Andrea van Elsas
- Immunology top 0.5%
- Immunotherapy and Immune Responses 17
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 10
- Oncology top 1%
- CAR-T cell therapy research 8
- Cancer Immunotherapy and Biomarkers 7
- Hematology top 5%
- Multiple Myeloma Research and Treatments 6
- Molecular Biology top 5%
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- Monoclonal and Polyclonal Antibodies Research 7
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- Muscle and Compartmental Disorders 6
- Co-authors
- James P. AllisonArthur A. HurwitzRoger P.M. SutmullerRienk OffringaLeonie M. van DuivenvoordeCornelis J.M. MeliefRené E. M. ToesTon N. Schumacher
- Cited by
- ImmunologyOncologyHematology
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Andrea van Elsas
49 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Immunology 2.5k
- Oncology 2.0k
- Hematology 285
- Molecular Biology 1.3k
- Radiology, Nuclear Medicine and Imaging 306
Countries citing papers authored by Andrea van Elsas
This map shows the geographic impact of Andrea van Elsas'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 Andrea van Elsas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea van Elsas more than expected).
Fields of papers citing papers by Andrea van Elsas
This network shows the impact of papers produced by Andrea van Elsas. 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 Andrea van Elsas. The network helps show where Andrea van Elsas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrea van Elsas, 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 | 2025 | 1 | |
| 2 | 2022 | 13 | |
| 3 | 2020 | 81 | |
| 4 | 2020 | 14 | |
| 5 | 2020 | 3 | |
| 6 | 2019 | 56 | |
| 7 | 2018 | 66 | |
| 8 | 2014 | 43 | |
| 9 | 2014 | 56 | |
| 10 | 2012 | 30 | |
| 11 | 2010 | 93 | |
| 12 | 2009 | 42 | |
| 13 | 2000 | 63 | |
| 14 | 1998 | 410 | |
| 15 | 1997 | 13 | |
| 16 | 1996 | 75 | |
| 17 | Analysis of N-ras mutations in human cutaneous melanoma: tumor heterogeneity detected by polymerase chain reaction/single-stranded conformation polymorphism analysis | 1995 | 1 |
| 18 | 1995 | 36 | |
| 19 | 1995 | 65 | |
| 20 | 1994 | 2 |
About Andrea van Elsas
Andrea van Elsas is a scholar working on Immunology, Oncology and Hematology, having authored 49 papers that have together received 4.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (17 papers), Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (10 papers), CAR-T cell therapy research (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Multiple Myeloma Research and Treatments (6 papers) and Muscle and Compartmental Disorders (6 papers). The work is most often cited by research in Immunology (2.5k citations), Oncology (2.0k citations) and Hematology (285 citations). Andrea van Elsas has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include James P. Allison, Arthur A. Hurwitz, Roger P.M. Sutmuller, Rienk Offringa, Leonie M. van Duivenvoorde, Cornelis J.M. Melief, René E. M. Toes, Ton N. Schumacher, Manon E. Wildenberg and Peter I. Schrier. Their work appears in journals such as Cancer Research, Blood, Journal of Investigative Dermatology, The Journal of Experimental Medicine and Journal of Immunological Methods.
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.