Runan Li

1.0k citations
41 papers · 797 · h-index 17

Impact in

    • Insect and Pesticide Research
  • Pollution top 5%
    • Pesticide and Herbicide Environmental Studies
    • Pharmaceutical and Antibiotic Environmental Impacts

Papers in

Runan Li

40 papers receiving 790 citations

Peers

Runan Li
Comparison fields: 5 of 91
  • Insect Science 253
  • Pollution 194
  • Food Science 230
  • Spectroscopy 134
  • Ecology, Evolution, Behavior and Systematics 132
Replace Marc Tienstra with:
Marc Tienstra Netherlands
Zhaoxian Zhang China
Michel Treilhou France
Mária Mörtl Hungary
Huihua Tan China
Gaëlle Danièle France
Jeong‐In Hwang South Korea
J. Rouchaud Belgium
K. M. S. Sundaram Canada
Svetlana Bondarenko United States
Runan Li relative to Marc Tienstra Netherlands Marc Tienstra's profile →
Citations per field
00.5×1.6×
Marc Tienstra · 1×
Citations per year

Countries citing papers authored by Runan Li

Since Specialization
Citations

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

Fields of papers citing papers by Runan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201974
2 201966
3 201960
4 201948
5 202239
6 202139
7 202337
8 201933
9 201932
10 201728
11 202126
12 202025
13 201924
14 202223
15 201822
16 202419
17 202417
18 202415
19 202015
20 202215

About Runan Li

Runan Li is a scholar working on Food Science, Spectroscopy, Insect Science, Plant Science and Pollution, having authored 41 papers that have together received 797 indexed citations. Recurring topics across this work include Pesticide Residue Analysis and Safety (18 papers), Insect and Pesticide Research (12 papers), Analytical Chemistry and Chromatography (8 papers), Pesticide and Herbicide Environmental Studies (7 papers), Pesticide Exposure and Toxicity (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Analytical chemistry methods development (3 papers) and Supramolecular Chemistry and Complexes (3 papers). The work is most often cited by research in Insect Science (253 citations), Pollution (194 citations), Food Science (230 citations), Spectroscopy (134 citations) and Ecology, Evolution, Behavior and Systematics (132 citations). Runan Li has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Fengshou Dong, Yongquan Zheng, Xiaohu Wu, Jun Xu, Xinglu Pan, Xingang Liu, Yan Tao, Zenglong Chen, Qianyu Liu and Min He. Their work appears in journals such as Food Chemistry, The Science of The Total Environment, Journal of Agricultural and Food Chemistry, Environmental Science & Technology and Journal of the Science of Food and Agriculture.

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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