Marc A. Seelen
- Immunology top 1%
- Nephrology top 0.5%
- Rheumatology top 1%
- Surgery top 5%
- Molecular Biology
- Co-authors
- Mohamed R. DahaLeendert A. TrouwJeffrey DammanFelix PoppelaarsCees van KootenHenri G. D. LeuveninkHarry van GoorRutger J. Ploeg
- Topics
- Complement system in diseases (51 papers)Renal Transplantation Outcomes and Treatments (28 papers)Renal Diseases and Glomerulopathies (26 papers)
- Cited by
- TransplantationNephrologyImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- NetherlandsItalyGermany
In The Last Decade
Marc A. Seelen
106 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 131
- Immunology 1.9k
- Nephrology 996
- Rheumatology 599
- Surgery 583
- Molecular Biology 554
Countries citing papers authored by Marc A. Seelen
This map shows the geographic impact of Marc A. Seelen'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 Marc A. Seelen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc A. Seelen more than expected).
Fields of papers citing papers by Marc A. Seelen
This network shows the impact of papers produced by Marc A. Seelen. 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 Marc A. Seelen. The network helps show where Marc A. Seelen may publish in the future.
Co-authorship network of co-authors of Marc A. Seelen
This figure shows the co-authorship network connecting the top 25 collaborators of Marc A. Seelen. A scholar is included among the top collaborators of Marc A. Seelen 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 Marc A. Seelen. Marc A. Seelen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 11 | |
| 3 | 7 | |
| 4 | 114 | |
| 5 | 86 | |
| 6 | 8 | |
| 7 | 92 | |
| 8 | 23 | |
| 9 | 36 | |
| 10 | 15 | |
| 11 | 73 | |
| 12 | 18 | |
| 13 | 10 | |
| 14 | 30 | |
| 15 | 58 | |
| 16 | Systemic Complement Activation in Deceased Donors Is Associated with Acute Allograft Rejection after Renal Transplantation. | 3 |
| 17 | 48 | |
| 18 | 25 | |
| 19 | 228 | |
| 20 | 79 |
About Marc A. Seelen
Marc A. Seelen is a scholar working on Transplantation, Nephrology and Immunology, having authored 107 papers that have together received 3.8k indexed citations. Recurring topics across this work include Complement system in diseases (51 papers), Renal Transplantation Outcomes and Treatments (28 papers) and Renal Diseases and Glomerulopathies (26 papers). The work is most often cited by research in Transplantation (520 citations), Nephrology (996 citations) and Immunology (1.9k citations). Marc A. Seelen has collaborated with scholars based in Netherlands, Italy and Germany. Frequent co-authors include Mohamed R. Daha, Leendert A. Trouw, Jeffrey Damman, Felix Poppelaars, Cees van Kooten, Henri G. D. Leuvenink, Harry van Goor, Rutger J. Ploeg, Mariana Gaya da Costa and Stefan P. Berger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.