Jim S. Wu

4.1k citations
124 papers · 2.7k · h-index 29

Impact in

Papers in

    • Orthopedic Infections and Treatments 11
    • Knee injuries and reconstruction techniques 7
    • Musculoskeletal synovial abnormalities and treatments 16

Jim S. Wu

115 papers receiving 2.6k citations

Peers

Jim S. Wu
Comparison fields: 5 of 142
  • Rheumatology 526
  • Orthopedics and Sports Medicine 287
  • Health Informatics 25
  • Surgery 800
  • Pulmonary and Respiratory Medicine 545
Replace Carmelo Messina with:
Carmelo Messina Italy
Ehud Mendel United States
Jan Borggrefe Germany
Tiffany Ting‐Fang Shih Taiwan
Marcello Henrique Nogueira‐Barbosa Brazil
Mark Lee United States
Salvatore Gitto Italy
Roberto Lagalla Italy
Wolfgang Böcker Germany
Ajay Malhotra United States
Jim S. Wu relative to Carmelo Messina Italy Carmelo Messina's profile →
Citations per field
00.5×2.9×
Carmelo Messina · 1×
Citations per year

Countries citing papers authored by Jim S. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jim S. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995210
2 2009201
3 2008163
4 2009133
5 200980
6 201378
7 200771
8 201066
9 201760
10 201456
11 200653
12 201752
13 201351
14 201749
15 201049
16 201448
17 201546
18 201846
19 201044
20 201443

About Jim S. Wu

Jim S. Wu is a scholar working on Surgery, Rheumatology, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 124 papers that have together received 2.7k indexed citations. Recurring topics across this work include Musculoskeletal synovial abnormalities and treatments (16 papers), Sarcoma Diagnosis and Treatment (15 papers), Muscle activation and electromyography studies (12 papers), Orthopedic Infections and Treatments (11 papers), Sports injuries and prevention (9 papers), Radiology practices and education (8 papers), Network Traffic and Congestion Control (7 papers) and Knee injuries and reconstruction techniques (7 papers). The work is most often cited by research in Rheumatology (526 citations), Orthopedics and Sports Medicine (287 citations), Health Informatics (25 citations), Surgery (800 citations) and Pulmonary and Respiratory Medicine (545 citations). Jim S. Wu has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Mary G. Hochman, Seward B. Rutkove, Basil T. Darras, Ronald L. Eisenberg, Terry L. Orr‐Weaver, Colm J. McMahon, Anne W. Kerrebrock, D. Moore, Jeffrey D. Goldsmith and Craig M. Zaidman. Their work appears in journals such as American Journal of Roentgenology, Skeletal Radiology, Muscle & Nerve, Academic Radiology and Clinical Neurophysiology.

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.

Explore authors with similar magnitude of impact