Diego G. Silva

1.6k citations
22 papers · 1.3k indexed · h-index 15

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Cancer-related molecular mechanisms research

Papers in

    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 6
    • Immunotherapy and Immune Responses 2
    • Diabetes and associated disorders 7

Diego G. Silva

22 papers receiving 1.3k citations

Peers

Diego G. Silva
Comparison fields: 5 of 89
  • Immunology 677
  • Cancer Research 158
  • Genetics 198
  • Molecular Biology 485
  • Rheumatology 89
Replace Shrimati Datta with:
Shrimati Datta United States
Marynette Rihanek United States
Catherine Yin United States
Masahiro Uehira Japan
A-C Syvänen Sweden
Garvin L. Warner United States
Emma M. Carrington Australia
Stuart A. Berger Canada
Jutta Braunstein Germany
Miho Shiokawa Japan
Diego G. Silva relative to Shrimati Datta United States Shrimati Datta's profile →
Citations per field
00.5×2.9×
Shrimati Datta · 1×
Citations per year

Countries citing papers authored by Diego G. Silva

Since Specialization
Citations

This map shows the geographic impact of Diego G. Silva'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 Diego G. Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego G. Silva more than expected).

Fields of papers citing papers by Diego G. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego G. Silva. 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 Diego G. Silva. The network helps show where Diego G. Silva may publish in the future.

Co-authors

The 25 scholars most cited alongside Diego G. Silva, 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 Diego G. Silva Line = papers co-authored together Diego G. Silva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201313
2 2013117
3 2012201
4 201230
5 201155
6 2007336
7 200748
8 200637
9 2006131
10 200595
11 20044
12 20045
13 200324
14 20033
15 200314
16 20035
17 200324
18 20035
19 20032
20 200237

About Diego G. Silva

Diego G. Silva is a scholar working on Immunology, Genetics, Biochemistry, Gastroenterology and Clinical Biochemistry, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes and associated disorders (7 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers), Pancreatic function and diabetes (4 papers), Biomedical Text Mining and Ontologies (2 papers), Bioinformatics and Genomic Networks (2 papers), Immunotherapy and Immune Responses (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Immunology (677 citations), Cancer Research (158 citations), Genetics (198 citations), Molecular Biology (485 citations) and Rheumatology (89 citations). Diego G. Silva has collaborated with scholars based in Australia, Singapore and Japan. Frequent co-authors include Carola G. Vinuesa, Nikolai Petrovsky, Christopher C. Goodnow, Xin Hu, Di Yu, Vicki Athanasopoulos, Kong‐Peng Lam, Peter D. Cooper, Pheh-Ping Chang and Alvin Pratama. Their work appears in journals such as Annals of the New York Academy of Sciences, The Journal of Immunology, Genome Research, Immunology and Cell Biology and Immunity.

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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