Rob Woestenenk
- Immunology top 5%
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 4
- Invertebrate Immune Response Mechanisms 2
- Dermatology top 5%
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation 3
- Oncology top 10%
- CAR-T cell therapy research 5
- Cancer Immunotherapy and Biomarkers 2
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- Renal and related cancers 2
- Co-authors
- Hans J. P. M. KoenenIrma JoostenP C van de KerkhofH. Jorn BovenschenP.E.J. van ErpFrank PreijersHarry DolstraWillemijn Hobo
- Cited by
- ImmunologyDermatologyHematology
- Journals
- Nucleic Acids Research (1 paper)Nature Communications (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- NetherlandsUnited StatesSingapore
In The Last Decade
Rob Woestenenk
22 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Immunology 878
- Dermatology 100
- Hematology 125
- Public Health, Environmental and Occupational Health 320
- Oncology 280
Countries citing papers authored by Rob Woestenenk
This map shows the geographic impact of Rob Woestenenk'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 Rob Woestenenk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Woestenenk more than expected).
Fields of papers citing papers by Rob Woestenenk
This network shows the impact of papers produced by Rob Woestenenk. 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 Rob Woestenenk. The network helps show where Rob Woestenenk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rob Woestenenk, 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 | 2020 | 54 | |
| 2 | 2020 | 15 | |
| 3 | 2019 | 137 | |
| 4 | 2018 | 112 | |
| 5 | 2017 | 38 | |
| 6 | 2016 | 40 | |
| 7 | 2016 | 15 | |
| 8 | 2016 | 94 | |
| 9 | 2016 | 14 | |
| 10 | 2016 | 177 | |
| 11 | 2016 | 39 | |
| 12 | 2014 | 14 | |
| 13 | 2011 | 334 | |
| 14 | 2011 | 37 | |
| 15 | 2011 | 58 | |
| 16 | 2011 | 133 | |
| 17 | Breast cancer resistance protein 1 (bcrp) and p-glycoprotein (mdr1) are key players in renal regeneration after ischemic injury | 2009 | 1 |
| 18 | 2009 | 16 | |
| 19 | 2008 | 107 | |
| 20 | 2007 | 12 |
About Rob Woestenenk
Rob Woestenenk is a scholar working on Immunology, Hematology and Oncology, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (8 papers), CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Renal and related cancers (2 papers), Invertebrate Immune Response Mechanisms (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Immunology (878 citations), Dermatology (100 citations) and Hematology (125 citations). Rob Woestenenk has collaborated with scholars based in Netherlands, United States and Singapore. Frequent co-authors include Hans J. P. M. Koenen, Irma Joosten, P C van de Kerkhof, H. Jorn Bovenschen, P.E.J. van Erp, Frank Preijers, Harry Dolstra, Willemijn Hobo, Robert W. Sauerwein and Anniek B. van der Waart. Their work appears in journals such as Nucleic Acids Research, Nature Communications and The Journal of Immunology.
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.