Guanping Dong

724 total citations
51 papers, 471 citations indexed

About

Guanping Dong is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Guanping Dong has authored 51 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 22 papers in Genetics and 15 papers in Surgery. Recurrent topics in Guanping Dong's work include Diabetes and associated disorders (16 papers), Diabetes Management and Research (11 papers) and Pancreatic function and diabetes (11 papers). Guanping Dong is often cited by papers focused on Diabetes and associated disorders (16 papers), Diabetes Management and Research (11 papers) and Pancreatic function and diabetes (11 papers). Guanping Dong collaborates with scholars based in China, New Zealand and Sweden. Guanping Dong's co-authors include Junfen Fu, Wei Wu, Chaochun Zou, Jinling Wang, Ke Huang, Jianfeng Liang, Rahim Ullah, Xiumin Wang, Xuelian Zhou and Li Liang and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Medicine and Obesity.

In The Last Decade

Guanping Dong

48 papers receiving 463 citations

Peers

Guanping Dong
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 185
  • Molecular Biology 150
  • Genetics 136
  • Surgery 93
  • Epidemiology 91
Replace Marta Fichna with:
Marta Fichna Poland
Nazlı Gönç Türkiye
Chan Jong Kim South Korea
Ewa Bar‐Andziak Poland
S Bernasconi Italy
Katherine D. Henderson United States
Åsa Ågren Sweden
Milagros Alonso Spain
Stephanie T. Page United States
Dominika Januś Poland
Marta Fichna Poland View profile →
Citations per field, relative to Guanping Dong
Guanping Dong · 1×
Citations per year, relative to Guanping Dong
Guanping Dong · 1×

Countries citing papers authored by Guanping Dong

Since Specialization
Citations

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

Fields of papers citing papers by Guanping Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanping Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Guanping Dong. A scholar is included among the top collaborators of Guanping Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guanping Dong. Guanping Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 5
3 1
4 2
5 0
6 1
7 2
8 9
9 4
10 2
11 8
12 2
13 16
14 6
15 10
16 1
17 18
18 1
19
Metabolic syndrome and Leu72Met polymorphism of ghrelin gene in Chinese children and adoles-cents
0
20 19

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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