Michael Phelps

1.3k citations
21 papers · 759 · h-index 12

Impact in

Papers in

    • CRISPR and Genetic Engineering 6
    • Muscle Physiology and Disorders 5
    • Protein Degradation and Inhibitors 2
    • Animal Genetics and Reproduction 5
    • Virus-based gene therapy research 4
    • Genetic Syndromes and Imprinting 3

Michael Phelps

20 papers receiving 745 citations

Peers

Michael Phelps
Comparison fields: 5 of 87
  • Aging 35
  • Business and International Management 31
  • Genetics 256
  • Molecular Biology 584
  • Nephrology 40
Replace Hyung Joo Lee with:
Hyung Joo Lee United States
Casimiro Castillejo-López Sweden
Matthew F. Pech United States
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Daiji Okamura Japan
Sally A. Eaton Australia
Jay L. Vivian United States
Daniel P. S. Osborn United Kingdom
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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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017310
2 200974
3 201358
4 201647
5 201943
6 201540
7 201940
8 201538
9 201829
10 201620
11 201319
12 201613
13 20238
14 20155
15 20245
16 20243
17 20243
18 20212
19 20241
20 20171

About Michael Phelps

Michael Phelps is a scholar working on Molecular Biology, Genetics, Ecology, Nephrology and Oncology, having authored 21 papers that have together received 759 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), Genetic Syndromes and Imprinting (3 papers), Environmental DNA in Biodiversity Studies (3 papers), Parathyroid Disorders and Treatments (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Aging (35 citations), Business and International Management (31 citations), Genetics (256 citations), Molecular Biology (584 citations) and Nephrology (40 citations). Michael Phelps has collaborated with scholars based in United States, Portugal and Brazil. Frequent co-authors include Joel R. Chamberlain, John K. Hall, R. David Hawkins, Jeffrey S. Chamberlain, Stephen D. Hauschka, Niclas E. Bengtsson, Guy L. Odom, Colin Andrus, Eleanor Y. Chen and Zipora Yablonka‐Reuveni. Their work appears in journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Marine Biotechnology, Journal of Experimental Biology, Nature Communications and PLoS ONE.

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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