David Da Silva

572 citations
25 papers · 434 · h-index 11

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

    • Biochemical and Molecular Research 3
    • Glycosylation and Glycoproteins Research 2
    • Advanced Proteomics Techniques and Applications 3

David Da Silva

25 papers receiving 420 citations

Peers

David Da Silva
Comparison fields: 5 of 92
  • Virology 41
  • Infectious Diseases 125
  • Building and Construction 39
  • Emergency Medicine 17
  • Spectroscopy 32
Replace Valentina Spada with:
Valentina Spada Italy
Yuwei Zhang China
Matthew M. Cousins United States
Estelle Chaix France
Eutímio Gustavo Fernández Núñez Brazil
Won Choi South Korea
Christina Pehrson Sweden
Xinxin Tong China
Rana El Hajj Lebanon
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Citations per field
00.5×4.3×
Valentina Spada · 1×
Citations per year

Countries citing papers authored by David Da Silva

Since Specialization
Citations

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

Fields of papers citing papers by David Da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201387
2 201150
3 200748
4 202041
5 201232
6 201028
7 201822
8 201820
9 202215
10 201714
11 201812
12 20209
13 20198
14 20187
15 20147
16 20206
17 20166
18 20226
19 20115
20 20205

About David Da Silva

David Da Silva is a scholar working on Molecular Biology, Spectroscopy, Infectious Diseases, Building and Construction and Pharmacology, having authored 25 papers that have together received 434 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Building Energy and Comfort Optimization (3 papers), Biochemical and Molecular Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Fatigue and fracture mechanics (2 papers), Mechanical Behavior of Composites (2 papers), HIV/AIDS drug development and treatment (2 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Virology (41 citations), Infectious Diseases (125 citations), Building and Construction (39 citations), Emergency Medicine (17 citations) and Spectroscopy (32 citations). David Da Silva has collaborated with scholars based in France, Guinea-Bissau and Denmark. Frequent co-authors include Theodore M. DeJong, Cándida Medina, Alex Lund Laursen, Christian Wejse, Benoı̂t Maunit, Alain Pruvost, Jacques Grassi, Henri Bénech, Lars Østergaard and Zacarias José da Silva. Their work appears in journals such as Energy and Buildings, BMJ Open, Rapid Communications in Mass Spectrometry, Talanta and Analytical and Bioanalytical Chemistry.

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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