Steven Wu

950 citations
9 papers · 682 · 1 hit paper · h-index 7

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Protein purification and stability 1
    • Molecular spectroscopy and chirality 3
    • Analytical Chemistry and Chromatography 2

Steven Wu

9 papers receiving 675 citations

Hit Papers

Neoantigen vaccine: an emerging tumor immunotherapy 2019 · 524 citations
5240+2+4Years since publication100200300400500

Peers

Steven Wu
Comparison fields: 5 of 68
  • Immunology 382
  • Oncology 286
  • Cancer Research 86
  • Molecular Biology 365
  • Biotechnology 31
Replace William R. Gwin with:
William R. Gwin United States
Jessica Chacon United States
Shuzhen Tan China
Valesca Bukur Germany
Julia Coleman United Kingdom
Brian J. Czerniecki United States
Richard Beatson United Kingdom
Nader El-Sayes Canada
Florian J. Groelly United Kingdom
Mingna Zhang China
Steven Wu relative to William R. Gwin United States William R. Gwin's profile →
Citations per field
00.5×1.5×1.9×
William R. Gwin · 1×
Citations per year

Countries citing papers authored by Steven Wu

Since Specialization
Citations

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

Fields of papers citing papers by Steven Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Neoantigen vaccine: an emerging tumor immunotherapy
Hit paper breakdown →
2019524
2 200746
3 201930
4 200727
5 202125
6 200621
7 20137
8 20241
9 20091

About Steven Wu

Steven Wu is a scholar working on Molecular Biology, Spectroscopy, Biomedical Engineering, Organic Chemistry and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 682 indexed citations. Recurring topics across this work include Molecular spectroscopy and chirality (3 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Analytical Chemistry and Chromatography (2 papers), Electrochemical sensors and biosensors (1 paper), MicroRNA in disease regulation (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Protein purification and stability (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Immunology (382 citations), Oncology (286 citations), Cancer Research (86 citations), Molecular Biology (365 citations) and Biotechnology (31 citations). Steven Wu has collaborated with scholars based in United States and China. Frequent co-authors include Zhaoyang Zeng, Guiyuan Li, Wei Xiong, Can Guo, Yong Li, Xiaoling Li, Peng Miao, Yijie Zhang, Yian Wang and Pan Wu. Their work appears in journals such as Analytica Chimica Acta, Metabolic Engineering, Journal of Biological Chemistry, Molecules and Chirality.

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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