Jan Eickhoff
Impact in
- Immunology top 5%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Virology top 5%
Papers in
-
- Ubiquitin and proteasome pathways 5
- 14-3-3 protein interactions 4
- Epigenetics and DNA Methylation 3
- Epidemiology 13
- Cytomegalovirus and herpesvirus research 12
- Herpesvirus Infections and Treatments 6
- Co-authors
- Bert Klebl (22 shared papers)Peter Habenberger (7 shared papers)Sascha Menninger (3 shared papers)Axel Choidas (6 shared papers)Renate Krüger (1 shared paper)Arturo Zychlinsky (1 shared paper)Garth L. Burn (1 shared paper)Raffaella Di Lucrezia (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Journal of Medicinal Chemistry (3 papers)Cancer Research (3 papers)Oncotarget (2 papers)Pharmaceutics (2 papers)
- Partner nations
- GermanyNorwayUnited States
In The Last Decade
Jan Eickhoff
38 papers receiving 1.8k citations
Jan Eickhoff's Hit Papers
Peers
Comparison fields: 5 of 91
- Immunology 539
- Virology 91
- Molecular Biology 1.1k
- Oncology 258
- Parasitology 64
Countries citing papers authored by Jan Eickhoff
This map shows the geographic impact of Jan Eickhoff'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 Jan Eickhoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Eickhoff more than expected).
Fields of papers citing papers by Jan Eickhoff
This network shows the impact of papers produced by Jan Eickhoff. 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 Jan Eickhoff. The network helps show where Jan Eickhoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Eickhoff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gasdermin D plays a vital role in the generation of neutrophil extracellular traps Hit paper breakdown → | 2018 | 600 |
| 2 | 2017 | 218 | |
| 3 | 2017 | 133 | |
| 4 | 2013 | 96 | |
| 5 | 2015 | 93 | |
| 6 | 2005 | 87 | |
| 7 | 2008 | 74 | |
| 8 | 2014 | 64 | |
| 9 | 2009 | 49 | |
| 10 | 2002 | 42 | |
| 11 | 2008 | 33 | |
| 12 | 2011 | 32 | |
| 13 | 2004 | 32 | |
| 14 | 2021 | 28 | |
| 15 | 2019 | 27 | |
| 16 | 2018 | 27 | |
| 17 | 2005 | 27 | |
| 18 | 1999 | 26 | |
| 19 | 2016 | 24 | |
| 20 | 2007 | 22 |
About Jan Eickhoff
Jan Eickhoff is a scholar working on Molecular Biology, Epidemiology, Oncology, Immunology and Virology, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (12 papers), Herpesvirus Infections and Treatments (6 papers), Cancer-related Molecular Pathways (6 papers), Ubiquitin and proteasome pathways (5 papers), Immune cells in cancer (5 papers), HIV Research and Treatment (5 papers), 14-3-3 protein interactions (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Immunology (539 citations), Virology (91 citations), Molecular Biology (1.1k citations), Oncology (258 citations) and Parasitology (64 citations). Jan Eickhoff has collaborated with scholars based in Germany, Norway and United States. Frequent co-authors include Bert Klebl, Peter Habenberger, Sascha Menninger, Axel Choidas, Renate Krüger, Arturo Zychlinsky, Garth L. Burn, Raffaella Di Lucrezia, Alf Herzig and Gabriel Sollberger. Their work appears in journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry, Cancer Research, Oncotarget and Pharmaceutics.
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.