Kay Hofmann

51.8k total citations · 20 hit papers
311 papers, 40.5k citations indexed

About

Kay Hofmann is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kay Hofmann has authored 311 papers receiving a total of 40.5k indexed citations (citations by other indexed papers that have themselves been cited), including 239 papers in Molecular Biology, 78 papers in Cell Biology and 35 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kay Hofmann's work include Ubiquitin and proteasome pathways (94 papers), Endoplasmic Reticulum Stress and Disease (33 papers) and DNA Repair Mechanisms (24 papers). Kay Hofmann is often cited by papers focused on Ubiquitin and proteasome pathways (94 papers), Endoplasmic Reticulum Stress and Disease (33 papers) and DNA Repair Mechanisms (24 papers). Kay Hofmann collaborates with scholars based in Germany, United States and Switzerland. Kay Hofmann's co-authors include Jürg Tschopp, W Stoffel, Amos Bairoch, Philip Bucher, Philipp Bücher, Pascal Schneider, Kim Burns, Margot Thome, Laurent Falquet and Etienne Meylan and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Kay Hofmann

299 papers receiving 39.7k citations

Hit Papers

Inhibition of death receptor signals by cellular FLIP 1992 2026 2003 2014 1997 1993 2005 1997 1996 500 1000 1.5k 2.0k

Peers

Kay Hofmann
Comparison fields: 5 of 180
  • Molecular Biology 28.9k
  • Immunology 8.1k
  • Cell Biology 6.6k
  • Oncology 5.7k
  • Epidemiology 5.1k
Replace Aaron Ciechanover with:
Aaron Ciechanover Israel
Hediye Erdjument‐Bromage United States
Michael N. Hall Switzerland
William J. Rutter United States
Airlie J. McCoy United Kingdom
Gary L. Johnson United States
Andrej Shevchenko Germany
Paul Emsley United Kingdom
Martin Raff United Kingdom
Kevin Cowtan United Kingdom
Aaron Ciechanover Israel View profile →
Citations per field, relative to Kay Hofmann
Kay Hofmann · 1×
Citations per year, relative to Kay Hofmann
Kay Hofmann · 1×

Countries citing papers authored by Kay Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by Kay Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kay Hofmann

This figure shows the co-authorship network connecting the top 25 collaborators of Kay Hofmann. A scholar is included among the top collaborators of Kay Hofmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kay Hofmann. Kay Hofmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 2
3 4
4 43
5 21
6 208
7 170
8 87
9 40
10 183
11 142
12 26
13 105
14 297
15 124
16
Nachweis der Tierart bei Fleisch und Fleischerzeugnissen. 2. Mitteilung
1
17 39
18 90
19 5
20
Investigation of the inactivation of the mycotoxin patulin by sulphydryl groups.
14

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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