Eik Hoffmann
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Phagocytosis and Immune Regulation
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
Papers in ⓘ
- Immunology 15
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 7
- T-cell and B-cell Immunology 4
- Immune Response and Inflammation 4
- Co-authors
- Rudi Beyaert (4 shared papers)Elke Dopp (4 shared papers)Yvan Saeys (2 shared papers)Liesbet Martens (2 shared papers)Bart N. Lambrecht (2 shared papers)Sebastián Amigorena (5 shared papers)Fiorella Kotsias (5 shared papers)Matthias Trost (2 shared papers)
In The Last Decade
Eik Hoffmann
33 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Immunology 898
- Cell Biology 270
- Physiology 74
- Neurology 105
- Endocrinology 56
Countries citing papers authored by Eik Hoffmann
This map shows the geographic impact of Eik Hoffmann'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 Eik Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eik Hoffmann more than expected).
Fields of papers citing papers by Eik Hoffmann
This network shows the impact of papers produced by Eik Hoffmann. 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 Eik Hoffmann. The network helps show where Eik Hoffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Eik Hoffmann, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Yolk Sac Macrophages, Fetal Liver, and Adult Monocytes Can Colonize an Empty Niche and Develop into Functional Tissue-Resident Macrophages Hit paper breakdown → | 2016 | 441 |
| 2 | 2009 | 277 | |
| 3 | 2017 | 194 | |
| 4 | 2014 | 181 | |
| 5 | 2015 | 148 | |
| 6 | 2012 | 109 | |
| 7 | 2012 | 69 | |
| 8 | 2007 | 60 | |
| 9 | 2011 | 58 | |
| 10 | 2004 | 58 | |
| 11 | 2012 | 47 | |
| 12 | 2004 | 37 | |
| 13 | 2011 | 37 | |
| 14 | 2017 | 30 | |
| 15 | 2009 | 29 | |
| 16 | 2019 | 22 | |
| 17 | 2010 | 21 | |
| 18 | 2018 | 20 | |
| 19 | 2005 | 20 | |
| 20 | 2021 | 19 |
About Eik Hoffmann
Eik Hoffmann is a scholar working on Endocrinology, Immunology, Infectious Diseases, Microbiology and Complementary and Manual Therapy, having authored 34 papers that have together received 2.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (4 papers), Immune Response and Inflammation (4 papers), Mycobacterium research and diagnosis (4 papers), Cellular transport and secretion (4 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Immunology (898 citations), Cell Biology (270 citations), Physiology (74 citations), Neurology (105 citations) and Endocrinology (56 citations). Eik Hoffmann has collaborated with scholars based in France, Germany and Belgium. Frequent co-authors include Rudi Beyaert, Elke Dopp, Yvan Saeys, Liesbet Martens, Bart N. Lambrecht, Sebastián Amigorena, Fiorella Kotsias, Matthias Trost, Kunal Bhattacharya and Roel P. F. Schins. Their work appears in journals such as Traffic, Immunity, Frontiers in Immunology, EMBO Reports and PLoS Pathogens.
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.