Frans H.J. Claas
- Transplantation top 0.01%
- Renal Transplantation Outcomes and Treatments 227
- Immunology top 0.1%
- T-cell and B-cell Immunology 174
- Immune Cell Function and Interaction 121
- Reproductive System and Pregnancy 90
- Immunotherapy and Immune Responses 66
- Obstetrics and Gynecology top 0.2%
- Hematology top 0.2%
- Genetics top 0.2%
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- Organ Transplantation Techniques and Outcomes 71
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- Cytomegalovirus and herpesvirus research 66
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- Pregnancy and Medication Impact 55
- Co-authors
- Dave L. RoelenSicco A. ScherjonIlias I.N. DoxiadisArend MulderJon J. van RoodHumphrey H.H. KanhaiSebastiaan HeidtWillem E. Fibbe
- Journals
- Science (2 papers)New England Journal of Medicine (3 papers)Proceedings of the National Academy of Sciences (5 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
- Transplantation 5.2k
- Immunology 8.8k
- Obstetrics and Gynecology 2.0k
- Hematology 2.1k
- Genetics 1.9k
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
The 25 scholars most cited alongside Frans H.J. Claas, 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 | 2024 | 4 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 30 | |
| 6 | 2020 | 34 | |
| 7 | 2020 | 2 | |
| 8 | 2018 | 2 | |
| 9 | 2018 | 7 | |
| 10 | 2018 | 17 | |
| 11 | 2018 | 8 | |
| 12 | 2018 | 34 | |
| 13 | 2016 | 65 | |
| 14 | 2014 | 2 | |
| 15 | 2014 | 17 | |
| 16 | 2013 | 26 | |
| 17 | Human monoclonal antibody reactivity with HLA class I epitopes defined by pairs of mismatched eplets and self eplets | 2011 | 2 |
| 18 | 2010 | 231 | |
| 19 | 2010 | 133 | |
| 20 | 2008 | 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), Immune Cell Function and Interaction (121 papers), Reproductive System and Pregnancy (90 papers), Organ Transplantation Techniques and Outcomes (71 papers), Cytomegalovirus and herpesvirus research (66 papers), Immunotherapy and Immune Responses (66 papers) and Pregnancy and Medication Impact (55 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.