Wei-Hong Yang

846 citations
30 papers · 671 indexed · h-index 13
Topics
Drug Transport and Resistance Mechanisms (4 papers)Birth, Development, and Health (4 papers)Pharmacogenetics and Drug Metabolism (4 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Wei-Hong Yang

29 papers receiving 666 citations

Peers

Wei-Hong Yang
Comparison fields: 5 of 77
  • Molecular Biology 425
  • Epidemiology 99
  • Immunology 74
  • Oncology 73
  • Cancer Research 64
Replace Taunia D. Lee with:
Taunia D. Lee United States
Joo-Yeon Yoo United States
Annegret Nath Germany
Shuangsuo Dang China
Byung-Il Yoon South Korea
Daniel A. Giles United States
Hongdi Ma China
Bangjie Chen China
Ali Amouri Tunisia
Saiful A. Mir United States
Wei-Hong Yang relative to Taunia D. Lee United States Taunia D. Lee's profile →
Citations per field
00.5×3.6×
Taunia D. Lee · 1×
Citations per year

Countries citing papers authored by Wei-Hong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Hong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Hong 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 Wei-Hong Yang. The network helps show where Wei-Hong Yang may publish in the future.

Co-authorship network of co-authors of Wei-Hong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Hong Yang. A scholar is included among the top collaborators of Wei-Hong Yang 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 Wei-Hong Yang. Wei-Hong Yang 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
[Mammalian DMRTs: Structure, function and relationship with cancer].
1
2 4
3 9
4 28
5 17
6 15
7 13
8 0
9 10
10 6
11 7
12 17
13 16
14 63
15
[The effect of high-fat diet and catch-up growth on gastric emptying and plasma glucagon-like peptide-1 concentration in rats].
2
16 10
17 143
18 74
19
The cytoplasmic dot staining pattern is detected in a subgroup of patients with primary biliary cirrhosis.
17
20 156

About Wei-Hong Yang

Wei-Hong Yang is a scholar working on Pharmacology, Transplantation and Complementary and alternative medicine, having authored 30 papers that have together received 671 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Birth, Development, and Health (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Hepatology (62 citations), Molecular Biology (425 citations) and Cancer Research (64 citations). Wei-Hong Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Donald B. Bloch, Kenneth D. Bloch, Yu Jiang, Tod Gulick, Ayako Nakajima, Elliott Kieff, Jie Tan, Paul D. Ling, Bo Zhao and Rong Peng. Their work appears in journals such as The EMBO Journal, PLoS ONE and Journal of Pharmacology and Experimental Therapeutics.

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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