Minglin Pan

514 citations
13 papers · 446 · h-index 8

Impact in

Papers in

Minglin Pan

13 papers receiving 439 citations

Peers

Minglin Pan
Comparison fields: 5 of 53
  • Geriatrics and Gerontology 27
  • Nephrology 50
  • Endocrinology, Diabetes and Metabolism 61
  • Molecular Biology 167
  • Physiology 45
Replace Mingwei Shao with:
Mingwei Shao China
Baoping Chen China
Yutaka Kakizoe Japan
Jiamei Lu China
Suxia Yang China
Xuzhu Lin Australia
Mingfeng Cao China
Anna Faivre Switzerland
Yanlin Yu China
Yujie Deng China
Minglin Pan relative to Mingwei Shao China Mingwei Shao's profile →
Citations per field
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Mingwei Shao · 1×
Citations per year

Countries citing papers authored by Minglin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Minglin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2020177
2 201590
3 201153
4 201827
5
MicroRNA-134-5p promotes high glucose-induced podocyte apoptosis by targeting bcl-2.
201824
6 201623
7 201921
8 201914
9 20188
10 20246
11
Data analysis of 22 subjects with IGT over 25 years follow-up in Bengbu region.
20091
12
The Prognosis Analysis of 30 Cases with IGT after 10 Years Follow-up in Bengbu Area
20091
13
Cross-sectional investigation of prevalence of type 2 diabetes mellitus in the urban district of Bengbu
20091

About Minglin Pan

Minglin Pan is a scholar working on Endocrinology, Diabetes and Metabolism, Geriatrics and Gerontology, Physiology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 446 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Mitochondrial Function and Pathology (3 papers), Pulmonary Hypertension Research and Treatments (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Cell death mechanisms and regulation (2 papers), Cardiac Ischemia and Reperfusion (1 paper), Renal Diseases and Glomerulopathies (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Geriatrics and Gerontology (27 citations), Nephrology (50 citations), Endocrinology, Diabetes and Metabolism (61 citations), Molecular Biology (167 citations) and Physiology (45 citations). Minglin Pan has collaborated with scholars based in China and United States. Frequent co-authors include Ayako Makino, Ying Han, Dafa Ding, Rui Guo, Anzhi Dai, Yayun Wang, Antoine M. Snijders, Jian‐Hua Mao, Heng Miao and Yibing Lu. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Frontiers in Pharmacology, World Journal of Diabetes, PLoS ONE and Pulmonary Circulation.

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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