S.-W Ding

571 citations
10 papers · 158 · h-index 7

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • Tuberculosis Research and Epidemiology
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • HIV Research and Treatment 5
    • Immune Cell Function and Interaction 2

S.-W Ding

10 papers receiving 156 citations

Peers

S.-W Ding
Comparison fields: 5 of 32
  • Virology 35
  • Infectious Diseases 83
  • Parasitology 21
  • Epidemiology 66
  • Immunology 42
Replace Samuel D. Stampfer with:
Samuel D. Stampfer United States
Sonya Krishnan United States
Keith Lumbard United States
Frank Olav Pettersen Norway
Mohammad Rezaei Zadeh Rukerd Iran
Ann Ly United States
María Candela Iglesias Mexico
Alfred Lennart Bissinger Germany
Linda Feghoul France
Ushani Rajapaksa Sri Lanka
S.-W Ding relative to Samuel D. Stampfer United States Samuel D. Stampfer's profile →
Citations per field
00.5×1.5×1.9×
Samuel D. Stampfer · 1×
Citations per year

Countries citing papers authored by S.-W Ding

Since Specialization
Citations

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

Fields of papers citing papers by S.-W Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.-W Ding. 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 S.-W Ding. The network helps show where S.-W Ding may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201853
2 201734
3 201419
4 201616
5 202111
6 201910
7 20219
8 20244
9 20231
10 20231

About S.-W Ding

S.-W Ding is a scholar working on Virology, Immunology, Infectious Diseases, Parasitology and Molecular Biology, having authored 10 papers that have together received 158 indexed citations. Recurring topics across this work include HIV Research and Treatment (5 papers), Parasites and Host Interactions (3 papers), Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers), vaccines and immunoinformatics approaches (2 papers), Immune Cell Function and Interaction (2 papers), HIV/AIDS drug development and treatment (1 paper) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Virology (35 citations), Infectious Diseases (83 citations), Parasitology (21 citations), Epidemiology (66 citations) and Immunology (42 citations). S.-W Ding has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Giuseppe Pantaleo, Klaus Reither, Khalid Ohmiti, Matthieu Perreau, Damien Portevin, Claudia Daubenberger, Anneth Tumbo, Omar Lweno, Jerry Hella and Lujeko Kamwela. Their work appears in journals such as Vaccines, Frontiers in Immunology, Journal of Virology, Journal of Clinical Investigation and BMC 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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