Michael C. Chiang

11 papers receiving 967 citations

Michael C. Chiang's Hit Papers

Sexually Dimorphic Neurons in the Ventromedial Hypothalamus Govern Mating in Both Sexes and Aggression in Males 2013 · 510 citations
5100+4+8Years since publication100200300400500

Peers

Michael C. Chiang
Comparison fields: 5 of 78
  • Endocrine and Autonomic Systems 240
  • Behavioral Neuroscience 91
  • Cellular and Molecular Neuroscience 375
  • Sensory Systems 67
  • Social Psychology 267
Replace Elizabeth K. Unger with:
Elizabeth K. Unger United States
Russell Ray United States
Ju-en Zhang China
Ryoichi Teruyama United States
Varoth Lilascharoen United States
J. N. Crawley United States
José R. Eguibar Mexico
Manuel Salas Mexico
Jorge Manzo Mexico
Zhen Fang Huang Cao United States
Michael C. Chiang relative to Elizabeth K. Unger United States Elizabeth K. Unger's profile →
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Countries citing papers authored by Michael C. Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Chiang. 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 Michael C. Chiang. The network helps show where Michael C. Chiang may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Sexually Dimorphic Neurons in the Ventromedial Hypothalamus Govern Mating in Both Sexes and Aggression in Males
Hit paper breakdown →
2013510
2 2019178
3 2020160
4 201738
5 201833
6 201827
7 201512
8 20215
9 20234
10 20243
11 20242
12 20240
13 20250

About Michael C. Chiang

Michael C. Chiang is a scholar working on Physiology, Cellular and Molecular Neuroscience, Surgery, Endocrine and Autonomic Systems and Rheumatology, having authored 13 papers that have together received 972 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (5 papers), Knee injuries and reconstruction techniques (2 papers), Regulation of Appetite and Obesity (2 papers), Total Knee Arthroplasty Outcomes (2 papers), Hypothalamic control of reproductive hormones (1 paper), Alzheimer's disease research and treatments (1 paper), Musculoskeletal synovial abnormalities and treatments (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (240 citations), Behavioral Neuroscience (91 citations), Cellular and Molecular Neuroscience (375 citations), Sensory Systems (67 citations) and Social Psychology (267 citations). Michael C. Chiang has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Cindy F. Yang, James A. Wells, Nirao M. Shah, Daniel C. Gray, Scott A. Juntti, Elizabeth K. Unger, Sarah E. Ross, Lindsey A. Schier, Domenico Tupone and Anna J. Bowen. Their work appears in journals such as Pain, Neuron, Journal of Neurosurgery Pediatrics, Journal of Neuroscience and Cell.

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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