Jun Yan

3.5k citations
89 papers · 2.0k · 2 hit papers · h-index 19

Impact in

Papers in

Jun Yan

81 papers receiving 2.0k citations

Jun Yan's Hit Papers

Impact of meteorological factors on the COVID-19 transmission: A multi-city study in China 2020 · 411 citations
4110+2+4Years since publication200400600

Peers

Jun Yan
Comparison fields: 5 of 144
  • Modeling and Simulation 745
  • Health, Toxicology and Mutagenesis 363
  • Global and Planetary Change 551
  • Microbiology 13
  • Economics and Econometrics 456
Replace J. Schubert with:
J. Schubert Poland
Shervin Shokouhi Iran
Phil M. Choi Australia
Jingping Niu China
Andrea N. Edginton Canada
Manas Kanti Deb India
Rod Jones United Kingdom
Jue Tao Lim Singapore
Huahua Liu China
Yuanzhen Zhang China
Jun Yan relative to J. Schubert Poland J. Schubert's profile →
Citations per field
00.5×10×13×
J. Schubert · 1×
Citations per year

Countries citing papers authored by Jun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China
Hit paper breakdown →
2020683
2
Impact of meteorological factors on the COVID-19 transmission: A multi-city study in China
Hit paper breakdown →
2020411
3
[A study on the sero-epidemiology of hepatitis B in Chinese population aged over 3-years old].
200575
4 202066
5 201349
6 201645
7 201644
8 202142
9 201834
10 201428
11 202127
12 201827
13 201525
14 201624
15 201624
16 202123
17 202221
18 202318
19 201118
20 202216

About Jun Yan

Jun Yan is a scholar working on Health, Toxicology and Mutagenesis, Epidemiology, Molecular Biology, Nutrition and Dietetics and Pulmonary and Respiratory Medicine, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (16 papers), Trace Elements in Health (8 papers), Congenital Heart Disease Studies (5 papers), Molecular Sensors and Ion Detection (5 papers), Air Quality and Health Impacts (5 papers), Heavy metals in environment (5 papers), COVID-19 impact on air quality (4 papers) and Pharmaceutical studies and practices (4 papers). The work is most often cited by research in Modeling and Simulation (745 citations), Health, Toxicology and Mutagenesis (363 citations), Global and Planetary Change (551 citations), Microbiology (13 citations) and Economics and Econometrics (456 citations). Jun Yan has collaborated with scholars based in China, United States and France. Frequent co-authors include Jingping Niu, Bin Luo, Ji Zhou, Xiaotao He, Jiangtao Liu, Shihua Fu, Bo Wang, Yueling Ma, Ya-Dong Zhao and Zheng‐yin Yang. Their work appears in journals such as Biological Trace Element Research, The Science of The Total Environment, European Journal of Cardio-Thoracic Surgery, Chemosphere and Tetrahedron Letters.

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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