Su Wang

1.4k citations
11 papers · 818 · h-index 8

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Mast cells and histamine
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Aquaculture disease management and microbiota 3
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 1

Su Wang

10 papers receiving 780 citations

Peers

Su Wang
Comparison fields: 5 of 90
  • Immunology 445
  • Genetics 127
  • Hematology 104
  • Immunology and Allergy 32
  • Virology 25
Replace Nilushi S. De Silva with:
Nilushi S. De Silva United States
Ahmad Faili France
Robert Wadley Australia
Kristen L. Hoek United States
Simon D. van Haren United States
Patricia K. A. Mongini United States
L Gemmell United States
Adnan Malik United Kingdom
Yuya Nagai Japan
Farah Hatam United States
Su Wang relative to Nilushi S. De Silva United States Nilushi S. De Silva's profile →
Citations per field
00.5×2.5×
Nilushi S. De Silva · 1×
Citations per year

Countries citing papers authored by Su Wang

Since Specialization
Citations

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

Fields of papers citing papers by Su Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2006419
2 1997238
3 200770
4 201820
5 201919
6 201819
7 201316
8 20199
9 20237
10 20241
11 20240

About Su Wang

Su Wang is a scholar working on Immunology, Genetics, Cell Biology, Surgery and Molecular Biology, having authored 11 papers that have together received 818 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (3 papers), Zebrafish Biomedical Research Applications (2 papers), Apelin-related biomedical research (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Medicinal Plants and Bioactive Compounds (1 paper), Hydrogen's biological and therapeutic effects (1 paper) and Advanced Causal Inference Techniques (1 paper). The work is most often cited by research in Immunology (445 citations), Genetics (127 citations), Hematology (104 citations), Immunology and Allergy (32 citations) and Virology (25 citations). Su Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michael J. Caulfield, John Donnelly, Tong‐Ming Fu, R. Randall Deck, Xu Liu, Arthur Friedman, Margaret A. Liu, Hans Wigzell, Jeffrey B. Ulmer and Elliott B. Grossbard. Their work appears in journals such as Fish & Shellfish Immunology, Therapeutic Innovation & Regulatory Science, PLoS ONE, Human Vaccines and Molecular Medicine.

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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