Jingyun Li

5.3k citations
118 papers · 2.8k indexed · 1 hit paper · h-index 29
Topics
Cancer-related molecular mechanisms research (16 papers)MicroRNA in disease regulation (12 papers)Pregnancy and preeclampsia studies (11 papers)

In The Last Decade

Jingyun Li

117 papers receiving 2.8k citations

Hit Papers

Single-Cell Transcriptome Analysis Maps the Developmental...20192026202120232019100200300

Peers

Jingyun Li
Comparison fields: 5 of 138
  • Molecular Biology 1.6k
  • Cancer Research 644
  • Genetics 345
  • Oncology 242
  • Immunology 227
Replace Xue Li with:
Xue Li China
Marta A. Toscano Argentina
Daniel Muñoz‐Espín Spain
Vanio Mitev Bulgaria
N Simiónescu Romania
Annette Draeger Switzerland
Lin Ye China
Qing Xiao China
Akio Matsuda Japan
Catherine Moali France
Jingyun Li relative to Xue Li China Xue Li's profile →
Citations per field
00.5×3.7×
Xue Li · 1×
Citations per year

Countries citing papers authored by Jingyun Li

Since Specialization
Citations

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

Fields of papers citing papers by Jingyun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyun Li. A scholar is included among the top collaborators of Jingyun Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingyun Li. Jingyun Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 4
4 7
5 6
6 8
7 28
8 3
9 4
10 7
11 26
12 7
13 36
14 133
15 44
16 15
17 32
18
Study of mutation in tomato genomic DNA using low energy ion implantation or soybean DNA by RAPD
1
19 33
20
Partial genome sequence analysis of hepatitis E .virus isolated by cell culture
1

About Jingyun Li

Jingyun Li is a scholar working on Cancer Research, Obstetrics and Gynecology and Dermatology, having authored 118 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (12 papers) and Pregnancy and preeclampsia studies (11 papers). The work is most often cited by research in Cancer Research (644 citations), Medical Laboratory Technology (44 citations) and Molecular Biology (1.6k citations). Jingyun Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fuchou Tang, Lu Wen, Xinglong Wu, Lin Li, Boqiang Hu, Fan Guo, Jun Li, Shuai Gao, Yi Zhou and Ping Zhu. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology 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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