Michael C. Chiang
- Cellular and Molecular Neuroscience top 5%
- Social Psychology top 5%
- Physiology top 10%
- Cognitive Neuroscience top 10%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Elizabeth K. UngerCindy F. YangScott A. JunttiNirao M. ShahDaniel C. GrayJames A. WellsSarah E. RossMary M. Heinricher
- Topics
- Pain Mechanisms and Treatments (5 papers)Regulation of Appetite and Obesity (2 papers)Sleep and Wakefulness Research (2 papers)
- Journals
- CellNeuronJournal of Neuroscience
- Partner nations
- United StatesUnited KingdomBulgaria
In The Last Decade
Michael C. Chiang
11 papers receiving 941 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 387
- Social Psychology 278
- Physiology 264
- Cognitive Neuroscience 252
- Endocrine and Autonomic Systems 247
Countries citing papers authored by Michael C. Chiang
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
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-authorship network of co-authors of Michael C. Chiang
This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Chiang. A scholar is included among the top collaborators of Michael C. Chiang 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 Michael C. Chiang. Michael C. Chiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 154 | |
| 7 | 172 | |
| 8 | 33 | |
| 9 | 27 | |
| 10 | 38 | |
| 11 | 12 | |
| 12 | Sexually Dimorphic Neurons in the Ventromedial Hypothalamus Govern Mating in Both Sexes and Aggression in Malesbreakdown → | 500 |
About Michael C. Chiang
Michael C. Chiang is a scholar working on Equine, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 947 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (5 papers), Regulation of Appetite and Obesity (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (247 citations), Behavioral Neuroscience (103 citations) and Cellular and Molecular Neuroscience (387 citations). Michael C. Chiang has collaborated with scholars based in United States, United Kingdom and Bulgaria. Frequent co-authors include Elizabeth K. Unger, Cindy F. Yang, Scott A. Juntti, Nirao M. Shah, Daniel C. Gray, James A. Wells, Sarah E. Ross, Mary M. Heinricher, Domenico Tupone and Olivia Uddin. Their work appears in journals such as Cell, Neuron and Journal of Neuroscience.
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.