Stan Xu

1.9k citations
29 papers · 1.5k · 1 hit paper · h-index 16

Impact in

Papers in

Stan Xu

29 papers receiving 1.5k citations

Stan Xu's Hit Papers

Surveillance for Adverse Events After COVID-19 mRNA Vaccination 2021 · 497 citations
4970+1+3Years since publication100200300400

Peers

Stan Xu
Comparison fields: 5 of 101
  • Family Practice 59
  • Health 216
  • Infectious Diseases 334
  • Toxicology 32
  • Neurology 111
Replace Rommel Ravanan with:
Rommel Ravanan United Kingdom
Mustapha O. Saheed United States
Anthony Andrew Donato United States
Jeffrey Vietri United States
Muhammad Sohaib Asghar Pakistan
Janette Kwok SY China
Cheryl N. McMahill‐Walraven United States
Kathleen M. Akgün United States
Samuel Anu Olowookere Nigeria
Greer Burkholder United States
Stan Xu relative to Rommel Ravanan United Kingdom Rommel Ravanan's profile →
Citations per field
00.5×2×4×6.4×
Rommel Ravanan · 1×
Citations per year

Countries citing papers authored by Stan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Stan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Surveillance for Adverse Events After COVID-19 mRNA Vaccination
Hit paper breakdown →
2021497
2 2013140
3 2022116
4 2011101
5 200876
6 201972
7 200872
8 201365
9 202043
10 201242
11 201441
12 201738
13 201926
14 200722
15 201420
16 200920
17 201616
18 202215
19 201113
20 201012

About Stan Xu

Stan Xu is a scholar working on Health, Psychiatry and Mental health, Emergency Medical Services, Public Health, Environmental and Occupational Health and Family Practice, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (3 papers), Vaccine Coverage and Hesitancy (2 papers), Healthcare Operations and Scheduling Optimization (2 papers), Influenza Virus Research Studies (2 papers), Health disparities and outcomes (2 papers), Mental Health Treatment and Access (2 papers), Schizophrenia research and treatment (2 papers) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Family Practice (59 citations), Health (216 citations), Infectious Diseases (334 citations), Toxicology (32 citations) and Neurology (111 citations). Stan Xu has collaborated with scholars based in United States, Taiwan and Uganda. Frequent co-authors include Jason M. Glanz, Simon J. Hambidge, Eric Weintraub, Jennifer C. Nelson, James G. Donahue, BRUCE H. FIREMAN, Susan M. Shetterly, Nicola P. Klein, Allison L. Naleway and Ned Lewis. Their work appears in journals such as PEDIATRICS, JAMA Network Open, Psychiatric Services, Medical Care and American Journal of Preventive Medicine.

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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