Anna Gil
Impact in
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 3
- Immune responses and vaccinations 3
- Immunotherapy and Immune Responses 2
- Immunodeficiency and Autoimmune Disorders 2
-
- RNA and protein synthesis mechanisms 2
- Co-authors
- Nicholas Proudfoot (2 shared papers)Tom Maniatis (1 shared paper)Liisa K. Selin (11 shared papers)Rabinarayan Mishra (3 shared papers)Dario Ghersi (7 shared papers)Gary W. Witherell (1 shared paper)Eckard Wimmer (1 shared paper)Yuri N. Naumov (1 shared paper)
- Journals
- mBio (2 papers)Cell (2 papers)PLoS Pathogens (2 papers)BMC Bioinformatics (2 papers)Journal of Virology (1 paper)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Anna Gil
17 papers receiving 814 citations
Peers
Comparison fields: 5 of 83
- Genetics 115
- Immunology 211
- Molecular Biology 492
- Hematology 55
- Genetics 125
Countries citing papers authored by Anna Gil
This map shows the geographic impact of Anna Gil'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 Anna Gil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Gil more than expected).
Fields of papers citing papers by Anna Gil
This network shows the impact of papers produced by Anna Gil. 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 Anna Gil. The network helps show where Anna Gil may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Gil, 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 | 1982 | 292 | |
| 2 | 1987 | 215 | |
| 3 | 2017 | 67 | |
| 4 | 2015 | 63 | |
| 5 | 1993 | 55 | |
| 6 | 2015 | 41 | |
| 7 | 2017 | 33 | |
| 8 | 2019 | 18 | |
| 9 | 2021 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2023 | 15 | |
| 12 | 2021 | 8 | |
| 13 | 2013 | 8 | |
| 14 | 2011 | 5 | |
| 15 | 2023 | 3 | |
| 16 | 2012 | 1 | |
| 17 | 2025 | 1 |
About Anna Gil
Anna Gil is a scholar working on Immunology, Molecular Biology, Epidemiology, Oncology and Genetics, having authored 17 papers that have together received 858 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers), Immune responses and vaccinations (3 papers), Herpesvirus Infections and Treatments (2 papers), RNA and protein synthesis mechanisms (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Immunotherapy and Immune Responses (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Genetics (115 citations), Immunology (211 citations), Molecular Biology (492 citations), Hematology (55 citations) and Genetics (125 citations). Anna Gil has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Nicholas Proudfoot, Tom Maniatis, Liisa K. Selin, Rabinarayan Mishra, Dario Ghersi, Gary W. Witherell, Eckard Wimmer, Yuri N. Naumov, Maryam Yassai and Nuray Aslan. Their work appears in journals such as mBio, Cell, PLoS Pathogens, BMC Bioinformatics and Journal of Virology.
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.