May C.M. Yang

32 papers receiving 555 citations

Peers

May C.M. Yang
Comparison fields: 5 of 71
  • Hepatology 165
  • Nephrology 80
  • Physiology 153
  • Biochemistry 40
  • Endocrinology, Diabetes and Metabolism 75
Replace Sura Wanessa Santos Rocha with:
Sura Wanessa Santos Rocha Brazil
Emi Sasaki Japan
Masayasu Inoue Japan
L Mikulíková Czechia
C Hallbrucker Germany
J. W. Strandhoy United States
Lawrence Yoon United States
Helena Corominola Spain
G Rudolph Germany
Johan H. Strømme Norway
May C.M. Yang relative to Sura Wanessa Santos Rocha Brazil Sura Wanessa Santos Rocha's profile →
Citations per field
00.5×3.9×
Sura Wanessa Santos Rocha · 1×
Citations per year

Countries citing papers authored by May C.M. Yang

Since Specialization
Citations

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

Fields of papers citing papers by May C.M. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by May C.M. Yang. 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 May C.M. Yang. The network helps show where May C.M. Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside May C.M. Yang, 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 May C.M. Yang Line = papers co-authored together May C.M. Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198354
2 199549
3 199548
4 198537
5 198036
6 199032
7 198829
8 198628
9 199223
10 198321
11 199517
12 199017
13 198715
14 199614
15 199614
16 198314
17 199513
18 199612
19 199411
20 198111

About May C.M. Yang

May C.M. Yang is a scholar working on Hepatology, Epidemiology, Physiology, Nephrology and Molecular Biology, having authored 32 papers that have together received 573 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (15 papers), Liver Disease Diagnosis and Treatment (10 papers), Renal function and acid-base balance (6 papers), Nitric Oxide and Endothelin Effects (6 papers), Biochemical effects in animals (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers) and Bone health and treatments (3 papers). The work is most often cited by research in Hepatology (165 citations), Nephrology (80 citations), Physiology (153 citations), Biochemistry (40 citations) and Endocrinology, Diabetes and Metabolism (75 citations). May C.M. Yang has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Peter K.T. Pang, Thomas E. Tenner, Han‐Chieh Lin, Alexander D. Kenny, Jon‐Son Kuo, Chieh-Fu Chen, Henry T. Keutmann, Chuang‐Ye Hong, Yang‐Te Tsai and James S.K. Sham. Their work appears in journals such as Journal of Hepatology, Pharmacology, Canadian Journal of Physiology and Pharmacology, Clinical Science and Journal of Gastroenterology and Hepatology.

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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