Marcus Ruscetti
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cancer-related Molecular Pathways
- Cancer Research top 5%
Papers in
- Immunology 14
- Immune cells in cancer 7
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 4
- Oncology 12
- Cancer Immunotherapy and Biomarkers 4
- Cancer Cells and Metastasis 3
- Co-authors
- Hong Wu (7 shared papers)David J. Mulholland (3 shared papers)Linh M. Tran (2 shared papers)Martin Gleave (1 shared paper)Naoko Kobayashi (1 shared paper)Jiaoti Huang (1 shared paper)Eman L. Dadashian (2 shared papers)Bill Quach (2 shared papers)
- Journals
- Cancer Research (8 papers)Cancer Discovery (2 papers)Journal of Clinical Investigation (2 papers)Molecular Cancer Therapeutics (2 papers)Developmental Cell (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Marcus Ruscetti
23 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 83
- Oncology 623
- Cancer Research 283
- Immunology 366
- Pulmonary and Respiratory Medicine 340
- Physiology 274
Countries citing papers authored by Marcus Ruscetti
This map shows the geographic impact of Marcus Ruscetti'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 Marcus Ruscetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Ruscetti more than expected).
Fields of papers citing papers by Marcus Ruscetti
This network shows the impact of papers produced by Marcus Ruscetti. 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 Marcus Ruscetti. The network helps show where Marcus Ruscetti may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcus Ruscetti, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 385 | |
| 2 | 2020 | 295 | |
| 3 | 2018 | 286 | |
| 4 | 2015 | 175 | |
| 5 | 2014 | 110 | |
| 6 | 2015 | 106 | |
| 7 | 2022 | 97 | |
| 8 | 2024 | 30 | |
| 9 | 2015 | 13 | |
| 10 | 2024 | 11 | |
| 11 | 2024 | 7 | |
| 12 | 2018 | 7 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 1 |
About Marcus Ruscetti
Marcus Ruscetti is a scholar working on Immunology, Oncology, Molecular Biology, Physiology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune cells in cancer (7 papers), Telomeres, Telomerase, and Senescence (7 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (4 papers), Prostate Cancer Treatment and Research (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer Cells and Metastasis (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Oncology (623 citations), Cancer Research (283 citations), Immunology (366 citations), Pulmonary and Respiratory Medicine (340 citations) and Physiology (274 citations). Marcus Ruscetti has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Hong Wu, David J. Mulholland, Linh M. Tran, Martin Gleave, Naoko Kobayashi, Jiaoti Huang, Eman L. Dadashian, Bill Quach, Loretah Chibaya and Yu-Jui Ho. Their work appears in journals such as Cancer Research, Cancer Discovery, Journal of Clinical Investigation, Molecular Cancer Therapeutics and Developmental Cell.
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.