Michael Reed

316 papers receiving 13.8k citations

Michael Reed's Hit Papers

A new rat model of type 2 diabetes: The fat-fed, streptozotocin-treated rat 2000 · 720 citations
7200+11+22Years since publication200400600

Peers

Michael Reed
Comparison fields: 5 of 191
  • Reproductive Medicine 2.0k
  • Genetics 5.9k
  • Toxicology 628
  • Endocrinology, Diabetes and Metabolism 2.6k
  • Oncology 2.5k
Replace Donald P. McDonnell with:
Donald P. McDonnell United States
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V. Craig Jordan United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Reed

Since Specialization
Citations

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

Fields of papers citing papers by Michael Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 331 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Improvement in endocrine and ovarian function during dietary treatment of obese women with polycystic ovary syndrome
Hit paper breakdown →
1992730
2
A new rat model of type 2 diabetes: The fat-fed, streptozotocin-treated rat
Hit paper breakdown →
2000720
3 2005442
4 1990311
5 2002214
6 1993212
7 2006211
8 1994207
9 1987199
10 2009175
11 1983175
12 1995175
13 1995169
14 1989161
15 1995161
16 1989148
17 2000141
18 1990139
19 1990133
20 1994124

About Michael Reed

Michael Reed is a scholar working on Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology and Reproductive Medicine, having authored 331 papers that have together received 14.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (172 papers), Hormonal and reproductive studies (31 papers), Steroid Chemistry and Biochemistry (31 papers), Hormonal Regulation and Hypertension (28 papers), Enzyme function and inhibition (20 papers), Bioactive Compounds and Antitumor Agents (19 papers), Ovarian function and disorders (18 papers) and Effects and risks of endocrine disrupting chemicals (16 papers). The work is most often cited by research in Reproductive Medicine (2.0k citations), Genetics (5.9k citations), Toxicology (628 citations), Endocrinology, Diabetes and Metabolism (2.6k citations) and Oncology (2.5k citations). Michael Reed has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Atul Purohit, A. Purohit, Barry V. L. Potter, V.H.T. James, L. W. Lawrence Woo, B. V. L. POTTER, M.W. Ghilchik, Stephen Franks, D. Kiddy and Mathew P. Leese. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Journal of Medicinal Chemistry, International Journal of Cancer, Molecular and Cellular Endocrinology and British Journal of Cancer.

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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