De‐Kun Li

105 papers receiving 4.3k citations

Peers

De‐Kun Li
Comparison fields: 5 of 157
  • Health, Toxicology and Mutagenesis 1.3k
  • Public Health, Environmental and Occupational Health 895
  • Pediatrics, Perinatology and Child Health 583
  • Biophysics 192
  • Obstetrics and Gynecology 222
Replace Laura Fenster with:
Laura Fenster United States
Seppo Saarikoski Finland
Tingting Wang China
Richard L. Auten United States
Sin Eng Chia Singapore
Donald F. Austin United States
Wojciech Sobala Poland
H. Marike Boezen Netherlands
Hongmei Zhang United States
Ruby H.N. Nguyen United States
De‐Kun Li relative to Laura Fenster United States Laura Fenster's profile →
Citations per field
00.5×3.9×
Laura Fenster · 1×
Citations per year

Countries citing papers authored by De‐Kun Li

Since Specialization
Citations

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

Fields of papers citing papers by De‐Kun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De‐Kun Li. 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 De‐Kun Li. The network helps show where De‐Kun Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010308
2 2007262
3 1998248
4 2012203
5 2008173
6 2000165
7 2002148
8 2011125
9 2013124
10 2012107
11 2011100
12 201891
13 201087
14 200581
15 201870
16 201368
17 201668
18 200967
19 201565
20 201263

About De‐Kun Li

De‐Kun Li is a scholar working on Health, Toxicology and Mutagenesis, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Epidemiology and Biophysics, having authored 109 papers that have together received 4.5k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (19 papers), Pregnancy and Medication Impact (10 papers), Electromagnetic Fields and Biological Effects (8 papers), Birth, Development, and Health (8 papers), Maternal Mental Health During Pregnancy and Postpartum (7 papers), Neuroscience of respiration and sleep (6 papers), Prenatal Substance Exposure Effects (5 papers) and Influenza Virus Research Studies (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.3k citations), Public Health, Environmental and Occupational Health (895 citations), Pediatrics, Perinatology and Child Health (583 citations), Biophysics (192 citations) and Obstetrics and Gynecology (222 citations). De‐Kun Li has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Wei Yuan, Maohua Miao, Roxana Odouli, Lyndsay A. Avalos, Zhijun Zhou, Ersheng Gao, Jeannette Ferber, Seunghwan Wi, Xiaoping Weng and Claudia M. Galindo. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Obstetrical & Gynecological Survey, Epidemiology, Pharmacoepidemiology and Drug Safety and Paediatric and Perinatal Epidemiology.

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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