Ming Yan

1.3k citations
34 papers · 397 · h-index 14

Impact in

Papers in

    • Receptor Mechanisms and Signaling 3
    • Nitric Oxide and Endothelin Effects 3
    • Biochemical effects in animals 3

Ming Yan

33 papers receiving 391 citations

Peers

Ming Yan
Comparison fields: 5 of 84
  • Endocrine and Autonomic Systems 56
  • Hepatology 43
  • Endocrinology, Diabetes and Metabolism 72
  • Sensory Systems 16
  • Immunology and Allergy 17
Replace M. Großmann with:
M. Großmann Germany
Bin-Xian Zhang United States
Ajin Lim South Korea
S. Vallgren Sweden
Luca Meoli Germany
Margittá Albinus Germany
Renyang Tong China
Haruyo Hickey Australia
Rumiana S. Chuknyiska United States
Thomas Cadoudal France
Ming Yan relative to M. Großmann Germany M. Großmann's profile →
Citations per field
00.5×5.1×
M. Großmann · 1×
Citations per year

Countries citing papers authored by Ming Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Yan. 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 Ming Yan. The network helps show where Ming Yan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200346
2 200240
3 201328
4 201627
5 202123
6 201323
7 201120
8 201018
9 200417
10 201917
11 201315
12 201514
13 201514
14 200113
15 200510
16 201710
17 20198
18 19987
19
Inhibitory effects of dimethyl α-ketoglutarate in hepatic stellate cell activation.
20157
20 19986

About Ming Yan

Ming Yan is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Epidemiology and Sensory Systems, having authored 34 papers that have together received 397 indexed citations. Recurring topics across this work include Liver physiology and pathology (4 papers), Ion Channels and Receptors (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Receptor Mechanisms and Signaling (3 papers), Biochemical effects in animals (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Regulation of Appetite and Obesity (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (56 citations), Hepatology (43 citations), Endocrinology, Diabetes and Metabolism (72 citations), Sensory Systems (16 citations) and Immunology and Allergy (17 citations). Ming Yan has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Chen Chen, Lei Peng, Zheng Luo, Margaret E. E. Jones, María Isabel Hernández, Xiaolan Guo, Dongling Liu, Evan R. Simpson, Jianjian Zhao and Yan Yang. Their work appears in journals such as PLoS ONE, Biological Trace Element Research, Endocrinology, Clinical and Experimental Pharmacology and Physiology and Biochemical and Biophysical Research Communications.

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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