John C. Wu

668 citations
24 papers · 460 · h-index 10

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • PARP inhibition in cancer therapy
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Shoulder Injury and Treatment 4
    • Orthopedic Surgery and Rehabilitation 3
    • Cancer Immunotherapy and Biomarkers 3
    • PARP inhibition in cancer therapy 2

John C. Wu

23 papers receiving 451 citations

Peers

John C. Wu
Comparison fields: 5 of 55
  • Oncology 185
  • Hepatology 70
  • Surgery 112
  • Gastroenterology 13
  • Orthopedics and Sports Medicine 14
Replace Hye Jin Kim with:
Hye Jin Kim South Korea
Jen-I Hwang Taiwan
Jason W. Pinchot United States
Yoshiki Senda Japan
Brett S. Walker United States
Joris Jaekers Belgium
Marianna Maspero Italy
Yoichiro Suetomi Japan
Noriyuki Nishino Japan
Toshifumi Kasugai Japan
John C. Wu relative to Hye Jin Kim South Korea Hye Jin Kim's profile →
Citations per field
00.5×2×3×3.5×
Hye Jin Kim · 1×
Citations per year

Countries citing papers authored by John C. Wu

Since Specialization
Citations

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

Fields of papers citing papers by John C. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020119
2 2019102
3 202255
4 201928
5 201926
6 201621
7 202118
8 202315
9 201912
10 202311
11 201910
12 20219
13
Acute fatty liver of pregnancy: diagnosis and management of 8 cases.
20006
14 20236
15 20215
16 20214
17 20233
18 20182
19 20192
20 20232

About John C. Wu

John C. Wu is a scholar working on Surgery, Oncology, Hepatology, Epidemiology and Rehabilitation, having authored 24 papers that have together received 460 indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Orthopedic Surgery and Rehabilitation (3 papers), Bone fractures and treatments (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), PARP inhibition in cancer therapy (2 papers), Pregnancy and preeclampsia studies (1 paper) and Digital Imaging in Medicine (1 paper). The work is most often cited by research in Oncology (185 citations), Hepatology (70 citations), Surgery (112 citations), Gastroenterology (13 citations) and Orthopedics and Sports Medicine (14 citations). John C. Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Tarek M. Meniawy, Ben Markman, Bo Gao, Linda Mileshkin, Michael Leonard Friedlander, Paul R. Harnett, Song Mu, Michael Millward, Joanne Lundy and Alison E. Freimund. Their work appears in journals such as Orthopedic Clinics of North America, British Journal of Cancer, The Journal Of Hand Surgery, JBJS Open Access and The Lancet Oncology.

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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