Guiping Li

642 citations
55 papers · 475 · h-index 12

Impact in

Papers in

Guiping Li

51 papers receiving 466 citations

Peers

Guiping Li
Comparison fields: 5 of 91
  • Nephrology 57
  • Complementary and alternative medicine 43
  • Radiology, Nuclear Medicine and Imaging 68
  • Endocrinology, Diabetes and Metabolism 48
  • Hepatology 21
Replace Tianyu Yu with:
Tianyu Yu China
Manman Li China
Xiangrong Zuo China
Zhiwu Hong China
Zahra Mirfeizi Iran
Fumihiko Hinoshita Japan
Emily Wang United States
William M. Bennett United States
Tawee Laohapand Thailand
Abdelhadi M. Shebl Egypt
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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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201464
2 201845
3 201738
4 201230
5 201727
6 200522
7 201917
8 202017
9 201817
10 202116
11 202014
12 202213
13 200611
14
Expressions of farnesoid X receptor and myeloid cell leukemia sequence 1 protein are associated with poor prognosis in patients with gallbladder cancer.
201410
15 202210
16 20249
17 20198
18 20198
19 20228
20 20237

About Guiping Li

Guiping Li is a scholar working on Epidemiology, Surgery, Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 55 papers that have together received 475 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (6 papers), Coffee research and impacts (4 papers), Diabetes Treatment and Management (4 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Tea Polyphenols and Effects (3 papers). The work is most often cited by research in Nephrology (57 citations), Complementary and alternative medicine (43 citations), Radiology, Nuclear Medicine and Imaging (68 citations), Endocrinology, Diabetes and Metabolism (48 citations) and Hepatology (21 citations). Guiping Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Li Sun, Weizu Li, Weiping Li, Xiong Li, Rong Ma, Quanshi Wang, Kai Huang, Yue Sun, Yaoming Xue and Kongzhen Hu. Their work appears in journals such as Biomedicine & Pharmacotherapy, Nuclear Medicine and Biology, World Journal of Gastroenterology, Food Chemistry X 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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