Vera M. Kamp
Impact in
- Immunology top 5%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune cells in cancer
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Immunology and Allergy top 10%
Papers in
-
- Immune Response and Inflammation 7
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 5
- Immune cells in cancer 3
- Mast cells and histamine 1
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- Data Management and Algorithms 5
- Co-authors
- Leo Koenderman (11 shared papers)Janesh Pillay (7 shared papers)Tamar Tak (2 shared papers)Peter Pickkers (4 shared papers)Luke P. H. Leenen (4 shared papers)Laurien H. Ulfman (6 shared papers)Jan‐Willem J. Lammers (3 shared papers)Tjaakje Visser (1 shared paper)
- Journals
- Journal of Leukocyte Biology (3 papers)Respiratory Research (2 papers)PLoS ONE (1 paper)Biochimica et Biophysica Acta (BBA) - General Subjects (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Vera M. Kamp
20 papers receiving 1.6k citations
Vera M. Kamp's Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 949
- Immunology and Allergy 63
- Epidemiology 293
- Oncology 183
- Neurology 56
Countries citing papers authored by Vera M. Kamp
This map shows the geographic impact of Vera M. Kamp'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 Vera M. Kamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vera M. Kamp more than expected).
Fields of papers citing papers by Vera M. Kamp
This network shows the impact of papers produced by Vera M. Kamp. 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 Vera M. Kamp. The network helps show where Vera M. Kamp may publish in the future.
Co-authors
The 25 scholars most cited alongside Vera M. Kamp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A subset of neutrophils in human systemic inflammation inhibits T cell responses through Mac-1 Hit paper breakdown → | 2011 | 692 |
| 2 | 2013 | 322 | |
| 3 | 2010 | 205 | |
| 4 | 2009 | 110 | |
| 5 | 2012 | 61 | |
| 6 | 2013 | 57 | |
| 7 | 2013 | 22 | |
| 8 | 2017 | 20 | |
| 9 | 2013 | 19 | |
| 10 | 2011 | 17 | |
| 11 | 2013 | 16 | |
| 12 | 2012 | 10 | |
| 13 | 2008 | 9 | |
| 14 | 1994 | 5 | |
| 15 | 1997 | 3 | |
| 16 | 2002 | 3 | |
| 17 | 2002 | 3 | |
| 18 | 2003 | 3 | |
| 19 | 2002 | 1 | |
| 20 | 2019 | 1 |
About Vera M. Kamp
Vera M. Kamp is a scholar working on Immunology, Signal Processing, Immunology and Allergy, Computer Networks and Communications and Epidemiology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Response and Inflammation (7 papers), Data Management and Algorithms (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Advanced Database Systems and Queries (5 papers), Cell Adhesion Molecules Research (3 papers), Immune cells in cancer (3 papers), Data Mining Algorithms and Applications (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Immunology (949 citations), Immunology and Allergy (63 citations), Epidemiology (293 citations), Oncology (183 citations) and Neurology (56 citations). Vera M. Kamp has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Leo Koenderman, Janesh Pillay, Tamar Tak, Peter Pickkers, Luke P. H. Leenen, Laurien H. Ulfman, Jan‐Willem J. Lammers, Tjaakje Visser, Els van Hoffen and Falco Hietbrink. Their work appears in journals such as Journal of Leukocyte Biology, Respiratory Research, PLoS ONE, Biochimica et Biophysica Acta (BBA) - General Subjects and Journal of Clinical Investigation.
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.