Michael Rapé

17.0k citations
81 papers · 12.9k indexed · 7 hit papers · h-index 48
  • Cell Biology top 0.1%
    • Microtubule and mitosis dynamics 24
    • Endoplasmic Reticulum Stress and Disease 8
    • Ubiquitin and proteasome pathways 66
    • Protein Degradation and Inhibitors 18
    • Glycosylation and Glycoproteins Research 9
    • Histone Deacetylase Inhibitors Research 6
  • Oncology top 0.5%
    • Cancer-related Molecular Pathways 12
  • Aging top 2%
    • Autophagy in Disease and Therapy 14

Michael Rapé

79 papers receiving 12.8k citations

Hit Papers

Stress r...46200920262014202050010001.5k2.0k2.5k

Peers

Michael Rapé
Comparison fields: 5 of 127
  • Cell Biology 3.6k
  • Molecular Biology 11.4k
  • Oncology 3.3k
  • Aging 119
  • Epidemiology 2.2k
Replace Daniel Finley with:
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Michael J. Clague United Kingdom
Mathew E. Sowa United States
Daniel Finley United States
Allan M. Weissman United States
Stefan Jentsch Germany
Mark Hochstrasser United States
Martin Rechsteiner United States
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Michael Rapé relative to Daniel Finley United States Daniel Finley's profile →
Citations per field
00.5×7.5×
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Citations per year

Countries citing papers authored by Michael Rapé

Since Specialization
Citations

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

Fields of papers citing papers by Michael Rapé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 202122
4 202038
5 2019113
6 201736
7 201698
8 201463
9 2014373
10
Ubiquitin-dependent regulation of COPII coat size and functionbreakdown →
2012257
11 201175
12 2011231
13 201014
14 2009244
15 200915
16 2006234
17 200449
18 200292
19 2001130
20 199836

About Michael Rapé

Michael Rapé is a scholar working on Cell Biology, Molecular Biology and Oncology, having authored 81 papers that have together received 12.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (66 papers), Microtubule and mitosis dynamics (24 papers), Protein Degradation and Inhibitors (18 papers), Autophagy in Disease and Therapy (14 papers), Cancer-related Molecular Pathways (12 papers), Glycosylation and Glycoproteins Research (9 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Histone Deacetylase Inhibitors Research (6 papers). The work is most often cited by research in Cell Biology (3.6k citations), Molecular Biology (11.4k citations) and Oncology (3.3k citations). Michael Rapé has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include David Komander, Richard G. Yau, Yihong Ye, Stefan Jentsch, Marc W. Kirschner, Katherine E. Wickliffe, Adam J. Williamson, Thorsten Hoppe, Ling Song and Sashank Reddy. Their work appears in journals such as Cell, Nature, Molecular Cell, Trends in Cell Biology and Current Opinion in 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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