Tabea Moll
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
-
- Peroxisome Proliferator-Activated Receptors 2
- vaccines and immunoinformatics approaches 2
- Melanoma and MAPK Pathways 1
-
- Zebrafish Biomedical Research Applications 2
- Co-authors
- Dennie T. Frederick (3 shared papers)Tian Tian (2 shared papers)Meenhard Herlyn (3 shared papers)Zhi Wei (2 shared papers)Genevieve M. Boland (3 shared papers)Gao Zhang (3 shared papers)Benchun Miao (2 shared papers)Ryan J. Sullivan (3 shared papers)
- Journals
- Nature Communications (2 papers)Nature Medicine (1 paper)Journal of Clinical Oncology (1 paper)Melanoma Research (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Tabea Moll
7 papers receiving 644 citations
Tabea Moll's Hit Papers
Peers
Comparison fields: 5 of 74
- Oncology 310
- Immunology 233
- Cancer Research 93
- Pulmonary and Respiratory Medicine 118
- Molecular Biology 183
Countries citing papers authored by Tabea Moll
This map shows the geographic impact of Tabea Moll'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 Tabea Moll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tabea Moll more than expected).
Fields of papers citing papers by Tabea Moll
This network shows the impact of papers produced by Tabea Moll. 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 Tabea Moll. The network helps show where Tabea Moll may publish in the future.
Co-authors
The 25 scholars most cited alongside Tabea Moll, 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 | Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma Hit paper breakdown → | 2018 | 465 |
| 2 | 1995 | 110 | |
| 3 | 2021 | 29 | |
| 4 | 2024 | 19 | |
| 5 | 2018 | 12 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 9 | |
| 8 | 2023 | 0 | |
| 9 | 2018 | 0 |
About Tabea Moll
Tabea Moll is a scholar working on Molecular Biology, Cell Biology, Immunology, Oncology and Epidemiology, having authored 9 papers that have together received 653 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (2 papers), Immunotherapy and Immune Responses (2 papers), Zebrafish Biomedical Research Applications (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), vaccines and immunoinformatics approaches (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Wildlife Ecology and Conservation (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Oncology (310 citations), Immunology (233 citations), Cancer Research (93 citations), Pulmonary and Respiratory Medicine (118 citations) and Molecular Biology (183 citations). Tabea Moll has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Dennie T. Frederick, Tian Tian, Meenhard Herlyn, Zhi Wei, Genevieve M. Boland, Gao Zhang, Benchun Miao, Ryan J. Sullivan, Keith T. Flaherty and Noam Auslander. Their work appears in journals such as Nature Communications, Nature Medicine, Journal of Clinical Oncology, Melanoma Research and Arteriosclerosis Thrombosis and Vascular Biology.
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.