Da Di

581 citations
16 papers · 322 · h-index 9

Impact in

    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 9
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 2
    • vaccines and immunoinformatics approaches 4

Da Di

16 papers receiving 311 citations

Peers

Da Di
Comparison fields: 5 of 64
  • Immunology 182
  • Transplantation 14
  • Infectious Diseases 75
  • Virology 16
  • Genetics 87
Replace E McLaughlin-Taylor with:
E McLaughlin-Taylor United States
Jeroen H. Blokhuis Netherlands
Joshua B. Alinger United States
Nadine Beimforde Germany
Benjamin D. McElvany United States
Maria F. Perdomo Finland
Michelle Ainouze France
Ariane Volkmann United States
Jared E. Duncan United States
Maria Tokuyama United States
Da Di relative to E McLaughlin-Taylor United States E McLaughlin-Taylor's profile →
Citations per field
00.5×10×15×19.5×
E McLaughlin-Taylor · 1×
Citations per year

Countries citing papers authored by Da Di

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Da Di Line = papers co-authored together Da Di links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201185
2 202071
3 201735
4 201128
5 201517
6 201617
7 202012
8 201411
9 202211
10 20228
11 20158
12 20197
13 20114
14 20163
15 20223
16 20112

About Da Di

Da Di is a scholar working on Immunology, Molecular Biology, Genetics, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 16 papers that have together received 322 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), Genetic diversity and population structure (2 papers), Evolution and Genetic Dynamics (2 papers) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Immunology (182 citations), Transplantation (14 citations), Infectious Diseases (75 citations), Virology (16 citations) and Genetics (87 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, Jill A. Hollenbach, Derek Middleton, Marcelo Fernández-Viña, João C. Teixeira, Bastien Llamas and Steven J. Mack. Their work appears in journals such as Molecular Biology and Evolution, Frontiers in Immunology, American Journal of Physical Anthropology, Rice and Immunology.

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.

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