Keqin Tang

1.4k citations
23 papers · 1.2k indexed · h-index 15
Topics
Inflammatory mediators and NSAID effects (13 papers)Eicosanoids and Hypertension Pharmacology (7 papers)Cell Adhesion Molecules Research (7 papers)

In The Last Decade

Keqin Tang

22 papers receiving 1.1k citations

Peers

Keqin Tang
Comparison fields: 5 of 81
  • Pharmacology 495
  • Molecular Biology 471
  • Biochemistry 323
  • Cancer Research 288
  • Genetics 231
Replace Linda C. Hsi with:
Linda C. Hsi United States
Ovidiu C. Trifan United States
J.E. Tateson United Kingdom
Charlotte Edenius Sweden
Sandra Austin United States
Russell D. Klein United States
Xianzhong Ding United States
Shigehiko Mukai Japan
Z Duniec United States
Hsin-Hsiung Tai United States
Keqin Tang relative to Linda C. Hsi United States Linda C. Hsi's profile →
Citations per field
00.5×1.5×
Linda C. Hsi · 1×
Citations per year

Countries citing papers authored by Keqin Tang

Since Specialization
Citations

This map shows the geographic impact of Keqin 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 Keqin Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keqin Tang more than expected).

Fields of papers citing papers by Keqin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keqin 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 Keqin Tang. The network helps show where Keqin Tang may publish in the future.

Co-authorship network of co-authors of Keqin Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Keqin Tang. A scholar is included among the top collaborators of Keqin 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 Keqin Tang. Keqin 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 15
2 6
3 6
4 25
5 93
6 74
7 53
8 9
9
Overexpression of platelet-type 12-lipoxygenase promotes tumor cell survival by enhancing alpha(v)beta(3) and alpha(v)beta(5) integrin expression.
136
10 87
11 53
12 20
13 162
14 46
15 3
16 14
17 35
18
Platelet-type 12-lipoxygenase in a human prostate carcinoma stimulates angiogenesis and tumor growth.
150
19 6
20
Human prostate carcinoma cells express functional alphaIIb(beta)3 integrin.
40

About Keqin Tang

Keqin Tang is a scholar working on Immunology and Allergy, Biochemistry and Pharmacology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (13 papers), Eicosanoids and Hypertension Pharmacology (7 papers) and Cell Adhesion Molecules Research (7 papers). The work is most often cited by research in Biochemistry (323 citations), Pharmacology (495 citations) and Cancer Research (288 citations). Keqin Tang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Kenneth V. Honn, Daotai Nie, David J. Grignon, Alex Zacharek, Clement A. Diglio, Károly Szekeres, Gilda G. Hillman, Graham P. Pidgeon, Mingxin Che and Timothy J. Geddes. Their work appears in journals such as Journal of Biological Chemistry, Blood and Biochemistry.

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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