Mark J. Kwakkenbos
- Molecular Biology
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Epidemiology
- Co-authors
- Jörg HamannSiamon GordonMartin StaceyHsi‐Hsien LinHergen SpitsTim BeaumontEtsuko YasudaGin-Wen Chang
- Topics
- T-cell and B-cell Immunology (8 papers)Immune Cell Function and Interaction (7 papers)Glycosylation and Glycoproteins Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNature MedicineThe Journal of Experimental Medicine
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Mark J. Kwakkenbos
22 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 661
- Immunology 568
- Radiology, Nuclear Medicine and Imaging 259
- Oncology 234
- Epidemiology 225
Countries citing papers authored by Mark J. Kwakkenbos
This map shows the geographic impact of Mark J. Kwakkenbos'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 Mark J. Kwakkenbos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Kwakkenbos more than expected).
Fields of papers citing papers by Mark J. Kwakkenbos
This network shows the impact of papers produced by Mark J. Kwakkenbos. 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 Mark J. Kwakkenbos. The network helps show where Mark J. Kwakkenbos may publish in the future.
Co-authorship network of co-authors of Mark J. Kwakkenbos
This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Kwakkenbos. A scholar is included among the top collaborators of Mark J. Kwakkenbos 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 Mark J. Kwakkenbos. Mark J. Kwakkenbos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 21 | |
| 4 | 33 | |
| 5 | 73 | |
| 6 | 33 | |
| 7 | 67 | |
| 8 | 17 | |
| 9 | 220 | |
| 10 | 21 | |
| 11 | 178 | |
| 12 | 108 | |
| 13 | 40 | |
| 14 | 39 | |
| 15 | 45 | |
| 16 | 105 | |
| 17 | 72 | |
| 18 | 56 | |
| 19 | 36 | |
| 20 | 177 |
About Mark J. Kwakkenbos
Mark J. Kwakkenbos is a scholar working on Immunology and Allergy, Immunology and Oncology, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Immunology and Allergy (183 citations), Immunology (568 citations) and Radiology, Nuclear Medicine and Imaging (259 citations). Mark J. Kwakkenbos has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Jörg Hamann, Siamon Gordon, Martin Stacey, Hsi‐Hsien Lin, Hergen Spits, Tim Beaumont, Etsuko Yasuda, Gin-Wen Chang, Ferenc A. Scheeren and Sean A. Diehl. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Experimental Medicine.
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.