Daniel Sobral
Impact in
- Virology top 1%
- Poxvirus research and outbreaks
- Endocrinology top 10%
Papers in
-
- Genomics and Chromatin Dynamics 5
- Epigenetics and DNA Methylation 4
- RNA Research and Splicing 3
- Genetics 7
- Co-authors
- Ana Paiva (6 shared papers)Lynne Hall (6 shared papers)Ruth Aylett (3 shared papers)Carsten Zoll (3 shared papers)João Dias (3 shared papers)João Paulo Gomes (4 shared papers)Verónica Mixão (2 shared papers)Vítor Borges (3 shared papers)
- Journals
- eLife (3 papers)Cold Spring Harbor Protocols (3 papers)Developmental Biology (2 papers)Frontiers in Immunology (2 papers)Veterinary Research (2 papers)
- Partner nations
- PortugalFranceUnited Kingdom
In The Last Decade
Daniel Sobral
49 papers receiving 1.6k citations
Daniel Sobral's Hit Papers
Peers
Comparison fields: 5 of 124
- Virology 482
- Endocrinology 64
- Social Psychology 228
- Molecular Biology 719
- Epidemiology 303
Countries citing papers authored by Daniel Sobral
This map shows the geographic impact of Daniel Sobral'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 Daniel Sobral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sobral more than expected).
Fields of papers citing papers by Daniel Sobral
This network shows the impact of papers produced by Daniel Sobral. 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 Daniel Sobral. The network helps show where Daniel Sobral may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sobral, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Phylogenomic characterization and signs of microevolution in the 2022 multi-country outbreak of monkeypox virus Hit paper breakdown → | 2022 | 515 |
| 2 | 2004 | 147 | |
| 3 | 2005 | 145 | |
| 4 | 2014 | 133 | |
| 5 | 2021 | 56 | |
| 6 | 2014 | 42 | |
| 7 | 2012 | 41 | |
| 8 | 2020 | 38 | |
| 9 | 2011 | 34 | |
| 10 | 2004 | 33 | |
| 11 | 2003 | 32 | |
| 12 | 2014 | 31 | |
| 13 | 2012 | 30 | |
| 14 | 2011 | 25 | |
| 15 | 2009 | 24 | |
| 16 | 2019 | 20 | |
| 17 | 2023 | 20 | |
| 18 | 2020 | 18 | |
| 19 | 2021 | 17 | |
| 20 | 2015 | 17 |
About Daniel Sobral
Daniel Sobral is a scholar working on Molecular Biology, Genetics, Social Psychology, Immunology and Global and Planetary Change, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Marine Ecology and Invasive Species (5 papers), Human Motion and Animation (4 papers), Epigenetics and DNA Methylation (4 papers), Social Robot Interaction and HRI (4 papers), RNA Research and Splicing (3 papers), Artificial Intelligence in Games (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Virology (482 citations), Endocrinology (64 citations), Social Psychology (228 citations), Molecular Biology (719 citations) and Epidemiology (303 citations). Daniel Sobral has collaborated with scholars based in Portugal, France and United Kingdom. Frequent co-authors include Ana Paiva, Lynne Hall, Ruth Aylett, Carsten Zoll, João Dias, João Paulo Gomes, Verónica Mixão, Vítor Borges, Miguel Pinto and Luı́s Vieira. Their work appears in journals such as eLife, Cold Spring Harbor Protocols, Developmental Biology, Frontiers in Immunology and Veterinary Research.
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.