Lei Yan

552 total citations · 1 hit paper
36 papers, 219 citations indexed

About

Lei Yan is a scholar working on Infectious Diseases, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Lei Yan has authored 36 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 10 papers in Economics and Econometrics and 5 papers in General Economics, Econometrics and Finance. Recurrent topics in Lei Yan's work include Market Dynamics and Volatility (10 papers), COVID-19 Clinical Research Studies (9 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Lei Yan is often cited by papers focused on Market Dynamics and Volatility (10 papers), COVID-19 Clinical Research Studies (9 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Lei Yan collaborates with scholars based in United States, China and Australia. Lei Yan's co-authors include Philip Garcia, Kristina L. Bajema, Mihaela Aslan, George N. Ioannou, Denise M. Hynes, Francesca Cunningham, Grant D. Huang, Nallakkandi Rajeevan, Kristin Berry and Yuli Li and has published in prestigious journals such as Annals of Internal Medicine, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Lei Yan

27 papers receiving 214 citations

Hit Papers

Respiratory syncytial virus vaccine effectiveness among U... 2025 2026 2025 4 8 12

Peers

Lei Yan
Comparison fields: 5 of 72
  • Infectious Diseases 104
  • Neurology 55
  • Economics and Econometrics 44
  • Epidemiology 38
  • Clinical Psychology 27
Replace Péter Boldog with:
Péter Boldog Hungary
Yewei Xie China
Yingying Zhu China
Sweta Pandey India
Martin Šmíd Czechia
Zachary H. Strasser United States
Yanis Roussel France
Manu Saraswat Canada
Tanmay Mitra Germany
Lachlan Webb Australia
Péter Boldog Hungary View profile →
Citations per field, relative to Lei Yan
Lei Yan · 1×
Citations per year, relative to Lei Yan
Lei Yan · 1×

Countries citing papers authored by Lei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Yan. A scholar is included among the top collaborators of Lei Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lei Yan. Lei Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 4
3 0
4 1
5
Respiratory syncytial virus vaccine effectiveness among US veterans, September, 2023 to March, 2024: a target trial emulation study breakdown →
13
6 7
7 0
8 1
9 0
10 1
11 3
12 26
13 9
14 63
15 6
16 8
17 2
18 0
19 0
20 3

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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