Peter Michaely

2.9k citations
29 papers · 2.3k · h-index 21

Impact in

    • Cellular transport and secretion
    • Caveolin-1 and cellular processes
  • Physiology top 5%
    • Erythrocyte Function and Pathophysiology

Papers in

Peter Michaely

29 papers receiving 2.2k citations

Peers

Peter Michaely
Comparison fields: 5 of 105
  • Cell Biology 707
  • Physiology 495
  • Molecular Biology 1.3k
  • Structural Biology 26
  • Immunology and Allergy 106
Replace Emily R. Eden with:
Emily R. Eden United Kingdom
Jeeyun Chung United States
José S. Ramalho Portugal
Richard F. Collins Canada
Wonhwa Cho United States
Fabien Alpy France
Carles Rentero Spain
Patrick Lajoie Canada
Giuseppe Di Tullio Italy
Susan J. Nixon Australia
Peter Michaely relative to Emily R. Eden United Kingdom Emily R. Eden's profile →
Citations per field
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Emily R. Eden · 1×
Citations per year

Countries citing papers authored by Peter Michaely

Since Specialization
Citations

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

Fields of papers citing papers by Peter Michaely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006294
2 2019241
3 1992196
4 2002183
5 2005168
6 2002166
7 1999142
8 199593
9 199390
10 199580
11 200475
12 200569
13 200453
14 200851
15 201351
16 199947
17 200746
18 200040
19 200927
20 200825

About Peter Michaely

Peter Michaely is a scholar working on Cell Biology, Molecular Biology, Surgery, Physiology and Immunology and Allergy, having authored 29 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cellular transport and secretion (12 papers), Erythrocyte Function and Pathophysiology (8 papers), Caveolin-1 and cellular processes (5 papers), Cell Adhesion Molecules Research (4 papers), Cholesterol and Lipid Metabolism (4 papers), Pancreatic function and diabetes (3 papers), Receptor Mechanisms and Signaling (3 papers) and Protease and Inhibitor Mechanisms (3 papers). The work is most often cited by research in Cell Biology (707 citations), Physiology (495 citations), Molecular Biology (1.3k citations), Structural Biology (26 citations) and Immunology and Allergy (106 citations). Peter Michaely has collaborated with scholars based in United States and South Korea. Frequent co-authors include Vann Bennett, Richard G.W. Anderson, Helen H. Hobbs, Jonathan C. Cohen, Khadar Abdi, Chieko Mineo, Piotr E. Marszałek, Gwangrog Lee, Yong Jiang and Zhenze Zhao. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, The EMBO Journal, Nature and The Journal of Cell 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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