Sam B. Wu

748 citations
21 papers · 611 · h-index 11

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • HIV Research and Treatment 4
    • Cutaneous lymphoproliferative disorders research 2
    • Dermatology and Skin Diseases 1

Sam B. Wu

19 papers receiving 584 citations

Peers

Sam B. Wu
Comparison fields: 5 of 76
  • Virology 202
  • Genetics 78
  • Occupational Therapy 41
  • Dermatology 30
  • Infectious Diseases 51
Replace Saniya Gupta with:
Saniya Gupta India
Karl V. Sitz United States
Hitomi Taguchi Japan
Hee Jin Huh South Korea
Carine Schmitt France
Jeanette M. Higgins United States
Zongxing Yang China
John R. Reed United Kingdom
Anuradha Bishnoi India
Karol Serwin Poland
Sam B. Wu relative to Saniya Gupta India Saniya Gupta's profile →
Citations per field
00.5×5×10×15×20.5×
Saniya Gupta · 1×
Citations per year

Countries citing papers authored by Sam B. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sam B. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010135
2 1998123
3 199071
4 201856
5 200254
6 199941
7 201929
8 201427
9 199518
10 202018
11 202314
12 20196
13 20104
14 20204
15 20204
16 20203
17 20212
18 20211
19
Hair and Nail Conditions: Alopecia Evaluation.
20221
20 20200

About Sam B. Wu

Sam B. Wu is a scholar working on Virology, Dermatology, Physical Therapy, Sports Therapy and Rehabilitation, Cancer Research and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 611 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), Cutaneous lymphoproliferative disorders research (2 papers), Medical Practices and Rehabilitation (2 papers), Nonmelanoma Skin Cancer Studies (2 papers), Dermatology and Skin Diseases (1 paper), Lung Cancer Treatments and Mutations (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Disability Education and Employment (1 paper). The work is most often cited by research in Virology (202 citations), Genetics (78 citations), Occupational Therapy (41 citations), Dermatology (30 citations) and Infectious Diseases (51 citations). Sam B. Wu has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include John Phair, Kevin Kunstman, Steven M. Wolinsky, Adewole S. Adamson, Joan S. Chmiel, Linda Poggensee, Gianni Carraro, David Warburton, Kevin V. Lemley and Roger E. De Filippo. Their work appears in journals such as The Lancet, Dermatologic Surgery, International Journal of Oncology, Journal of Human Kinetics and American Journal of Dermatopathology.

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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