Jin Tang

4.2k total citations · 1 hit paper
87 papers, 3.1k citations indexed

About

Jin Tang is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Jin Tang has authored 87 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 18 papers in Oncology and 17 papers in Surgery. Recurrent topics in Jin Tang's work include MicroRNA in disease regulation (7 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and RNA Interference and Gene Delivery (5 papers). Jin Tang is often cited by papers focused on MicroRNA in disease regulation (7 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and RNA Interference and Gene Delivery (5 papers). Jin Tang collaborates with scholars based in China, United States and United Kingdom. Jin Tang's co-authors include W.S. Somers, Gray D. Shaw, Raymond T. Camphausen, Jasbir Seehra, Herbert M. Kagan, Philip C. Trackman, Mark Stahl, Yu Qiao, Ronald Kriz and Neil M. Wolfman and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Jin Tang

82 papers receiving 3.1k citations

Hit Papers

Insights into the Molecul... 2000 2026 2008 2017 2000 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jin Tang China 24 2.0k 657 432 387 299 87 3.1k
Masaki Murata Japan 34 1.4k 0.7× 623 0.9× 369 0.9× 532 1.4× 282 0.9× 123 3.4k
Koji Ueda Japan 37 2.7k 1.4× 898 1.4× 512 1.2× 500 1.3× 246 0.8× 129 3.9k
Takefumi Doi Japan 35 3.0k 1.5× 457 0.7× 712 1.6× 380 1.0× 291 1.0× 153 4.6k
Hauke Busch Germany 34 2.0k 1.0× 731 1.1× 501 1.2× 985 2.5× 390 1.3× 181 3.8k
Martijn F.B.G. Gebbink Netherlands 34 2.4k 1.2× 549 0.8× 770 1.8× 424 1.1× 412 1.4× 60 4.0k
Levent M. Akyürek Sweden 23 1.2k 0.6× 363 0.6× 288 0.7× 250 0.6× 422 1.4× 49 2.3k
Rodrigo Chuaqui United States 29 2.4k 1.2× 817 1.2× 265 0.6× 721 1.9× 184 0.6× 55 3.8k
Thang V. Pham Netherlands 35 2.2k 1.1× 764 1.2× 241 0.6× 599 1.5× 193 0.6× 134 3.4k
Caroline Kampf Sweden 30 2.9k 1.5× 633 1.0× 233 0.5× 429 1.1× 286 1.0× 43 3.9k
Christian Schmidt United States 22 1.3k 0.7× 663 1.0× 485 1.1× 760 2.0× 228 0.8× 60 2.4k

Countries citing papers authored by Jin Tang

Since Specialization
Citations

This map shows the geographic impact of Jin Tang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Tang more than expected).

Fields of papers citing papers by Jin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Tang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Tang. The network helps show where Jin Tang may publish in the future.

Co-authorship network of co-authors of Jin Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Tang. A scholar is included among the top collaborators of Jin Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Tang. Jin Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Jiahao, Jiahao Liu, Yongbo Peng, et al.. (2025). A novel therapeutic strategy utilizing EpCAM aptamer-conjugated gemcitabine for targeting bladder cancer and cancer stem cells. Biomaterials Science. 13(6). 1398–1413. 2 indexed citations
2.
Tang, Jin, et al.. (2024). April-GCN: Adjacency Position-velocity Relationship Interaction Learning GCN for Human motion prediction. Knowledge-Based Systems. 292. 111613–111613. 8 indexed citations
3.
Zhou, Liang, Li Cheng, Youyou Li, et al.. (2024). Endocrine cancer trends 1990–2021: global disparities and health inequalities. Endocrine Related Cancer. 31(11). 6 indexed citations
4.
Tang, Jin & Shuang Wei. (2024). Fuzz Testing Method Based on Deep Learning. 627–630. 1 indexed citations
5.
Liu, Biao, Jiahao Liu, Jiahao Liu, et al.. (2023). Recent advances in aptamer-based therapeutic strategies for targeting cancer stem cells. Materials Today Bio. 19. 100605–100605. 24 indexed citations
7.
Liu, Biao, JinRong Wang, Yongbo Peng, et al.. (2023). CD71/CD44 dual-aptamer-gemcitabine conjugate for tumor co-targeting treatment of bladder cancer. Chemical Engineering Journal. 464. 142597–142597. 5 indexed citations
8.
Hu, Xing, Hongliang Zeng, Yongbo Peng, et al.. (2023). Targeting PD‐L1 with DNA Aptamers and Conjugated with Gemcitabine as a Novel Therapeutic Strategy for Bladder Cancer Chemotherapy Combined with Immunotherapy. SHILAP Revista de lepidopterología. 3(12). 2300104–2300104. 1 indexed citations
10.
Shan, Ying, et al.. (2022). Depth‐Aware Shadow Removal. Computer Graphics Forum. 41(7). 455–464. 1 indexed citations
11.
Tang, Jin, et al.. (2016). [Value of urgent colonoscopy in diagnosis of severe acute lower gastrointestinal bleeding in patients with different bowel cleanliness].. Europe PMC (PubMed Central). 37(4). 522–527. 1 indexed citations
12.
Zhang, Jun, Yufeng Yao, Xiaoming Zha, et al.. (2016). Development and Evaluation of a Patient-Reported Outcome (PRO) Scale for Breast Cancer. Asian Pacific Journal of Cancer Prevention. 16(18). 8573–8578. 3 indexed citations
13.
Zhou, Yihong, et al.. (2015). Total nephrectomy with nephron-sparing surgery for a giant bilateral renal angiomyolipoma: A case report. Oncology Letters. 10(4). 2450–2452. 8 indexed citations
14.
Deng, Fei, Xuemei Liu, Yihong Zhou, et al.. (2015). Ureteral obstruction by prostate cancer leads to spontaneous ureteric rupture: a case report.. PubMed Central. 8(9). 16842–4. 3 indexed citations
15.
Deng, Fei, Xuemei Liu, Yihong Zhou, et al.. (2015). Penis keratoacanthoma transforming into squamous cell carcinoma: a rare case.. PubMed Central. 8(11). 21262–5. 1 indexed citations
16.
Schneider, Stephen E., Hao Chen, Jin Tang, Renee Emkey, & Paul S. Andrews. (2012). Development of a homogeneous AlphaLISA ubiquitination assay using ubiquitin binding matrices as universal components for the detection of ubiquitinated proteins. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1823(11). 2038–2045. 10 indexed citations
17.
Andrews, Paul S., Steve Schneider, Evelyn Yang, et al.. (2010). Identification of Substrates of SMURF1 Ubiquitin Ligase Activity Utilizing Protein Microarrays. Assay and Drug Development Technologies. 8(4). 471–487. 23 indexed citations
18.
Liang, Jie, Peng Chen, Zhiqing Hu, et al.. (2008). Genetic variants in fibroblast growth factor receptor 2 (FGFR2) contribute to susceptibility of breast cancer in Chinese women. Carcinogenesis. 29(12). 2341–2346. 75 indexed citations
19.
Valles, J. M., H. J. Maris, G. M. Seidel, Jin Tang, & Weijun Yao. (2004). Magnetic levitation based martian and lunar gravity simulator. 35. 4677. 1 indexed citations
20.
Somers, W.S., Jin Tang, Gray D. Shaw, & Raymond T. Camphausen. (2000). Insights into the Molecular Basis of Leukocyte Tethering and Rolling Revealed by Structures of P- and E-Selectin Bound to SLeX and PSGL-1. Cell. 103(3). 467–479. 612 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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