Jiemin Pan

1.0k citations
35 papers · 590 · h-index 16

Impact in

Papers in

Jiemin Pan

34 papers receiving 579 citations

Peers

Jiemin Pan
Comparison fields: 5 of 72
  • Obstetrics and Gynecology 114
  • Endocrinology, Diabetes and Metabolism 161
  • Pediatrics, Perinatology and Child Health 41
  • Surgery 90
  • Physiology 42
Replace Carlos E. Leiva Sisnieguez with:
Carlos E. Leiva Sisnieguez Argentina
Juana A. Flores‐Le Roux Spain
Horacio A. Carbajal Argentina
Eduardo Balbín Argentina
T A Chowdhury United Kingdom
Lluís Vila Spain
J.H. Fuller United Kingdom
Judith Heath United States
Umesh Dashora United Kingdom
Donald Whitelaw United Kingdom
Jiemin Pan relative to Carlos E. Leiva Sisnieguez Argentina Carlos E. Leiva Sisnieguez's profile →
Citations per field
00.5×1.5×
Carlos E. Leiva Sisnieguez · 1×
Citations per year

Countries citing papers authored by Jiemin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Jiemin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201755
2 201850
3 201945
4 201041
5 201835
6 201034
7 201633
8 200823
9 201323
10 202021
11 200921
12 201621
13 201920
14 202119
15 201419
16 202018
17 202115
18 202113
19 201611
20
[Study on prevalence and risk factors of fatty liver of patients with type 2 diabetes].
200710

About Jiemin Pan

Jiemin Pan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Obstetrics and Gynecology and Physiology, having authored 35 papers that have together received 590 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Gestational Diabetes Research and Management (4 papers), Diabetes Management and Research (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Diet, Metabolism, and Disease (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (114 citations), Endocrinology, Diabetes and Metabolism (161 citations), Pediatrics, Perinatology and Child Health (41 citations), Surgery (90 citations) and Physiology (42 citations). Jiemin Pan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Weiping Jia, Yuqian Bao, Junling Tang, Weijing Zhao, Yajuan Huang, Haoyong Yu, Jian Zhou, Minfang Tao, Chen Wang and Wolin Hou. Their work appears in journals such as Diabetes Research and Clinical Practice, Journal of Medical Internet Research, Journal of Diabetes Investigation, BioMed Research International and Diabetic Medicine.

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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