Karen Wu

1.1k citations
25 papers · 753 indexed · h-index 11

Karen Wu

25 papers receiving 728 citations

Peers

Karen Wu
Comparison fields: 5 of 98
  • Gender Studies 148
  • Radiology, Nuclear Medicine and Imaging 341
  • Health Informatics 14
  • Oncology 124
  • Pulmonary and Respiratory Medicine 131
Replace Cecelia E. Schmalbach with:
Cecelia E. Schmalbach United States
Sean C. Wightman United States
Kathie‐Ann Joseph United States
Taiwo Adesoye United States
Priyanka Jha United States
Jenna M. Kahn United States
Ashley Albert United States
Lindsay M. Kuroki United States
Jozefina Casuscelli Germany
Mudit Chowdhary United States
Karen Wu relative to Cecelia E. Schmalbach United States Cecelia E. Schmalbach's profile →
Citations per field
00.5×3.5×
Cecelia E. Schmalbach · 1×
Citations per year

Countries citing papers authored by Karen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Karen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20232
3 20213
4 202137
5 20215
6
Social Media Utilization Trends in Orthopaedic Surgery Residency Programs During the COVID-19 Pandemic.
202110
7 20202
8 20203
9 20206
10 201910
11 201910
12 201912
13
The Economic Burden of Residency Interviews on Applicants.
201865
14 201510
15 20143
16 20138
17 20112
18 20113
19 201165
20 200913

About Karen Wu

Karen Wu is a scholar working on Gender Studies, Health Informatics and Urology, having authored 25 papers that have together received 753 indexed citations. Recurring topics across this work include Diversity and Career in Medicine (8 papers), Orthopaedic implants and arthroplasty (6 papers), Orthopedic Infections and Treatments (5 papers), Total Knee Arthroplasty Outcomes (5 papers), Medical Education and Admissions (5 papers), Dental Education, Practice, Research (3 papers), Innovations in Medical Education (2 papers) and Urological Disorders and Treatments (2 papers). The work is most often cited by research in Gender Studies (148 citations), Radiology, Nuclear Medicine and Imaging (341 citations) and Health Informatics (14 citations). Karen Wu has collaborated with scholars based in United States, Ireland and China. Frequent co-authors include Michael R. McDevitt, Lawrence Lai, Michael Curcio, Jim Simón, David A. Scheinberg, Dangshe Ma, Matthias Miederer, Paul E. Borchardt, Neil H. Bander and R. Keith Frank. Their work appears in journals such as Hip International, The Journal of Arthroplasty, Urology, Cell Cycle and Journal of surgical education.

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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