Martin Rechsteiner

17.1k citations
148 papers · 14.5k indexed · 3 hit papers · h-index 62
  • Cell Biology top 0.1%
    • Endoplasmic Reticulum Stress and Disease 25
    • Ubiquitin and proteasome pathways 78
    • Glycosylation and Glycoproteins Research 30
    • Biochemical and Molecular Research 14
    • RNA modifications and cancer 14
  • Oncology top 0.5%
    • Peptidase Inhibition and Analysis 32
  • Aging top 1%
  • Immunology top 1%
    • Genetics and Neurodevelopmental Disorders 12
    • Enzyme Structure and Function 11

Martin Rechsteiner

148 papers receiving 14.1k citations

Hit Papers

PEST sequences and regulation by proteolysis1.4k198620261999201250010001.5k2.0k

Peers

Martin Rechsteiner
Comparison fields: 5 of 131
  • Cell Biology 3.9k
  • Molecular Biology 12.3k
  • Oncology 3.0k
  • Aging 187
  • Immunology 1.7k
Replace George Demartino with:
George Demartino United States
Daniel Finley United States
Jonathan Backer United States
Raymond L. Erikson United States
Stefan Jentsch Germany
Allan M. Weissman United States
Keith D. Wilkinson United States
Mark Hochstrasser United States
Avram Hershko Israel
Brian Raught Canada
Martin Rechsteiner relative to George Demartino United States George Demartino's profile →
Citations per field
00.5×1.5×
George Demartino · 1×
Citations per year

Countries citing papers authored by Martin Rechsteiner

Since Specialization
Citations

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

Fields of papers citing papers by Martin Rechsteiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
The ubiquitin-proteasome system and disease
20081
2 200835
3 200629
4 20067
5
Ubiquitin and the chemistry of life
20056
6 20049
7 200483
8 2002118
9 200190
10 200050
11 200022
12 19999
13 1997142
14 199765
15 199626
16 19966
17 199436
18 19918
19 19906
20 1988121

About Martin Rechsteiner

Martin Rechsteiner is a scholar working on Cell Biology, Molecular Biology and Oncology, having authored 148 papers that have together received 14.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (78 papers), Peptidase Inhibition and Analysis (32 papers), Glycosylation and Glycoproteins Research (30 papers), Endoplasmic Reticulum Stress and Disease (25 papers), Biochemical and Molecular Research (14 papers), RNA modifications and cancer (14 papers), Genetics and Neurodevelopmental Disorders (12 papers) and Enzyme Structure and Function (11 papers). The work is most often cited by research in Cell Biology (3.9k citations), Molecular Biology (12.3k citations) and Oncology (3.0k citations). Martin Rechsteiner has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Scott W. Rogers, G Pratt, Wolfgang Dubiel, R Hough, Quinn L. Deveraux, Vicença Ustrell, Laura Hoffman, Claudio Realini, Cecile M. Pickart and Katherine Ferrell. Their work appears in journals such as Nature, Science and Cell.

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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