Leonie S. Taams
- Immunology top 0.2%
- Rheumatology top 0.5%
- Molecular Biology top 10%
- Oncology top 5%
- Hematology top 2%
- Co-authors
- Arne N. AkbarHayley G. EvansMachteld M. TiemessenFloris P. J. G. LafeberJ. W. J. BijlsmaBruce KirkhamKim M. G. JacobsMilica Vukmanovic‐Stejic
- Topics
- T-cell and B-cell Immunology (51 papers)Immune Cell Function and Interaction (40 papers)Immunotherapy and Immune Responses (39 papers)
- Cited by
- ImmunologyRheumatologyHematology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Medicine
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Leonie S. Taams
95 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 4.8k
- Rheumatology 1.1k
- Molecular Biology 1.0k
- Oncology 928
- Hematology 613
Countries citing papers authored by Leonie S. Taams
This map shows the geographic impact of Leonie S. Taams'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 Leonie S. Taams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonie S. Taams more than expected).
Fields of papers citing papers by Leonie S. Taams
This network shows the impact of papers produced by Leonie S. Taams. 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 Leonie S. Taams. The network helps show where Leonie S. Taams may publish in the future.
Co-authorship network of co-authors of Leonie S. Taams
This figure shows the co-authorship network connecting the top 25 collaborators of Leonie S. Taams. A scholar is included among the top collaborators of Leonie S. Taams 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 Leonie S. Taams. Leonie S. Taams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 30 | |
| 7 | 5 | |
| 8 | 14 | |
| 9 | 57 | |
| 10 | 30 | |
| 11 | 19 | |
| 12 | 17 | |
| 13 | 65 | |
| 14 | 3 | |
| 15 | 108 | |
| 16 | 208 | |
| 17 | CD4 + CD25 + Foxp3 + regulatory T cells induce alternative activation of human monocytes/macrophagesbreakdown → | 673 |
| 18 | 307 | |
| 19 | 30 | |
| 20 | 40 |
About Leonie S. Taams
Leonie S. Taams is a scholar working on Immunology, Rheumatology and Hematology, having authored 100 papers that have together received 7.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (51 papers), Immune Cell Function and Interaction (40 papers) and Immunotherapy and Immune Responses (39 papers). The work is most often cited by research in Immunology (4.8k citations), Rheumatology (1.1k citations) and Hematology (613 citations). Leonie S. Taams has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Arne N. Akbar, Hayley G. Evans, Machteld M. Tiemessen, Floris P. J. G. Lafeber, J. W. J. Bijlsma, Bruce Kirkham, Kim M. G. Jacobs, Milica Vukmanovic‐Stejic, Ann Jagger and Malcolm H.A. Rustin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature 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.