Keqin Tang
- Biochemistry top 1%
- Eicosanoids and Hypertension Pharmacology 7
- Pharmacology top 2%
- Inflammatory mediators and NSAID effects 13
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism 4
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 7
- Toxicology top 10%
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- Angiogenesis and VEGF in Cancer 4
- Ubiquitin and proteasome pathways 2
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- Estrogen and related hormone effects 3
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- Inflammatory Biomarkers in Disease Prognosis 2
- Co-authors
- Kenneth V. HonnDaotai NieDavid J. GrignonAlex ZacharekClement A. DiglioKároly SzekeresGilda G. HillmanGraham P. Pidgeon
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Keqin Tang
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Biochemistry 323
- Pharmacology 495
- Cancer Research 288
- Immunology and Allergy 91
- Toxicology 32
Countries citing papers authored by Keqin Tang
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
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
The 25 scholars most cited alongside Keqin Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 15 | |
| 2 | 2021 | 6 | |
| 3 | 2016 | 6 | |
| 4 | 2015 | 25 | |
| 5 | 2006 | 93 | |
| 6 | 2004 | 74 | |
| 7 | 2003 | 53 | |
| 8 | 2003 | 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. | 2003 | 136 |
| 10 | 2001 | 87 | |
| 11 | 2000 | 53 | |
| 12 | 2000 | 20 | |
| 13 | 2000 | 162 | |
| 14 | 2000 | 46 | |
| 15 | 1999 | 3 | |
| 16 | 1999 | 14 | |
| 17 | 1999 | 35 | |
| 18 | Platelet-type 12-lipoxygenase in a human prostate carcinoma stimulates angiogenesis and tumor growth. | 1998 | 150 |
| 19 | 1997 | 6 | |
| 20 | Human prostate carcinoma cells express functional alphaIIb(beta)3 integrin. | 1996 | 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), Cell Adhesion Molecules Research (7 papers), Cancer, Lipids, and Metabolism (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Estrogen and related hormone effects (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and Ubiquitin and proteasome pathways (2 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.