Mingde Wang

41 papers receiving 1.5k citations

Peers

Mingde Wang
Comparison fields: 5 of 134
  • Behavioral Neuroscience 398
  • Biological Psychiatry 74
  • Cellular and Molecular Neuroscience 505
  • Developmental Neuroscience 70
  • Endocrinology, Diabetes and Metabolism 235
Replace Ronald S. Markowitz with:
Ronald S. Markowitz United States
Limei Zhang Mexico
Joel R. Martin United States
Paul Burghardt United States
Adam Taylor United Kingdom
Joseph V. Martin United States
J. Aldenhoff Germany
William A. Hewlett United States
Biao Chen China
Ramamoorthy Rajkumar Singapore
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Citations per field
00.5×4.3×
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Citations per year

Countries citing papers authored by Mingde Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingde Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011152
2 2002150
3 2003144
4 2005121
5 1997113
6 199599
7 200391
8 200479
9 200557
10 201954
11 200148
12 200140
13 201534
14 200233
15 199633
16 200628
17 201428
18 201927
19 201226
20 201322

About Mingde Wang

Mingde Wang is a scholar working on Cellular and Molecular Neuroscience, Social Psychology, Behavioral Neuroscience, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Neuroendocrine regulation and behavior (8 papers), Stress Responses and Cortisol (8 papers), Menopause: Health Impacts and Treatments (6 papers), Estrogen and related hormone effects (5 papers), Anomaly Detection Techniques and Applications (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Behavioral Neuroscience (398 citations), Biological Psychiatry (74 citations), Cellular and Molecular Neuroscience (505 citations), Developmental Neuroscience (70 citations) and Endocrinology, Diabetes and Metabolism (235 citations). Mingde Wang has collaborated with scholars based in Sweden, China and United States. Frequent co-authors include Torbjörn Bäckström, Göran Wahlström, Inga‐Maj Johansson, Di Zhu, Vita Birzniece, Per Lundgren, Tommy Olsson, C. Laird, Jessica Strömberg and Stefan Hammarbäck. Their work appears in journals such as European Journal of Pharmacology, Clinical and Experimental Pharmacology and Physiology, Current Alzheimer Research, Applied Sciences and Clinical Endocrinology.

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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