Leni Kang

1.5k citations
43 papers · 922 · h-index 16

Impact in

Papers in

Leni Kang

41 papers receiving 904 citations

Peers

Leni Kang
Comparison fields: 5 of 92
  • Obstetrics and Gynecology 142
  • Epidemiology 355
  • Pediatrics, Perinatology and Child Health 134
  • Microbiology 35
  • Health, Toxicology and Mutagenesis 51
Replace Haiping Shen with:
Haiping Shen China
Joseph Chu United States
Hemantha Senanayake Sri Lanka
Emily A. Oliver United States
Miriam Cremer United States
Gengli Zhao China
Manas Pratim Roy India
Bianca Masturzo Italy
Alireza Mosavi-Jarrahi Iran
Jarosław Kalinka Poland
Leni Kang relative to Haiping Shen China Haiping Shen's profile →
Citations per field
00.5×1.5×2.3×
Haiping Shen · 1×
Citations per year

Countries citing papers authored by Leni Kang

Since Specialization
Citations

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

Fields of papers citing papers by Leni Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Leni Kang, 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 Leni Kang Line = papers co-authored together Leni Kang 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 2018142
2 2016135
3
Review of the cervical cancer disease burden in mainland China.
201183
4 201374
5 202141
6 201437
7 201536
8 201534
9 201825
10 201524
11 201824
12 201822
13 201621
14 201619
15 201617
16 202115
17 201415
18 202014
19 201813
20 202013

About Leni Kang

Leni Kang is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Surgery and Public Health, Environmental and Occupational Health, having authored 43 papers that have together received 922 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (17 papers), Global Maternal and Child Health (5 papers), Injury Epidemiology and Prevention (4 papers), Genital Health and Disease (3 papers), Maternal and Perinatal Health Interventions (3 papers), Gestational Diabetes Research and Management (1 paper), Hepatitis B Virus Studies (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Obstetrics and Gynecology (142 citations), Epidemiology (355 citations), Pediatrics, Perinatology and Child Health (134 citations), Microbiology (35 citations) and Health, Toxicology and Mutagenesis (51 citations). Leni Kang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include You‐Lin Qiao, Jun Zhu, Xiaohong Li, Jing Li, Juan Liang, Lei Miao, Wen Chen, Chunhua He, Sufang Guo and Robert Scherpbier. Their work appears in journals such as BMC Public Health, PLoS ONE, Cancer Epidemiology Biomarkers & Prevention, BMC Pediatrics and International Journal of Cancer.

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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