Guangling Li

612 citations
53 papers · 463 · h-index 14

Impact in

Papers in

Guangling Li

49 papers receiving 444 citations

Peers

Guangling Li
Comparison fields: 5 of 102
  • Civil and Structural Engineering 80
  • Animal Science and Zoology 28
  • Software 10
  • Endocrine and Autonomic Systems 17
  • Aquatic Science 18
Replace Chunqiu Li with:
Chunqiu Li China
Audrey Lee United States
Xuguang Wang China
Yuanlong Hou China
Xingting Liu China
Hongmei Ren China
Yanli Yang China
James R. Florance United States
Hiroyuki Kuwahara Japan
Guangling Li relative to Chunqiu Li China Chunqiu Li's profile →
Citations per field
00.5×
Chunqiu Li · 1×
Citations per year

Countries citing papers authored by Guangling Li

Since Specialization
Citations

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

Fields of papers citing papers by Guangling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201933
2 201931
3 201631
4 202129
5 201525
6 202124
7 201520
8 202219
9 201918
10 199718
11 202118
12 201118
13 202116
14 201515
15 202113
16 202112
17 202210
18 202010
19 20119
20 20249

About Guangling Li

Guangling Li is a scholar working on Molecular Biology, Plant Science, Pollution, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 53 papers that have together received 463 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (6 papers), Pesticide and Herbicide Environmental Studies (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Weed Control and Herbicide Applications (5 papers), Pesticide Residue Analysis and Safety (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cardiac Arrhythmias and Treatments (4 papers) and Pharmacological Effects and Assays (4 papers). The work is most often cited by research in Civil and Structural Engineering (80 citations), Animal Science and Zoology (28 citations), Software (10 citations), Endocrine and Autonomic Systems (17 citations) and Aquatic Science (18 citations). Guangling Li has collaborated with scholars based in China, United Kingdom and New Zealand. Frequent co-authors include Wanshui Han, Yangguang Yuan, Bing Tang, Haishen Wen, Feng He, Licai Zhang, Xiaomei Wang, Tong Guo, Xiao Chen and Meizhao Zhang. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Fish & Shellfish Immunology, Pest Management Science, Analytical Letters and Biology.

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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