Da Di

581 total citations
16 papers, 322 citations indexed

About

Da Di is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Da Di has authored 16 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Da Di's work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (5 papers) and vaccines and immunoinformatics approaches (4 papers). Da Di is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (5 papers) and vaccines and immunoinformatics approaches (4 papers). Da Di collaborates with scholars based in Switzerland, United Kingdom and United States. Da Di's co-authors include Alicia Sanchez‐Mazas, Stéphane Bühler, José Manuel Nunes, Marcelo Fernández-Viña, Jean‐Michel Dugoujon, Steven J. Mack, Bastien Llamas, Raja Rajalingam, Erik Thorsby and Derek Middleton and has published in prestigious journals such as Molecular Ecology, Molecular Biology and Evolution and Frontiers in Immunology.

In The Last Decade

Da Di

16 papers receiving 311 citations

Peers

Da Di
Jeroen H. Blokhuis Netherlands
Joshua B. Alinger United States
Jorn Kaspers Netherlands
Vesselin Mitaksov United States
Cathrine Scheepers South Africa
R. Sodoyer France
Maria Tokuyama United States
Jeroen H. Blokhuis Netherlands
Da Di
Citations per year, relative to Da Di Da Di (= 1×) peers Jeroen H. Blokhuis

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-authorship network of co-authors of Da Di

This figure shows the co-authorship network connecting the top 25 collaborators of Da Di. A scholar is included among the top collaborators of Da Di based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Da Di. Da Di is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
2.
Li, Yunfang, Kristin M. Snyder, Sam C. Wang, et al.. (2022). Examination of IgG Fc Receptor CD16A and CD64 Expression by Canine Leukocytes and Their ADCC Activity in Engineered NK Cells. Frontiers in Immunology. 13. 841859–841859. 11 indexed citations
3.
Di, Da, et al.. (2022). Challenging Ancient DNA Results About Putative HLA Protection or Susceptibility to Yersinia pestis. Molecular Biology and Evolution. 39(4). 3 indexed citations
5.
Di, Da, José Manuel Nunes, Wei Jiang, & Alicia Sanchez‐Mazas. (2020). Like Wings of a Bird: Functional Divergence and Complementarity between HLA-A and HLA-B Molecules. Molecular Biology and Evolution. 38(4). 1580–1594. 12 indexed citations
6.
Jayaraman, Jyothi, et al.. (2019). qKAT: Quantitative Semi-automated Typing of Killer-cell Immunoglobulin-like Receptor Genes. Journal of Visualized Experiments. 7 indexed citations
7.
Sanchez‐Mazas, Alicia, Viktor Černý, Da Di, et al.. (2017). The HLA‐B landscape of Africa: Signatures of pathogen‐driven selection and molecular identification of candidate alleles to malaria protection. Molecular Ecology. 26(22). 6238–6252. 35 indexed citations
8.
Xu, Jie, et al.. (2016). Nuclear localization of TEF3-1 promotes cell cycle progression and angiogenesis in cancer. Oncotarget. 7(12). 13827–13841. 3 indexed citations
9.
Jiang, Wei, Christopher Johnson, Nikol Simecek, et al.. (2016). qKAT: a high-throughput qPCR method for KIR gene copy number and haplotype determination. Genome Medicine. 8(1). 99–99. 17 indexed citations
10.
Di, Da, Alicia Sanchez‐Mazas, & Mathias Currat. (2015). Computer simulation of human leukocyte antigen genes supports two main routes of colonization by human populations in East Asia. BMC Evolutionary Biology. 15(1). 240–240. 17 indexed citations
11.
Currat, Mathias, Pascale Gerbault, Da Di, José Manuel Nunes, & Alicia Sanchez‐Mazas. (2015). Forward-in-Time, Spatially Explicit Modeling Software to Simulate Genetic Lineages under Selection. Evolutionary Bioinformatics. 11s2(Suppl 2). 27–39. 8 indexed citations
12.
Di, Da & Alicia Sanchez‐Mazas. (2014). HLA variation reveals genetic continuity rather than population group structure in East Asia. Immunogenetics. 66(3). 153–160. 11 indexed citations
13.
Di, Da & Alicia Sanchez‐Mazas. (2011). Challenging views on the peopling history of East Asia: The story according to HLA markers. American Journal of Physical Anthropology. 145(1). 81–96. 28 indexed citations
14.
Sanchez‐Mazas, Alicia, et al.. (2011). A Genetic Focus on the Peopling History of East Asia: Critical Views. Rice. 4(3-4). 159–169. 4 indexed citations
15.
Sanchez‐Mazas, Alicia, Marcelo Fernández-Viña, Derek Middleton, et al.. (2011). Immunogenetics as a tool in anthropological studies. Immunology. 133(2). 143–164. 85 indexed citations
16.

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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