Michael Phelps

1.3k citations
22 papers · 860 · h-index 13

Impact in

Papers in

    • Animal Genetics and Reproduction 5
    • Virus-based gene therapy research 4
    • Genetic Syndromes and Imprinting 3
    • CRISPR and Genetic Engineering 6
    • Muscle Physiology and Disorders 5
    • Identification and Quantification in Food 3

Michael Phelps

22 papers receiving 812 citations

Peers

Michael Phelps
Comparison fields: 5 of 91
  • Aging 37
  • Business and International Management 36
  • Genetics 299
  • Molecular Biology 644
  • Nephrology 42
Replace Chunwei Cao with:
Chunwei Cao China
Daiji Okamura Japan
Matthew F. Pech United States
Sally A. Eaton Australia
Ben D. Cox United States
Jay L. Vivian United States
Christelle Etard Germany
Kensuke Kataoka Japan
Dylan Sweetman United Kingdom
Hyung Joo Lee United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Phelps

Since Specialization
Citations

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

Fields of papers citing papers by Michael Phelps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017325
2 200979
3 201961
4 201360
5 201653
6 201542
7 201942
8 201539
9 201831
10 201930
11 201623
12 201320
13 201615
14 20259
15 20238
16 20245
17 20245
18 20155
19 20243
20 20212

About Michael Phelps

Michael Phelps is a scholar working on Genetics, Molecular Biology, Nephrology, Ecology and Physiology, having authored 22 papers that have together received 860 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Animal Genetics and Reproduction (5 papers), Muscle Physiology and Disorders (5 papers), Virus-based gene therapy research (4 papers), Environmental DNA in Biodiversity Studies (4 papers), Identification and Quantification in Food (3 papers), Genetic Syndromes and Imprinting (3 papers) and Parathyroid Disorders and Treatments (2 papers). The work is most often cited by research in Aging (37 citations), Business and International Management (36 citations), Genetics (299 citations), Molecular Biology (644 citations) and Nephrology (42 citations). Michael Phelps has collaborated with scholars based in United States and Portugal. Frequent co-authors include Colin R. Andrus, Joel R. Chamberlain, Jeffrey S. Chamberlain, John K. Hall, Niclas E. Bengtsson, Guy L. Odom, Stephen D. Hauschka, R. David Hawkins, Eleanor Y. Chen and Zipora Yablonka‐Reuveni. Their work appears in journals such as Ecology and Evolution, Journal of Neuromuscular Diseases, Molecular Therapy — Oncolytics, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Molecular Ecology Resources.

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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