v. 1, no. 1 (JAN 1993)20030401 Notice not published Printed on acid-free paper