Benjamin Weide
- Immunology top 1%
- Immunotherapy and Immune Responses 27
- Immune Cell Function and Interaction 8
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers 24
- Cutaneous Melanoma Detection and Management 19
- CAR-T cell therapy research 19
- Molecular Biology top 5%
- Melanoma and MAPK Pathways 17
- RNA Interference and Gene Delivery 5
- Dermatology top 2%
- Cancer Research top 10%
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- Nonmelanoma Skin Cancer Studies 6
- Co-authors
- Claus GarbeThomas EigentlerGraham PawelecSteve PascoloAnnette PflugfelderBirgit ScheelIngmar HoerrHans‐Georg Rammensee
- Cited by
- ImmunologyOncologyMolecular Biology
- Journals
- Cancer Immunology Immunotherapy (7 papers)Journal of Clinical Oncology (6 papers)PLoS ONE (6 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Benjamin Weide
73 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 2.0k
- Oncology 2.1k
- Molecular Biology 1.4k
- Dermatology 176
- Cancer Research 216
Countries citing papers authored by Benjamin Weide
This map shows the geographic impact of Benjamin Weide'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 Benjamin Weide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Weide more than expected).
Fields of papers citing papers by Benjamin Weide
This network shows the impact of papers produced by Benjamin Weide. 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 Benjamin Weide. The network helps show where Benjamin Weide may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benjamin Weide, 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 | 2021 | 11 | |
| 2 | 2020 | 7 | |
| 3 | 2019 | 41 | |
| 4 | 2017 | 13 | |
| 5 | 2017 | 30 | |
| 6 | 2017 | 17 | |
| 7 | 2016 | 141 | |
| 8 | 2016 | 27 | |
| 9 | 2015 | 10 | |
| 10 | 2014 | 77 | |
| 11 | 2014 | 35 | |
| 12 | 2014 | 4 | |
| 13 | 2014 | 16 | |
| 14 | 2013 | 210 | |
| 15 | 2013 | 23 | |
| 16 | 2013 | 52 | |
| 17 | 2012 | 19 | |
| 18 | 2011 | 125 | |
| 19 | 2011 | 40 | |
| 20 | 2010 | 17 |
About Benjamin Weide
Benjamin Weide is a scholar working on Oncology, Immunology and Dermatology, having authored 74 papers that have together received 3.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (27 papers), Cancer Immunotherapy and Biomarkers (24 papers), Cutaneous Melanoma Detection and Management (19 papers), CAR-T cell therapy research (19 papers), Melanoma and MAPK Pathways (17 papers), Immune Cell Function and Interaction (8 papers), Nonmelanoma Skin Cancer Studies (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Immunology (2.0k citations), Oncology (2.1k citations) and Molecular Biology (1.4k citations). Benjamin Weide has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Claus Garbe, Thomas Eigentler, Graham Pawelec, Steve Pascolo, Annette Pflugfelder, Birgit Scheel, Ingmar Hoerr, Hans‐Georg Rammensee, Evelyna Derhovanessian and Henning Zelba. Their work appears in journals such as Cancer Immunology Immunotherapy, Journal of Clinical Oncology, PLoS ONE, Clinical Cancer Research and British Journal of Dermatology.
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.