Qun Li

2.8k total citations
66 papers, 1.8k citations indexed

About

Qun Li is a scholar working on Molecular Biology, Reproductive Medicine and Infectious Diseases. According to data from OpenAlex, Qun Li has authored 66 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 12 papers in Reproductive Medicine and 11 papers in Infectious Diseases. Recurrent topics in Qun Li's work include Plant Reproductive Biology (8 papers), Hypothalamic control of reproductive hormones (8 papers) and RNA modifications and cancer (6 papers). Qun Li is often cited by papers focused on Plant Reproductive Biology (8 papers), Hypothalamic control of reproductive hormones (8 papers) and RNA modifications and cancer (6 papers). Qun Li collaborates with scholars based in China, United States and Australia. Qun Li's co-authors include Iain J. Clarke, J. T. Smith, Robert P. Millar, Gui‐Dong Zhu, Subrata Sen, Masaaki Tatsuka, Hiroshi Katayama, Hongyi Zhou, Antonia K. Roseweir and Muhammad Shahab and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Qun Li

62 papers receiving 1.8k citations

Peers

Qun Li
Comparison fields: 5 of 115
  • Molecular Biology 892
  • Reproductive Medicine 637
  • Genetics 268
  • Endocrine and Autonomic Systems 184
  • Cell Biology 169
Replace Daniel Hicks with:
Daniel Hicks United Kingdom
Nathalie Jouy France
Zhengxing Lian China
Maria Elena Dell’Aquila Italy
Walter Sierralta Chile
Aihua Wang China
Sonia Métayer France
Susan H. Hall United States
Laurie A. Jaeger United States
Sonja Grunewald Germany
Daniel Hicks United Kingdom View profile →
Citations per field, relative to Qun Li
Qun Li · 1×
Citations per year, relative to Qun Li
Qun Li · 1×

Countries citing papers authored by Qun Li

Since Specialization
Citations

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

Fields of papers citing papers by Qun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Qun Li. A scholar is included among the top collaborators of Qun 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 Qun Li. Qun 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
# Work Indexed citations
1 4
2 21
3 3
4 11
5 6
6
Drug Resistance to HIV-1 Integrase Inhibitors Among Treatment-Naive Patients in Beijing, China
15
7 5
8 2
9 5
10 2
11 9
12 12
13 20
14 9
15 5
16 5
17 52
18 8
19 89
20 14

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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