Tim Xu

29 papers receiving 960 citations

Tim Xu's Hit Papers

Overtreatment in the United States 2017 · 220 citations
2200+3+6Years since publication50100150200

Peers

Tim Xu
Comparison fields: 5 of 122
  • Obstetrics and Gynecology 58
  • Emergency Medicine 68
  • General Health Professions 188
  • Pharmacy 32
  • Microbiology 36
Replace Nida M. Ali with:
Nida M. Ali United States
Alyson J. McGregor United States
Monita Karmakar United States
Fatima Mili United States
Annie Tewel Sadosty United States
Brendan Martin United States
Jannes J E van Everdingen Netherlands
Barbara P. Yawn United States
Alyssa M. Yeager United States
John W. Bachman United States
Tim Xu relative to Nida M. Ali United States Nida M. Ali's profile →
Citations per field
00.5×50×106×
Nida M. Ali · 1×
Citations per year

Countries citing papers authored by Tim Xu

Since Specialization
Citations

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

Fields of papers citing papers by Tim Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Overtreatment in the United States
Hit paper breakdown →
2017220
2 201692
3 201783
4 201877
5 201759
6 201543
7 201441
8 201538
9 201637
10 201734
11 201532
12 201729
13 201628
14 201925
15 201723
16 201719
17 201217
18 201916
19 201913
20 201612

About Tim Xu

Tim Xu is a scholar working on General Health Professions, Economics and Econometrics, Emergency Medicine, Pharmacy and Emergency Medical Services, having authored 30 papers that have together received 993 indexed citations. Recurring topics across this work include Healthcare cost, quality, practices (5 papers), Healthcare Policy and Management (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Patient Safety and Medication Errors (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Trauma and Emergency Care Studies (2 papers), Medical Malpractice and Liability Issues (2 papers) and Obsessive-Compulsive Spectrum Disorders (2 papers). The work is most often cited by research in Obstetrics and Gynecology (58 citations), Emergency Medicine (68 citations), General Health Professions (188 citations), Pharmacy (32 citations) and Microbiology (36 citations). Tim Xu has collaborated with scholars based in United States and Australia. Frequent co-authors include Martin A. Makary, Susan M. Hutfless, Ambar Mehta, Michol A. Cooper, Elizabeth Collens Wick, Shannon Brownlee, Heather G. Lyu, Michael G. Daniel, Daniel J. Brotman and Vikas Saini. Their work appears in journals such as JAMA Internal Medicine, American Journal of Medical Quality, Annals of Emergency Medicine, BMJ Quality & Safety and JAMA Dermatology.

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