Da Di
Impact in
-
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Immunology 10
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 2
- Genetics 7
- Forensic and Genetic Research 3
- Evolution and Genetic Dynamics 2
- Genetic diversity and population structure 2
- Co-authors
- Alicia Sanchez‐Mazas (10 shared papers)Stéphane Bühler (3 shared papers)José Manuel Nunes (5 shared papers)Jean‐Michel Dugoujon (1 shared paper)João C. Teixeira (1 shared paper)Derek Middleton (1 shared paper)Raja Rajalingam (1 shared paper)Bastien Llamas (1 shared paper)
- Journals
- Molecular Biology and Evolution (2 papers)Frontiers in Immunology (2 papers)Journal of Visualized Experiments (1 paper)BMC Evolutionary Biology (1 paper)Oncotarget (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Da Di
16 papers receiving 318 citations
Peers
Comparison fields: 5 of 64
- Immunology 171
- Transplantation 12
- Infectious Diseases 67
- Virology 16
- Genetics 83
Countries citing papers authored by Da Di
This map shows the geographic impact of Da Di'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 Da Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Di more than expected).
Fields of papers citing papers by Da Di
This network shows the impact of papers produced by Da Di. 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 Da Di. The network helps show where Da Di may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Di, 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 | 2011 | 86 | |
| 2 | 2020 | 72 | |
| 3 | 2017 | 35 | |
| 4 | 2011 | 28 | |
| 5 | 2016 | 18 | |
| 6 | 2015 | 17 | |
| 7 | 2020 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 2014 | 12 | |
| 10 | 2022 | 8 | |
| 11 | 2015 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2011 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2016 | 3 | |
| 16 | 2011 | 2 |
About Da Di
Da Di is a scholar working on Immunology, Genetics, Molecular Biology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 16 papers that have together received 330 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (5 papers), vaccines and immunoinformatics approaches (4 papers), Forensic and Genetic Research (3 papers), Immunotherapy and Immune Responses (2 papers), Evolution and Genetic Dynamics (2 papers), Genetic diversity and population structure (2 papers) and Forensic Anthropology and Bioarchaeology Studies (1 paper). The work is most often cited by research in Immunology (171 citations), Transplantation (12 citations), Infectious Diseases (67 citations), Virology (16 citations) and Genetics (83 citations). Da Di has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Alicia Sanchez‐Mazas, Stéphane Bühler, José Manuel Nunes, Jean‐Michel Dugoujon, João C. Teixeira, Derek Middleton, Raja Rajalingam, Bastien Llamas, Erik Thorsby and Steven J. Mack. Their work appears in journals such as Molecular Biology and Evolution, Frontiers in Immunology, Journal of Visualized Experiments, BMC Evolutionary Biology and Oncotarget.
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.