Tyler Funnell
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Cancer Genomics and Diagnostics 6
- Oncology 4
- CAR-T cell therapy research 3
- Cancer Immunotherapy and Biomarkers 1
- Co-authors
- Sohrab P. Shah (3 shared papers)Ali Bashashati (2 shared papers)Yi Kan Wang (1 shared paper)Allen W. Zhang (1 shared paper)Steven E. McKinney (1 shared paper)Diljot S. Grewal (1 shared paper)Samuel A. J. R. Aparicio (2 shared papers)Gavin Ha (1 shared paper)
- Journals
- Nature Communications (3 papers)Nature (3 papers)Transplantation and Cellular Therapy (2 papers)Blood (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Tyler Funnell
14 papers receiving 907 citations
Tyler Funnell's Hit Papers
Peers
Comparison fields: 5 of 80
- Reproductive Medicine 250
- Cancer Research 196
- Oncology 233
- Molecular Biology 232
- Immunology 71
Countries citing papers authored by Tyler Funnell
This map shows the geographic impact of Tyler Funnell'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 Tyler Funnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Funnell more than expected).
Fields of papers citing papers by Tyler Funnell
This network shows the impact of papers produced by Tyler Funnell. 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 Tyler Funnell. The network helps show where Tyler Funnell may publish in the future.
Co-authors
The 25 scholars most cited alongside Tyler Funnell, 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 | 2018 | 283 | |
| 2 | Ovarian cancer mutational processes drive site-specific immune evasion Hit paper breakdown → | 2022 | 216 |
| 3 | 2017 | 128 | |
| 4 | 2022 | 84 | |
| 5 | 2015 | 76 | |
| 6 | 2019 | 47 | |
| 7 | 2025 | 35 | |
| 8 | 2024 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2022 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2026 | 0 |
About Tyler Funnell
Tyler Funnell is a scholar working on Cancer Research, Oncology, Reproductive Medicine, Molecular Biology and Statistics and Probability, having authored 15 papers that have together received 919 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), CAR-T cell therapy research (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Gut microbiota and health (2 papers), Mitochondrial Function and Pathology (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), RNA Research and Splicing (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Reproductive Medicine (250 citations), Cancer Research (196 citations), Oncology (233 citations), Molecular Biology (232 citations) and Immunology (71 citations). Tyler Funnell has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Sohrab P. Shah, Ali Bashashati, Yi Kan Wang, Allen W. Zhang, Steven E. McKinney, Diljot S. Grewal, Samuel A. J. R. Aparicio, Gavin Ha, Anne Condon and Jiarui Ding. Their work appears in journals such as Nature Communications, Nature, Transplantation and Cellular Therapy, Blood and Nature Medicine.
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.