Robin Graf
Impact in
- Aging top 10%
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- CRISPR and Genetic Engineering 7
- RNA Interference and Gene Delivery 4
- Pluripotent Stem Cells Research 2
- Advanced biosensing and bioanalysis techniques 2
-
- Immune Cell Function and Interaction 3
- Immunodeficiency and Autoimmune Disorders 2
- T-cell and B-cell Immunology 2
- Co-authors
- Klaus Rajewsky (11 shared papers)Van Trung Chu (10 shared papers)Ralf Kühn (7 shared papers)Xun Li (3 shared papers)Kerstin Petsch (3 shared papers)Timm Weber (3 shared papers)Thomas Sommermann (4 shared papers)Ulrike Sack (2 shared papers)
- Journals
- Cell Reports (2 papers)Nature Communications (1 paper)BMC Biotechnology (1 paper)Leukemia (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Robin Graf
14 papers receiving 815 citations
Peers
Comparison fields: 5 of 67
- Aging 33
- Immunology 267
- Business and International Management 23
- Molecular Biology 526
- Genetics 157
Countries citing papers authored by Robin Graf
This map shows the geographic impact of Robin Graf'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 Robin Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Graf more than expected).
Fields of papers citing papers by Robin Graf
This network shows the impact of papers produced by Robin Graf. 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 Robin Graf. The network helps show where Robin Graf may publish in the future.
Co-authors
The 25 scholars most cited alongside Robin Graf, 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 | 2016 | 209 | |
| 2 | 2015 | 189 | |
| 3 | 2016 | 108 | |
| 4 | 2019 | 92 | |
| 5 | 2019 | 66 | |
| 6 | 2013 | 54 | |
| 7 | 2020 | 31 | |
| 8 | 2022 | 24 | |
| 9 | 2019 | 23 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 8 | |
| 12 | 2017 | 5 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 2 |
About Robin Graf
Robin Graf is a scholar working on Molecular Biology, Immunology, Oncology, Surgery and Genetics, having authored 14 papers that have together received 823 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), RNA Interference and Gene Delivery (4 papers), Immune Cell Function and Interaction (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), T-cell and B-cell Immunology (2 papers), Pluripotent Stem Cells Research (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Aging (33 citations), Immunology (267 citations), Business and International Management (23 citations), Molecular Biology (526 citations) and Genetics (157 citations). Robin Graf has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Klaus Rajewsky, Van Trung Chu, Ralf Kühn, Xun Li, Kerstin Petsch, Timm Weber, Thomas Sommermann, Ulrike Sack, Sandrine Sander and Pavel Volchkov. Their work appears in journals such as Cell Reports, Nature Communications, BMC Biotechnology, Leukemia and Frontiers in 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.