Sidney Wang

418 citations
4 papers · 253 · 1 hit paper · h-index 2

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • CAR-T cell therapy research 2
    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 1
    • Immune Cell Function and Interaction 1

Sidney Wang

4 papers receiving 249 citations

Sidney Wang's Hit Papers

SARS-CoV-2 mRNA Vaccines Foster Potent Antigen-Specific Germinal Center Responses Associated with Neutralizing Antibody Generation 2020 · 240 citations
2400+2+4Years since publication50100150200

Peers

Sidney Wang
Comparison fields: 5 of 42
  • Infectious Diseases 157
  • Immunology 101
  • Animal Science and Zoology 26
  • Virology 9
  • Molecular Biology 87
Replace Katlyn Lederer with:
Katlyn Lederer United States
Alex Farina Switzerland
Yu-Hsin Wan United States
Elli Rosenberg Israel
Dennis Lapuente Germany
Ludivine Grzelak France
Matthew D. Slein United States
Matteo Pagliari Italy
Lutz Gieselmann Germany
Chengzi I. Kaku United States
Sidney Wang relative to Katlyn Lederer United States Katlyn Lederer's profile →
Citations per field
00.5×1.5×
Katlyn Lederer · 1×
Citations per year

Countries citing papers authored by Sidney Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sidney Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sidney Wang. 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 Sidney Wang. The network helps show where Sidney Wang may publish in the future.

Co-authors

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

All Works

4 of 4 papers shown

About Sidney Wang

Sidney Wang is a scholar working on Oncology, Immunology, Infectious Diseases, Molecular Biology and Animal Science and Zoology, having authored 4 papers that have together received 253 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (2 papers), CAR-T cell therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), T-cell and B-cell Immunology (1 paper), Immune Cell Function and Interaction (1 paper), CRISPR and Genetic Engineering (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Infectious Diseases (157 citations), Immunology (101 citations), Animal Science and Zoology (26 citations), Virology (9 citations) and Molecular Biology (87 citations). Sidney Wang has collaborated with scholars based in United States, Colombia and France. Frequent co-authors include Diana Castaño, Michela Locci, Ying K. Tam, Tomaz B. Manzoni, Patrick Cherubin, Kendall A. Lundgreen, Steven H.Y. Fan, Fatima Amanat, Drew Weissman and Thomas H. Oguin. Their work appears in journals such as Blood, Immunity, Science Immunology and Cancer Research.

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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