Guohong Wei

727 citations
28 papers · 530 indexed · h-index 13

Impact in

Papers in

Guohong Wei

27 papers receiving 528 citations

Peers

Guohong Wei
Comparison fields: 5 of 94
  • Cancer Research 129
  • Endocrinology, Diabetes and Metabolism 103
  • Molecular Biology 243
  • Nephrology 24
  • Oncology 78
Replace Jie Kuang with:
Jie Kuang China
Susanne Rutschow Germany
Aline Delalandre Canada
Shu-Hong Li China
Sumbul Fatma United States
Yifang Hu China
Tetyana G Voloshenyuk United States
Xiaolin Zhang China
Sílvia Carbonell Sala Italy
Guohong Wei relative to Jie Kuang China Jie Kuang's profile →
Citations per field
00.5×8.8×
Jie Kuang · 1×
Citations per year

Countries citing papers authored by Guohong Wei

Since Specialization
Citations

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

Fields of papers citing papers by Guohong Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20233
3 202124
4 20213
5 202033
6 20205
7 202061
8 20193
9 201911
10 201758
11 20172
12 201552
13 201428
14 201337
15 201325
16 201334
17 20139
18 201131
19
[Comparison of continuous and discontinuous density gradient centrifugation for purification of human pancreatic islets].
20070
20
[In situ nucleic acid detection of HBV X gene in extrahepatic biliary tract carcinomas and its clinicopathological significance].
20044

About Guohong Wei

Guohong Wei is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Nephrology, Biochemistry and Pharmacology, having authored 28 papers that have together received 530 indexed citations. Recurring topics across this work include Berberine and alkaloids research (4 papers), Pancreatic function and diabetes (4 papers), Phytochemistry and biological activities of Ficus species (3 papers), MicroRNA in disease regulation (2 papers), Lipid metabolism and disorders (2 papers), Cancer-related molecular mechanisms research (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Cancer Research (129 citations), Endocrinology, Diabetes and Metabolism (103 citations), Molecular Biology (243 citations), Nephrology (24 citations) and Oncology (78 citations). Guohong Wei has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yanbing Li, Haipeng Xiao, Hai Li, Zhimin Huang, Hongyu Guan, Hongyu Guan, Juan Liu, Xiaojie Lin, Weiwei Liang and Lijuan Xu. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Thyroid, Diabetes Technology & Therapeutics, BMC Cancer and Journal of Medical Virology.

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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