Eva H.C. Tang

3.1k citations
19 papers · 2.4k indexed · 2 hit papers · h-index 18

Eva H.C. Tang

19 papers receiving 2.4k citations

Hit Papers

Endothelial dysfunction and vascular disease - a 30th an...6672009202620142020200400600

Peers

Eva H.C. Tang
Comparison fields: 5 of 110
  • Biochemistry 524
  • Physiology 1.0k
  • Cardiology and Cardiovascular Medicine 752
  • Biochemistry 128
  • Endocrinology, Diabetes and Metabolism 343
Replace Sean P. Didion with:
Sean P. Didion United States
Yoshihiro Taniyama Japan
Ahmed A. Elmarakby United States
Dierk Endemann Germany
David X. Zhang United States
Robert M. Weisbrod United States
Cristina M. Sena Portugal
Ulrich Hink Germany
Sungwoo Ryoo South Korea
Jeremy D. Ollerenshaw United States
Eva H.C. Tang relative to Sean P. Didion United States Sean P. Didion's profile →
Citations per field
00.5×1.5×
Sean P. Didion · 1×
Citations per year

Countries citing papers authored by Eva H.C. Tang

Since Specialization
Citations

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

Fields of papers citing papers by Eva H.C. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Eva H.C. Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva H.C. Tang Line = papers co-authored together Eva H.C. Tang links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201711
2
Endothelial dysfunction and vascular disease - a 30th anniversary updatebreakdown →
2015667
3 201520
4 201425
5 201433
6 201427
7 201169
8 201056
9 201040
10 2010142
11 200990
12
Endothelial dysfunction and vascular diseasebreakdown →
2009637
13 2008134
14 200832
15 2007110
16 200758
17 2007138
18 200588
19 200559

About Eva H.C. Tang

Eva H.C. Tang is a scholar working on Biochemistry, Physiology and Pharmacology, having authored 19 papers that have together received 2.4k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (12 papers), Eicosanoids and Hypertension Pharmacology (9 papers), Inflammatory mediators and NSAID effects (7 papers), Chemokine receptors and signaling (3 papers), Hormonal Regulation and Hypertension (3 papers), Receptor Mechanisms and Signaling (2 papers), Redox biology and oxidative stress (2 papers) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Biochemistry (524 citations), Physiology (1.0k citations) and Cardiology and Cardiovascular Medicine (752 citations). Eva H.C. Tang has collaborated with scholars based in Hong Kong, United States and France. Frequent co-authors include Paul M. Vanhoutte, Michel Félétou, Hiroaki Shimokawa, Ricky Y.K. Man, Paul M. Vanhoutte, Yü Huang, Aimin Xu, Peter Libby, F Leung and Kwok‐Fai So. Their work appears in journals such as The Journal of Physiology, The FASEB Journal and Arteriosclerosis Thrombosis and Vascular Biology.

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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