Eva H.C. Tang

3.1k citations
19 papers · 2.4k indexed · 2 hit papers · h-index 18
Topics
Nitric Oxide and Endothelin Effects (12 papers)Eicosanoids and Hypertension Pharmacology (9 papers)Inflammatory mediators and NSAID effects (7 papers)

In The Last Decade

Eva H.C. Tang

19 papers receiving 2.4k citations

Hit Papers

Endothelial dysfunction and vascular disease - a 30th an...200920262014202020152009200400600

Peers

Eva H.C. Tang
Comparison fields: 5 of 110
  • Physiology 1.0k
  • Cardiology and Cardiovascular Medicine 752
  • Molecular Biology 572
  • Biochemistry 524
  • 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 of co-authors of Eva H.C. Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Eva H.C. Tang. A scholar is included among the top collaborators of Eva H.C. 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 Eva H.C. Tang. Eva H.C. Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 11
2
Endothelial dysfunction and vascular disease - a 30th anniversary updatebreakdown →
667
3 20
4 25
5 33
6 27
7 69
8 56
9 40
10 142
11 90
12
Endothelial dysfunction and vascular diseasebreakdown →
637
13 134
14 32
15 110
16 58
17 138
18 88
19 59

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) and Inflammatory mediators and NSAID effects (7 papers). 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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