Stephen Wu

735 citations
10 papers · 482 indexed · h-index 8

Impact in

Papers in

    • Platelet Disorders and Treatments 6
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3
Journals
Blood (7 papers)Science Advances (1 paper)Journal of Cell Science (1 paper)Cell adhesion and communications/Cell adhesion and communication/Cell adhesion & communication (1 paper)

In The Last Decade

Stephen Wu

9 papers receiving 477 citations

Peers

Stephen Wu
Comparison fields: 5 of 69
  • Hematology 270
  • Immunology and Allergy 68
  • Genetics 57
  • Cell Biology 66
  • Internal Medicine 13
Replace Luigi De Marco with:
Luigi De Marco Italy
Nobuyasu Takahashi Japan
Nel R. Blom Netherlands
Kate L. Lowe United Kingdom
Mike Keeney Canada
Floortje L. Kessler Netherlands
R. Martijn van der Plas Netherlands
K S Song South Korea
Gabrilove Jl United States
Tanja Vajen Netherlands
Stephen Wu relative to Luigi De Marco Italy Luigi De Marco's profile →
Citations per field
00.5×
Luigi De Marco · 1×
Citations per year

Countries citing papers authored by Stephen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1 202130
2 201755
3 201631
4 20151
5 201578
6 201475
7 20140
8 2014147
9 199811
10 199454

About Stephen Wu

Stephen Wu is a scholar working on Hematology, Genetics, Biophysics, Immunology and Allergy and Cell Biology, having authored 10 papers that have together received 482 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Cellular Mechanics and Interactions (2 papers), RNA modifications and cancer (1 paper), Skin and Cellular Biology Research (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Hematology (270 citations), Immunology and Allergy (68 citations), Genetics (57 citations), Cell Biology (66 citations) and Internal Medicine (13 citations). Stephen Wu has collaborated with scholars based in United States, Canada and Lithuania. Frequent co-authors include Kellie R. Machlus, Joseph E. Italiano, Linas Mažutis, Allen J. Ehrlicher, Jonathan N. Thon, Aydın Tözeren, Martha Sola‐Visner, Stephen W. Byers, Keith B. Neeves and Robert Lanza. Their work appears in journals such as Blood, Science Advances, Journal of Cell Science and Cell adhesion and communications/Cell adhesion and communication/Cell adhesion & communication.

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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