Guiping Li

667 citations
56 papers · 496 · h-index 13

Impact in

Papers in

Guiping Li

51 papers receiving 487 citations

Peers

Guiping Li
Comparison fields: 5 of 81
  • Nephrology 51
  • Complementary and alternative medicine 38
  • Radiology, Nuclear Medicine and Imaging 58
  • Endocrinology, Diabetes and Metabolism 41
  • Hepatology 16
Replace Manman Li with:
Manman Li China
Soo Young Moon South Korea
Emily Wang United States
Zhiwu Hong China
William M. Bennett United States
Asmaa M. A. Bayoumi Egypt
Zhao Hu China
Asuman Gedikbaşı Türkiye
Yao Xu China
Tawee Laohapand Thailand
Guiping Li relative to Manman Li China Manman Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Guiping Li

Since Specialization
Citations

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

Fields of papers citing papers by Guiping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201464
2 201846
3 201740
4 201230
5 201728
6 200522
7 202118
8 201818
9 201917
10 202017
11 202215
12 202014
13 202212
14 200611
15
Expressions of farnesoid X receptor and myeloid cell leukemia sequence 1 protein are associated with poor prognosis in patients with gallbladder cancer.
201410
16 20229
17 20249
18 20239
19 20199
20 20198

About Guiping Li

Guiping Li is a scholar working on Oncology, Epidemiology, Endocrinology, Diabetes and Metabolism, Pharmacology and Pathology and Forensic Medicine, having authored 56 papers that have together received 496 indexed citations. Recurring topics across this work include Coffee research and impacts (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Diabetes Treatment and Management (3 papers), Lung Cancer Treatments and Mutations (3 papers), Tea Polyphenols and Effects (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Acupuncture Treatment Research Studies (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Nephrology (51 citations), Complementary and alternative medicine (38 citations), Radiology, Nuclear Medicine and Imaging (58 citations), Endocrinology, Diabetes and Metabolism (41 citations) and Hepatology (16 citations). Guiping Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Weizu Li, Weiping Li, Xiong Li, Rong Ma, Li Sun, Quanshi Wang, Kai Huang, Yue Sun, Qian Zhang and Yaoming Xue. Their work appears in journals such as Nuclear Medicine and Biology, Biomedicine & Pharmacotherapy, World Journal of Gastroenterology, Journal of Investigative Medicine and Immunology.

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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