Michael Jiang

766 citations
13 papers · 580 · h-index 10

Impact in

Papers in

Michael Jiang

12 papers receiving 572 citations

Peers

Michael Jiang
Comparison fields: 5 of 63
  • Endocrine and Autonomic Systems 293
  • Pharmacy 61
  • Social Psychology 281
  • Behavioral Neuroscience 38
  • Nutrition and Dietetics 88
Replace Yasuhito Motojima with:
Yasuhito Motojima Japan
Justin A. Smith United States
Young‐Beom Kim South Korea
Amanda P. Borrow United States
Michel Goumaz Switzerland
Reiko Saito Japan
Ernst Tatzer Austria
Maria Hamze Sinno France
Alan P. Jones United States
Susann Scherag Germany
Michael Jiang relative to Yasuhito Motojima Japan Yasuhito Motojima's profile →
Citations per field
00.5×2.8×
Yasuhito Motojima · 1×
Citations per year

Countries citing papers authored by Michael Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Michael Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2003174
2 2003170
3 200653
4 200348
5 201142
6 201622
7 202222
8 200417
9 202015
10 202213
11 20233
12 20241
13 20240

About Michael Jiang

Michael Jiang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Social Psychology, Endocrine and Autonomic Systems and Reproductive Medicine, having authored 13 papers that have together received 580 indexed citations. Recurring topics across this work include Coronary Artery Anomalies (4 papers), Hypothalamic control of reproductive hormones (3 papers), Neuroendocrine regulation and behavior (3 papers), Regulation of Appetite and Obesity (3 papers), Trypanosoma species research and implications (1 paper), Coenzyme Q10 studies and effects (1 paper), Alzheimer's disease research and treatments (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (293 citations), Pharmacy (61 citations), Social Psychology (281 citations), Behavioral Neuroscience (38 citations) and Nutrition and Dietetics (88 citations). Michael Jiang has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Céline Caquineau, Alison J. Douglas, Gareth Leng, Lex Van der Ploeg, Philip M. Bull, Nancy Sabatier, Govindan Dayanithi, Xiao Ming Guan, Xiao-Ming Guan and Jonathan T. Butcher. Their work appears in journals such as Journal of Neuroendocrinology, Neurobiology of Aging, Brain Research, Developmental Dynamics 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.

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