Jun Yan Bai

866 citations
46 papers · 597 · h-index 11

Impact in

Papers in

Jun Yan Bai

40 papers receiving 562 citations

Peers

Jun Yan Bai
Comparison fields: 5 of 81
  • Obstetrics and Gynecology 116
  • Pediatrics, Perinatology and Child Health 153
  • Infectious Diseases 95
  • Medical Terminology 1
  • Epidemiology 86
Replace Neil Moran with:
Neil Moran South Africa
Clement T. Narh Ghana
Nirun Intarut Thailand
Davies Am Israel
Rifat Ashraf Pakistan
Ibrahim Ms Nigeria
John D. Gibbins United States
U Lauper Switzerland
Min Jee Park South Korea
Julianna Schantz-Dunn United States
Jun Yan Bai relative to Neil Moran South Africa Neil Moran's profile →
Citations per field
00.5×4.1×
Neil Moran · 1×
Citations per year

Countries citing papers authored by Jun Yan Bai

Since Specialization
Citations

This map shows the geographic impact of Jun Yan Bai'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 Bai 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 Bai more than expected).

Fields of papers citing papers by Jun Yan Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002268
2 200359
3 200057
4
Treatment of bacillary pulmonary tuberculosis at the chest clinics in the private sector in Korea, 1993.
199926
5 201421
6 201917
7 200015
8 200115
9
Operative laparoscopy versus laparotomy for the management of ectopic pregnancy.
200014
10 201313
11 200810
12 19996
13 20216
14
CXCL12 G801A polymorphism contributes to cancer susceptibility: a meta-analysis.
20126
15
Polymorphism analysis of Chinese Yellow Quail using microsatellite markers.
20135
16 20195
17
Twenty-year trend of chronic excretors of tubercle bacilli based on the nationwide tuberculosis prevalence surveys in Korea, 1975-1995.
20005
18 20145
19 20144
20 20244

About Jun Yan Bai

Jun Yan Bai is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Epidemiology and Infectious Diseases, having authored 46 papers that have together received 597 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (7 papers), Animal Nutrition and Physiology (7 papers), HIV, Drug Use, Sexual Risk (4 papers), Cancer-related molecular mechanisms research (3 papers), Genetic diversity and population structure (3 papers), Tuberculosis Research and Epidemiology (3 papers), Chromosomal and Genetic Variations (3 papers) and Maternal and Perinatal Health Interventions (2 papers). The work is most often cited by research in Obstetrics and Gynecology (116 citations), Pediatrics, Perinatology and Child Health (153 citations), Infectious Diseases (95 citations), Medical Terminology (1 citation) and Epidemiology (86 citations). Jun Yan Bai has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Felix Wong, Adrian Bauman, Mohammed Mohsin, Elizabeth Sullivan, Guy B. Marks, Gregory J. Stewart, Hong Ren, Yong Huang, Seong-Jae Kim and Lina Zhu. Their work appears in journals such as Australian and New Zealand Journal of Obstetrics and Gynaecology, Journal of Biosocial Science, Australian and New Zealand Journal of Public Health, RSC Advances and PLoS ONE.

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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