Jun Yan

3.4k citations
90 papers · 1.9k indexed · 2 hit papers · h-index 17

Impact in

Papers in

Jun Yan

81 papers receiving 1.9k citations

Hit Papers

Impact of meteorological factors on the COVID-19 transmission: A multi-city study in China 2020 · 405 citations
4050+2+4Years since publication200400600

Peers

Jun Yan
Comparison fields: 5 of 150
  • Modeling and Simulation 783
  • Health, Toxicology and Mutagenesis 390
  • Global and Planetary Change 586
  • Economics and Econometrics 498
  • Microbiology 9
Replace J. Schubert with:
J. Schubert Poland
Phil M. Choi Australia
Andrea N. Edginton Canada
Jingping Niu China
Rod Jones United Kingdom
Chandrakant S Pandav India
Xiaowei Ren China
Mohammad Shahidul Islam Bangladesh
Manas Kanti Deb India
Huahua Liu China
Jun Yan relative to J. Schubert Poland J. Schubert's profile →
Citations per field
00.5×
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 90 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 →
2020659
2
Impact of meteorological factors on the COVID-19 transmission: A multi-city study in China
Hit paper breakdown →
2020405
3
[A study on the sero-epidemiology of hepatitis B in Chinese population aged over 3-years old].
200575
4 202065
5 201348
6 201644
7 201643
8 202141
9 201833
10 201427
11 201827
12 202125
13 201624
14 201624
15 201524
16 202122
17 202218
18 202316
19 201115
20 202215

About Jun Yan

Jun Yan is a scholar working on Epidemiology, Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine, Molecular Biology and Nutrition and Dietetics, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (16 papers), Congenital Heart Disease Studies (11 papers), Trace Elements in Health (9 papers), Air Quality and Health Impacts (6 papers), Heavy metals in environment (5 papers), Coronary Artery Anomalies (5 papers), Cardiovascular Issues in Pregnancy (5 papers) and Molecular Sensors and Ion Detection (5 papers). The work is most often cited by research in Modeling and Simulation (783 citations), Health, Toxicology and Mutagenesis (390 citations), Global and Planetary Change (586 citations), Economics and Econometrics (498 citations) and Microbiology (9 citations). Jun Yan has collaborated with scholars based in China, United States and France. Frequent co-authors include Jingping Niu, Bin Luo, Shihua Fu, Ji Zhou, Xiaotao He, Jiangtao Liu, Yueling Ma, Ya-Dong Zhao, Bo Wang and Zheng‐yin Yang. Their work appears in journals such as Biological Trace Element Research, The Science of The Total Environment, Chemosphere, Toxicology Letters 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.

Explore authors with similar magnitude of impact