Roberto Tinoco
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 15
- T-cell and B-cell Immunology 14
- Oncology 13
- Cancer Immunotherapy and Biomarkers 13
- Co-authors
- Linda M. Bradley (11 shared papers)Anne S. Dejean (1 shared paper)Yann M. Kerdiles (1 shared paper)Ronald Anthony DePinho (1 shared paper)Stephen Μ. Hedrick (1 shared paper)Diego H. Castrillón (1 shared paper)Daniel R. Beisner (1 shared paper)Dennis C. Otero (4 shared papers)
- Journals
- Frontiers in Immunology (4 papers)Nature Communications (3 papers)Immunity (3 papers)Cell Reports (3 papers)Nature Immunology (2 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Roberto Tinoco
24 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 75
- Immunology 632
- Oncology 451
- Virology 55
- Immunology and Allergy 45
- Molecular Biology 528
Countries citing papers authored by Roberto Tinoco
This map shows the geographic impact of Roberto Tinoco'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 Roberto Tinoco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Tinoco more than expected).
Fields of papers citing papers by Roberto Tinoco
This network shows the impact of papers produced by Roberto Tinoco. 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 Roberto Tinoco. The network helps show where Roberto Tinoco may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Tinoco, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 445 | |
| 2 | 2009 | 230 | |
| 3 | 2020 | 154 | |
| 4 | 2016 | 152 | |
| 5 | 2019 | 145 | |
| 6 | 2012 | 119 | |
| 7 | 2017 | 118 | |
| 8 | 2018 | 50 | |
| 9 | 2019 | 45 | |
| 10 | 2021 | 45 | |
| 11 | 2016 | 32 | |
| 12 | 2018 | 31 | |
| 13 | 2023 | 30 | |
| 14 | 2023 | 26 | |
| 15 | 2022 | 24 | |
| 16 | 2020 | 21 | |
| 17 | 2022 | 19 | |
| 18 | 2021 | 16 | |
| 19 | 2023 | 16 | |
| 20 | 2022 | 14 |
About Roberto Tinoco
Roberto Tinoco is a scholar working on Immunology, Oncology, Immunology and Allergy, Molecular Biology and Aging, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (14 papers), Cancer Immunotherapy and Biomarkers (13 papers), Gut microbiota and health (3 papers), Cell Adhesion Molecules Research (2 papers), Microbial Metabolites in Food Biotechnology (1 paper), Ubiquitin and proteasome pathways (1 paper), Genital Health and Disease (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Immunology (632 citations), Oncology (451 citations), Virology (55 citations), Immunology and Allergy (45 citations) and Molecular Biology (528 citations). Roberto Tinoco has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Linda M. Bradley, Anne S. Dejean, Yann M. Kerdiles, Ronald Anthony DePinho, Stephen Μ. Hedrick, Diego H. Castrillón, Daniel R. Beisner, Dennis C. Otero, Yating Yang and Víctor Alcalde. Their work appears in journals such as Frontiers in Immunology, Nature Communications, Immunity, Cell Reports and Nature Immunology.
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.