Jin Tang

4.2k citations
87 papers · 3.1k indexed · 1 hit paper · h-index 24
Topics
MicroRNA in disease regulation (7 papers)Prostate Cancer Diagnosis and Treatment (6 papers)RNA Interference and Gene Delivery (5 papers)

In The Last Decade

Jin Tang

82 papers receiving 3.1k citations

Hit Papers

Insights into the Molecular Basis of Leukocyte Tethering ...20002026200820172000200400600

Peers

Jin Tang
Comparison fields: 5 of 136
  • Molecular Biology 2.0k
  • Cancer Research 657
  • Immunology 432
  • Oncology 387
  • Cell Biology 299
Replace John F. Timms with:
John F. Timms United Kingdom
Thomas Grewal Australia
Carles Rentero Spain
Takefumi Doi Japan
Li V. Yang United States
Kathleen Kelly United States
Antonino Passaniti United States
Michel Record France
Kenneth Wester Sweden
Sandrine Silvente‐Poirot France
Jin Tang relative to John F. Timms United Kingdom John F. Timms's profile →
Citations per field
00.5×1.5×
John F. Timms · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 8
3 6
4 1
5 0
6 5
7 1
8 4
9 1
10 1
11 3
12 69
13
Ureteral obstruction by prostate cancer leads to spontaneous ureteric rupture: a case report.
3
14 8
15 83
16 10
17 23
18 75
19
Magnetic levitation based martian and lunar gravity simulator
1
20
Insights into the Molecular Basis of Leukocyte Tethering and Rolling Revealed by Structures of P- and E-Selectin Bound to SLeX and PSGL-1breakdown →
612

About Jin Tang

Jin Tang is a scholar working on Physiology, Urology and Cancer Research, having authored 87 papers that have together received 3.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Immunology and Allergy (297 citations), Cancer Research (657 citations) and Physiology (152 citations). Jin Tang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include W.S. Somers, Raymond T. Camphausen, Gray D. Shaw, Jasbir Seehra, Philip C. Trackman, Herbert M. Kagan, Mark Stahl, Yu Qiao, Neil M. Wolfman and Simon S. Jones. Their work appears in journals such as Science, Cell and Journal of Biological Chemistry.

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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