Eric Tycksen
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- RNA Research and Splicing 3
- Bone Metabolism and Diseases 3
- RNA regulation and disease 3
- Surgery 7
- Co-authors
- Paul F. Cliften (4 shared papers)Yong‐Chen Lu (1 shared paper)Mona El‐Gamil (1 shared paper)Steven A. Rosenberg (1 shared paper)Yong F. Li (1 shared paper)Jared J. Gartner (1 shared paper)Yardena Samuels (1 shared paper)Jamie K. Teer (1 shared paper)
- Journals
- Journal of Orthopaedic Research® (4 papers)Nature Communications (4 papers)Osteoarthritis and Cartilage (2 papers)Bone (2 papers)eLife (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Eric Tycksen
52 papers receiving 2.2k citations
Eric Tycksen's Hit Papers
Peers
Comparison fields: 5 of 108
- Immunology 735
- Oncology 755
- Aging 32
- Cancer Research 200
- Molecular Biology 844
Countries citing papers authored by Eric Tycksen
This map shows the geographic impact of Eric Tycksen'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 Eric Tycksen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Tycksen more than expected).
Fields of papers citing papers by Eric Tycksen
This network shows the impact of papers produced by Eric Tycksen. 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 Eric Tycksen. The network helps show where Eric Tycksen may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Tycksen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mining exomic sequencing data to identify mutated antigens recognized by adoptively transferred tumor-reactive T cells Hit paper breakdown → | 2013 | 833 |
| 2 | 2019 | 189 | |
| 3 | 2017 | 177 | |
| 4 | 2021 | 78 | |
| 5 | 2023 | 78 | |
| 6 | 2020 | 75 | |
| 7 | 2020 | 67 | |
| 8 | 2019 | 67 | |
| 9 | 2017 | 59 | |
| 10 | 2018 | 41 | |
| 11 | 2020 | 39 | |
| 12 | 2020 | 38 | |
| 13 | 2021 | 36 | |
| 14 | 2016 | 35 | |
| 15 | 2021 | 33 | |
| 16 | 2023 | 32 | |
| 17 | 2020 | 30 | |
| 18 | 2019 | 29 | |
| 19 | 2019 | 25 | |
| 20 | 2019 | 23 |
About Eric Tycksen
Eric Tycksen is a scholar working on Molecular Biology, Surgery, Cancer Research, Epidemiology and Rheumatology, having authored 54 papers that have together received 2.3k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Immune cells in cancer (3 papers), RNA Research and Splicing (3 papers), Bone Metabolism and Diseases (3 papers), RNA regulation and disease (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroendocrine regulation and behavior (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Immunology (735 citations), Oncology (755 citations), Aging (32 citations), Cancer Research (200 citations) and Molecular Biology (844 citations). Eric Tycksen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Paul F. Cliften, Yong‐Chen Lu, Mona El‐Gamil, Steven A. Rosenberg, Yong F. Li, Jared J. Gartner, Yardena Samuels, Jamie K. Teer, Jimmy Lin and Paul F. Robbins. Their work appears in journals such as Journal of Orthopaedic Research®, Nature Communications, Osteoarthritis and Cartilage, Bone and eLife.
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.