Michael S. Phillips

640 citations
6 papers · 482 · h-index 5

Impact in

Papers in

    • Gene expression and cancer classification 1
    • Ion channel regulation and function 1
    • Fungal and yeast genetics research 1

Michael S. Phillips

6 papers receiving 466 citations

Peers

Michael S. Phillips
Comparison fields: 5 of 63
  • Endocrine and Autonomic Systems 268
  • Nutrition and Dietetics 159
  • Endocrinology, Diabetes and Metabolism 83
  • Physiology 123
  • Reproductive Medicine 35
Replace Sayaka Aizawa with:
Sayaka Aizawa Japan
Difu Guan United States
Jana Maixnerová Czechia
Su-Ellen Brown United States
M. Schimiczek Germany
Sarah Forbes United Kingdom
Leslie Glass United Kingdom
Takahiro Hayashida Japan
Mariko Sugiyama Japan
Mona El Gammal Egypt
Michael S. Phillips relative to Sayaka Aizawa Japan Sayaka Aizawa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael S. Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 1997289
2 2000154
3 202321
4 20069
5 19937
6 20232

About Michael S. Phillips

Michael S. Phillips is a scholar working on Molecular Biology, Surgery, Endocrine and Autonomic Systems, Clinical Biochemistry and Pharmacology, having authored 6 papers that have together received 482 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Forensic and Genetic Research (1 paper), Gene expression and cancer classification (1 paper), Ion channel regulation and function (1 paper), Metabolism and Genetic Disorders (1 paper), Fungal and yeast genetics research (1 paper) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (268 citations), Nutrition and Dietetics (159 citations), Endocrinology, Diabetes and Metabolism (83 citations), Physiology (123 citations) and Reproductive Medicine (35 citations). Michael S. Phillips has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Donna L. Hreniuk, Oksana Palyha, Karen K. McKee, Lex H.T. Van der Ploeg, Andrew D. Howard, Scott D. Feighner, Carina P. Tan, Roy G. Smith, Laura Esposito and Monika de Arruda. Their work appears in journals such as Molecular Endocrinology, Clinical Pharmacology & Therapeutics, Genomics, International Journal of Food Engineering and Communications Biology.

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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