Tomás Gomes
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Single-cell and spatial transcriptomics 7
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
- Immunology 11
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 4
- Co-authors
- Nicholas Proudfoot (4 shared papers)Takayuki Nojima (4 shared papers)Maria Carmo‐Fonseca (4 shared papers)Tallulah Andrews (1 shared paper)John C. Marioni (1 shared paper)Samantha J. Riesenfeld (1 shared paper)Aaron T. L. Lun (1 shared paper)Sarah A. Teichmann (7 shared papers)
- Journals
- Molecular Cell (2 papers)Cell (2 papers)Scientific Reports (1 paper)Nature Communications (1 paper)Immunity (1 paper)
- Partner nations
- United KingdomPortugalFinland
In The Last Decade
Tomás Gomes
18 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 752
- Cancer Research 363
- Molecular Biology 1.5k
- Biophysics 61
- Oncology 254
Countries citing papers authored by Tomás Gomes
This map shows the geographic impact of Tomás Gomes'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 Tomás Gomes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomás Gomes more than expected).
Fields of papers citing papers by Tomás Gomes
This network shows the impact of papers produced by Tomás Gomes. 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 Tomás Gomes. The network helps show where Tomás Gomes may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomás Gomes, 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 | EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data Hit paper breakdown → | 2019 | 501 |
| 2 | 2015 | 400 | |
| 3 | 2019 | 322 | |
| 4 | 2016 | 208 | |
| 5 | 2020 | 165 | |
| 6 | 2019 | 125 | |
| 7 | 2018 | 104 | |
| 8 | 2016 | 79 | |
| 9 | 2020 | 64 | |
| 10 | 2018 | 60 | |
| 11 | 2019 | 54 | |
| 12 | 2022 | 47 | |
| 13 | 2019 | 34 | |
| 14 | 2018 | 31 | |
| 15 | 2018 | 30 | |
| 16 | 2021 | 28 | |
| 17 | 2024 | 5 | |
| 18 | 2025 | 5 |
About Tomás Gomes
Tomás Gomes is a scholar working on Molecular Biology, Immunology, Genetics, Cancer Research and Infectious Diseases, having authored 18 papers that have together received 2.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers), Single-cell and spatial transcriptomics (7 papers), Immunotherapy and Immune Responses (4 papers), RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Immunology (752 citations), Cancer Research (363 citations), Molecular Biology (1.5k citations), Biophysics (61 citations) and Oncology (254 citations). Tomás Gomes has collaborated with scholars based in United Kingdom, Portugal and Finland. Frequent co-authors include Nicholas Proudfoot, Takayuki Nojima, Maria Carmo‐Fonseca, Tallulah Andrews, John C. Marioni, Samantha J. Riesenfeld, Aaron T. L. Lun, Sarah A. Teichmann, Ana Rita Grosso and Somdutta Dhir. Their work appears in journals such as Molecular Cell, Cell, Scientific Reports, Nature Communications and Immunity.
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.