Junnan Li

1.8k citations
77 papers · 1.3k · h-index 20

Impact in

Papers in

Junnan Li

71 papers receiving 1.3k citations

Peers

Junnan Li
Comparison fields: 5 of 99
  • Cancer Research 220
  • Obstetrics and Gynecology 100
  • Hepatology 74
  • Health, Toxicology and Mutagenesis 137
  • Epidemiology 241
Replace Natalia Mendelev with:
Natalia Mendelev United States
Hongyan Dong China
Hui Shen China
Jiang Tian United States
Karni S. Moshal United States
Isabelle Rubera France
Jennifer L. Gooch United States
Ying Xu China
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John T. Heiker Germany
Junnan Li relative to Natalia Mendelev United States Natalia Mendelev's profile →
Citations per field
00.5×10×13×
Natalia Mendelev · 1×
Citations per year

Countries citing papers authored by Junnan Li

Since Specialization
Citations

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

Fields of papers citing papers by Junnan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018261
2 2014143
3 201782
4 200870
5 201767
6 202265
7 201445
8 201941
9 201641
10 201938
11 201329
12 201929
13 201227
14 202027
15 200825
16 202325
17 201624
18 201822
19 202221
20 202221

About Junnan Li

Junnan Li is a scholar working on Epidemiology, Molecular Biology, Surgery, Pediatrics, Perinatology and Child Health and Oncology, having authored 77 papers that have together received 1.3k indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (5 papers), Hepatitis B Virus Studies (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Hepatitis C virus research (4 papers), Pain Mechanisms and Treatments (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Acute Myeloid Leukemia Research (3 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Cancer Research (220 citations), Obstetrics and Gynecology (100 citations), Hepatology (74 citations), Health, Toxicology and Mutagenesis (137 citations) and Epidemiology (241 citations). Junnan Li has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Linjing Feng, Yang Yu, Hang Fai Kwok, Ming Zhang, Li Chen, Hongwei Du, Grant M. Hatch, Shengnan Wei, Lipeng Zhu and Patrick L. Sheets. Their work appears in journals such as International Journal of Biological Sciences, International Journal of Gynecological Cancer, International Immunopharmacology, Journal of Pain and Infection and Drug Resistance.

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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