Michael D. Chu

526 citations
13 papers · 410 · h-index 9

Impact in

Papers in

Michael D. Chu

13 papers receiving 389 citations

Peers

Michael D. Chu
Comparison fields: 5 of 47
  • Endocrinology, Diabetes and Metabolism 312
  • Behavioral Neuroscience 29
  • Health, Toxicology and Mutagenesis 50
  • Pharmacology 25
  • Surgery 124
Replace Mitsunobu Okuyama with:
Mitsunobu Okuyama Japan
Steven Tam United States
C H Shackleton United States
Nichole R. Vansell United States
Jan Stępniak Poland
Tamara Gojković Serbia
Peter Arnold Switzerland
R.F. Lutmer United States
Tsukasa Kodaira Japan
John C. Downing United States
Michael D. Chu relative to Mitsunobu Okuyama Japan Mitsunobu Okuyama's profile →
Citations per field
00.5×1.5×
Mitsunobu Okuyama · 1×
Citations per year

Countries citing papers authored by Michael D. Chu

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Michael D. Chu, 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 D. Chu Line = papers co-authored together Michael D. Chu links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1982104
2 198286
3 198383
4 200137
5 198333
6 199415
7 200713
8 199611
9 198710
10 19826
11
Detection of Estrogen Receptor Endocrine Disruptor Potency of Commonly Used Organochlorine Pesticides Using The LUMI-CELL ER Bioassay
20046
12 19805
13 20251

About Michael D. Chu

Michael D. Chu is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Health, Toxicology and Mutagenesis, Surgery and Cancer Research, having authored 13 papers that have together received 410 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (7 papers), Adrenal Hormones and Disorders (6 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Toxic Organic Pollutants Impact (3 papers), Hormonal and reproductive studies (2 papers), Adrenal and Paraganglionic Tumors (2 papers), Steroid Chemistry and Biochemistry (1 paper) and Emergency and Acute Care Studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (312 citations), Behavioral Neuroscience (29 citations), Health, Toxicology and Mutagenesis (50 citations), Pharmacology (25 citations) and Surgery (124 citations). Michael D. Chu has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include Stanley Ulick, Marianne Land, Phillip I. Bird, Michael S. Denison, George C. Clark, D. J. A. Brown, Willy Baeyens, Léo Goeyens, Ilse Van Overmeire and John Gordon. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism, Gene, Endocrinology and Environmental Science & Technology.

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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