Pili Zhang

1.8k total citations
22 papers, 1.5k citations indexed

About

Pili Zhang is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Pili Zhang has authored 22 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 8 papers in Molecular Biology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Pili Zhang's work include Pancreatic function and diabetes (12 papers), Cholesterol and Lipid Metabolism (7 papers) and Adipose Tissue and Metabolism (3 papers). Pili Zhang is often cited by papers focused on Pancreatic function and diabetes (12 papers), Cholesterol and Lipid Metabolism (7 papers) and Adipose Tissue and Metabolism (3 papers). Pili Zhang collaborates with scholars based in United States, France and United Kingdom. Pili Zhang's co-authors include Donald K. Scott, Robert M. O’Doherty, Ian Sipula, Nikolaos Dedousis, John J. Dubé, Wan Huang, Anantha S. Metlakunta, Adolfo Garcı́a-Ocaña, Laura Alonso and Seung K. Kim and has published in prestigious journals such as PLoS ONE, Molecular and Cellular Biology and Hepatology.

In The Last Decade

Pili Zhang

21 papers receiving 1.4k citations

Peers

Pili Zhang
Comparison fields: 5 of 85
  • Molecular Biology 637
  • Surgery 626
  • Epidemiology 371
  • Endocrinology, Diabetes and Metabolism 362
  • Genetics 335
Replace J. Michael Moates with:
J. Michael Moates United States
Takuma Kondo Japan
Shun‐ichiro Asahara Japan
Yukihiko Ueda Japan
Kim Ravnskjær Denmark
Kun Wook Chung South Korea
Sampathkumar Rangasamy United States
Judith Magenheim Israel
Frédéric Leprêtre France
Jean‐François Decaux France
J. Michael Moates United States View profile →
Citations per field, relative to Pili Zhang
Pili Zhang · 1×
Citations per year, relative to Pili Zhang
Pili Zhang · 1×

Countries citing papers authored by Pili Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Pili Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pili Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Pili Zhang. A scholar is included among the top collaborators of Pili Zhang 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 Pili Zhang. Pili Zhang 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 2
2 25
3 0
4 28
5 46
6 120
7 10
8 92
9 50
10 87
11 44
12 12
13 21
14 51
15 36
16 210
17 52
18 18
19 38
20 37

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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