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
-
- Immune Cell Function and Interaction 3
- Immunodeficiency and Autoimmune Disorders 2
- T-cell and B-cell Immunology 2
-
- CRISPR and Genetic Engineering 7
- RNA Interference and Gene Delivery 4
- Pluripotent Stem Cells Research 2
- RNA and protein synthesis mechanisms 2
- Co-authors
- Klaus Rajewsky (11 shared papers)Van Trung Chu (10 shared papers)Ralf Kühn (7 shared papers)Kerstin Petsch (3 shared papers)Timm Weber (3 shared papers)Xun Li (3 shared papers)Thomas G. Sommermann (4 shared papers)Ulrike Sack (2 shared papers)
- Journals
- Cell Reports (2 papers)RNA Biology (1 paper)Molecular Therapy (1 paper)Science Advances (1 paper)Science (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Robin Graf
14 papers receiving 903 citations
Peers
Comparison fields: 5 of 68
- Aging 35
- Immunology 286
- Business and International Management 23
- Molecular Biology 564
- Genetics 173
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 | 242 | |
| 2 | 2015 | 205 | |
| 3 | 2016 | 113 | |
| 4 | 2019 | 98 | |
| 5 | 2019 | 76 | |
| 6 | 2013 | 56 | |
| 7 | 2020 | 38 | |
| 8 | 2022 | 27 | |
| 9 | 2019 | 25 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 9 | |
| 12 | 2017 | 5 | |
| 13 | 2025 | 4 | |
| 14 | 2024 | 4 |
About Robin Graf
Robin Graf is a scholar working on Immunology, Molecular Biology, Aging, Oncology and Genetics, having authored 14 papers that have together received 913 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), Pluripotent Stem Cells Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), CAR-T cell therapy research (2 papers), T-cell and B-cell Immunology (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Aging (35 citations), Immunology (286 citations), Business and International Management (23 citations), Molecular Biology (564 citations) and Genetics (173 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, Kerstin Petsch, Timm Weber, Xun Li, Thomas G. Sommermann, Ulrike Sack, Pavel Volchkov and Sandrine Sander. Their work appears in journals such as Cell Reports, RNA Biology, Molecular Therapy, Science Advances and Science.
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.