Jianmin Ran

1.1k citations
43 papers · 818 · h-index 15

Impact in

Papers in

Jianmin Ran

38 papers receiving 807 citations

Peers

Jianmin Ran
Comparison fields: 5 of 75
  • Nephrology 143
  • Endocrinology, Diabetes and Metabolism 178
  • Clinical Biochemistry 66
  • Cardiology and Cardiovascular Medicine 143
  • Epidemiology 184
Replace Hye Kyoung Song with:
Hye Kyoung Song South Korea
Draženka Pongrac Barlovič Slovenia
Alluru S. Reddi United States
László Bajnok Hungary
Johan Fagerudd Finland
Fone‐Ching Hsiao Taiwan
Seok Man Son South Korea
Zhi Guo China
Atsutaka Yasui Japan
Soghra Rabizadeh Iran
Jianmin Ran relative to Hye Kyoung Song South Korea Hye Kyoung Song's profile →
Citations per field
00.5×
Hye Kyoung Song · 1×
Citations per year

Countries citing papers authored by Jianmin Ran

Since Specialization
Citations

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

Fields of papers citing papers by Jianmin Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014127
2 2006112
3 2011100
4 200453
5 200453
6 200940
7 200439
8 202230
9 201027
10 201419
11 201218
12 200517
13 201017
14 202315
15 200515
16 202213
17 202312
18
Protective effect of exosomes derived from bone marrow mesenchymal stem cells on rats with diabetic nephropathy and its possible mechanism.
202112
19 201711
20 202211

About Jianmin Ran

Jianmin Ran is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Physiology, Epidemiology and Molecular Biology, having authored 43 papers that have together received 818 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Thyroid Disorders and Treatments (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Diabetes Management and Research (2 papers), Wound Healing and Treatments (2 papers), Advanced Glycation End Products research (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Nephrology (143 citations), Endocrinology, Diabetes and Metabolism (178 citations), Clinical Biochemistry (66 citations), Cardiology and Cardiovascular Medicine (143 citations) and Epidemiology (184 citations). Jianmin Ran has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Mitsuru Adachi, Tsutomu Hirano, Ping Zhu, Yan Liu, Kenta Okada, Gang Xu, Lu Han, Meng Ren, Chuan Yang and Haruaki Kageyama. Their work appears in journals such as Diabetes Research and Clinical Practice, American Journal of Physiology-Endocrinology and Metabolism, Therapeutic Advances in Endocrinology and Metabolism, Journal of Hypertension and BMC Endocrine Disorders.

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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