Guangling Li

640 citations
55 papers · 489 · h-index 14

Impact in

Papers in

Guangling Li

52 papers receiving 473 citations

Peers

Guangling Li
Comparison fields: 5 of 100
  • Civil and Structural Engineering 81
  • Endocrine and Autonomic Systems 17
  • Animal Science and Zoology 27
  • Aquatic Science 18
  • Software 10
Replace Shuangli Liu with:
Shuangli Liu China
K. Park South Korea
Xingting Liu China
Hongmei Ren China
Sang-Hoon Shin South Korea
Chen Qian China
Philipp Wiedemann Germany
Bram van der Gaag Netherlands
Wenwei Zhang China
Guangling Li relative to Shuangli Liu China Shuangli Liu's profile →
Citations per field
00.5×5×10.1×
Shuangli Liu · 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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201934
2 201932
3 201631
4 202130
5 202126
6 201525
7 202220
8 201920
9 201520
10 202119
11 199718
12 201118
13 202116
14 201515
15 202113
16 202412
17 202112
18 202010
19 202210
20 20119

About Guangling Li

Guangling Li is a scholar working on Molecular Biology, Plant Science, Cancer Research, Cardiology and Cardiovascular Medicine and Pollution, having authored 55 papers that have together received 489 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (6 papers), Pesticide Residue Analysis and Safety (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Weed Control and Herbicide Applications (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Pesticide and Herbicide Environmental Studies (4 papers), Pharmacological Effects and Assays (4 papers) and High Altitude and Hypoxia (3 papers). The work is most often cited by research in Civil and Structural Engineering (81 citations), Endocrine and Autonomic Systems (17 citations), Animal Science and Zoology (27 citations), Aquatic Science (18 citations) and Software (10 citations). Guangling Li has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Yangguang Yuan, Wanshui Han, Bing Tang, Feng He, Haishen Wen, Licai Zhang, Xiaomei Wang, Dongzhi Li, Xiao Chen and Tong Guo. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Biology, Pest Management Science, Fish & Shellfish Immunology and Analytical Letters.

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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