Ming‐Dao Chen

41 papers receiving 1.6k citations

Peers

Ming‐Dao Chen
Comparison fields: 5 of 112
  • Pharmacology 350
  • Pharmacology 161
  • Endocrinology, Diabetes and Metabolism 287
  • Endocrine and Autonomic Systems 93
  • Reproductive Medicine 98
Replace Da Sol Kim with:
Da Sol Kim South Korea
Maria Pacilio Italy
Marie‐Louise Ricketts United States
Seong Kyu Park South Korea
Anna Iacono Italy
Yılmaz Çiğremiş Türkiye
Ping Bo China
Nao Inoue Japan
Man Lung Fung Hong Kong
Peter Y. Wielinga Netherlands
Ming‐Dao Chen relative to Da Sol Kim South Korea Da Sol Kim's profile →
Citations per field
00.5×3.8×
Da Sol Kim · 1×
Citations per year

Countries citing papers authored by Ming‐Dao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Dao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002224
2 2007166
3 2006121
4 200898
5 200872
6 201871
7 200867
8 200667
9 200865
10 200563
11 200760
12 200649
13 200646
14 201045
15 200745
16 200840
17 200935
18 200933
19 201429
20 200928

About Ming‐Dao Chen

Ming‐Dao Chen is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Epidemiology and Physiology, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (10 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Sexual Differentiation and Disorders (7 papers), Adipose Tissue and Metabolism (7 papers), Hypothalamic control of reproductive hormones (5 papers), Berberine and alkaloids research (5 papers), Diet, Metabolism, and Disease (4 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Pharmacology (350 citations), Pharmacology (161 citations), Endocrinology, Diabetes and Metabolism (287 citations), Endocrine and Autonomic Systems (93 citations) and Reproductive Medicine (98 citations). Ming‐Dao Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Libin Zhou, Wenbin Shang, Fengying Li, Boren Jiang, Ying Yang, Jinfeng Tang, Jialun Chen, Hua Jin, Guoyue Yuan and Jun Yin. Their work appears in journals such as Biochemical and Biophysical Research Communications, Neuroendocrinology, Clinical Endocrinology, Metabolism and Diabetes Research and Clinical Practice.

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.

Explore authors with similar magnitude of impact