Sitong Luo

872 citations
43 papers · 385 · h-index 11

Impact in

  • Health top 5%
    • Vaccine Coverage and Hesitancy
  • Virology top 10%
    • Poxvirus research and outbreaks

Papers in

Sitong Luo

39 papers receiving 381 citations

Peers

Sitong Luo
Comparison fields: 5 of 69
  • Health 142
  • Virology 52
  • Modeling and Simulation 38
  • Infectious Diseases 95
  • Neuropsychology and Physiological Psychology 4
Replace Mark Donald C. Reñosa with:
Mark Donald C. Reñosa Philippines
Charlie Turner United States
Catherine Maulsby United States
Odile Launay France
Yasir Ahmed Mohammed Elhadi Sudan
Dylan Felt United States
Sean J. Lawrence United States
Tian Hu China
Katrine Bach Habersaat Denmark
Huda Eid Jordan
Sitong Luo relative to Mark Donald C. Reñosa Philippines Mark Donald C. Reñosa's profile →
Citations per field
00.5×4.7×
Mark Donald C. Reñosa · 1×
Citations per year

Countries citing papers authored by Sitong Luo

Since Specialization
Citations

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

Fields of papers citing papers by Sitong Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202181
2 202132
3 201525
4 202124
5 202122
6 202318
7 202214
8 201613
9 202112
10 202211
11 202011
12 20179
13 20238
14 20178
15 20188
16 20248
17 20237
18 20217
19 20187
20 20197

About Sitong Luo

Sitong Luo is a scholar working on Infectious Diseases, Health, Virology, Sociology and Political Science and Epidemiology, having authored 43 papers that have together received 385 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (9 papers), Vaccine Coverage and Hesitancy (9 papers), Poxvirus research and outbreaks (7 papers), Misinformation and Its Impacts (5 papers), COVID-19 Pandemic Impacts (4 papers), HIV Research and Treatment (4 papers), HIV, Drug Use, Sexual Risk (4 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Health (142 citations), Virology (52 citations), Modeling and Simulation (38 citations), Infectious Diseases (95 citations) and Neuropsychology and Physiological Psychology (4 citations). Sitong Luo has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Joseph T. F. Lau, Liping Li, Lijuan Li, Suhua Wang, Junfeng Zhao, Guohua Zhang, Phoenix K. H. Mo, Luyao Xie, Chunqing Lin and Zunyou Wu. Their work appears in journals such as AIDS and Behavior, Vaccines, Frontiers in Public Health, Journal of Affective Disorders and Journal of Medical Virology.

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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