Frans H.J. Claas
- Immunology top 0.1%
- Transplantation top 0.01%
- Surgery top 0.2%
- Public Health, Environmental and Occupational Health top 0.2%
- Epidemiology top 0.5%
- Co-authors
- Dave L. RoelenSicco A. ScherjonIlias I.N. DoxiadisArend MulderJon J. van RoodHumphrey H.H. KanhaiSebastiaan HeidtWillem E. Fibbe
- Topics
- Renal Transplantation Outcomes and Treatments (227 papers)T-cell and B-cell Immunology (174 papers)Immune Cell Function and Interaction (121 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Frans H.J. Claas
581 papers receiving 18.8k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Immunology 8.8k
- Transplantation 5.2k
- Surgery 4.9k
- Public Health, Environmental and Occupational Health 3.2k
- Epidemiology 2.6k
Countries citing papers authored by Frans H.J. Claas
This map shows the geographic impact of Frans H.J. Claas'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 Frans H.J. Claas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frans H.J. Claas more than expected).
Fields of papers citing papers by Frans H.J. Claas
This network shows the impact of papers produced by Frans H.J. Claas. 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 Frans H.J. Claas. The network helps show where Frans H.J. Claas may publish in the future.
Co-authorship network of co-authors of Frans H.J. Claas
This figure shows the co-authorship network connecting the top 25 collaborators of Frans H.J. Claas. A scholar is included among the top collaborators of Frans H.J. Claas 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 Frans H.J. Claas. Frans H.J. Claas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 30 | |
| 6 | 34 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 17 | |
| 11 | 8 | |
| 12 | 34 | |
| 13 | 65 | |
| 14 | 2 | |
| 15 | 17 | |
| 16 | 26 | |
| 17 | Human monoclonal antibody reactivity with HLA class I epitopes defined by pairs of mismatched eplets and self eplets | 2 |
| 18 | 231 | |
| 19 | 133 | |
| 20 | 67 |
About Frans H.J. Claas
Frans H.J. Claas is a scholar working on Transplantation, Immunology and Hematology, having authored 585 papers that have together received 19.2k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (227 papers), T-cell and B-cell Immunology (174 papers) and Immune Cell Function and Interaction (121 papers). The work is most often cited by research in Transplantation (5.2k citations), Immunology (8.8k citations) and Obstetrics and Gynecology (2.0k citations). Frans H.J. Claas has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Dave L. Roelen, Sicco A. Scherjon, Ilias I.N. Doxiadis, Arend Mulder, Jon J. van Rood, Humphrey H.H. Kanhai, Sebastiaan Heidt, Willem E. Fibbe, Geert W. Haasnoot and Guido G. Persijn. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.