Da Di
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Transplantation top 10%
Papers in
- Immunology 13
- T-cell and B-cell Immunology 12
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 2
- Genetics 8
- Forensic and Genetic Research 3
- Genetic diversity and population structure 2
- Evolution and Genetic Dynamics 2
- Co-authors
- Alicia Sanchez‐Mazas (10 shared papers)Stéphane Bühler (3 shared papers)José Manuel Nunes (5 shared papers)Raja Rajalingam (1 shared paper)Marcelo Fernández-Viña (1 shared paper)Bastien Llamas (1 shared paper)João C. Teixeira (1 shared paper)Jean‐Michel Dugoujon (1 shared paper)
- Journals
- Molecular Biology and Evolution (2 papers)Frontiers in Immunology (2 papers)American Journal of Physical Anthropology (1 paper)BMC Evolutionary Biology (1 paper)Evolutionary Bioinformatics (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Da Di
19 papers receiving 446 citations
Peers
Comparison fields: 5 of 69
- Immunology 259
- Transplantation 24
- Hematology 57
- Virology 21
- Infectious Diseases 75
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 | 95 | |
| 2 | 2020 | 78 | |
| 3 | 2010 | 40 | |
| 4 | 2017 | 40 | |
| 5 | 2011 | 33 | |
| 6 | 2012 | 31 | |
| 7 | 2015 | 20 | |
| 8 | 2024 | 20 | |
| 9 | 2016 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2014 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 11 | |
| 14 | 2015 | 8 | |
| 15 | 2019 | 8 | |
| 16 | 2011 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2011 | 2 |
About Da Di
Da Di is a scholar working on Immunology, Genetics, Transplantation, Hematology and Molecular Biology, having authored 19 papers that have together received 461 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (5 papers), vaccines and immunoinformatics approaches (4 papers), Forensic and Genetic Research (3 papers), Genetic diversity and population structure (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Immunotherapy and Immune Responses (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Immunology (259 citations), Transplantation (24 citations), Hematology (57 citations), Virology (21 citations) and Infectious Diseases (75 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, Raja Rajalingam, Marcelo Fernández-Viña, Bastien Llamas, João C. Teixeira, Jean‐Michel Dugoujon, Jill A. Hollenbach and Derek Middleton. Their work appears in journals such as Molecular Biology and Evolution, Frontiers in Immunology, American Journal of Physical Anthropology, BMC Evolutionary Biology and Evolutionary Bioinformatics.
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.