Miao Tan

864 citations
21 papers · 627 · h-index 13

Impact in

Papers in

Miao Tan

21 papers receiving 617 citations

Peers

Miao Tan
Comparison fields: 5 of 78
  • Physiology 294
  • Cellular and Molecular Neuroscience 163
  • Rheumatology 72
  • Computational Theory and Mathematics 75
  • Molecular Biology 305
Replace Laura E. Palmer with:
Laura E. Palmer United Kingdom
Nicolle Siegart United States
Kallirhoe Kalinderi Greece
Mohammad Golam Sabbir Canada
Ying‐Ming Liou Taiwan
Megan K. Herbert Netherlands
Pietra Candela France
Huihui Ji China
Consuelo Pascual Spain
Miao Tan relative to Laura E. Palmer United Kingdom Laura E. Palmer's profile →
Citations per field
00.5×3.8×
Laura E. Palmer · 1×
Citations per year

Countries citing papers authored by Miao Tan

Since Specialization
Citations

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

Fields of papers citing papers by Miao Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008156
2 200792
3 201048
4 200945
5 200340
6 200936
7 200336
8 201230
9 202028
10 200927
11 200625
12 200222
13 202115
14 20087
15 20236
16 20075
17
Effects of percutaneous lower-extremity arterial interventions on endothelial function and inflammation response in patients with both type 2 diabetes and lower-extremity peripheral arterial disease.
20153
18 20242
19 20212
20 20251

About Miao Tan

Miao Tan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Surgery and Endocrine and Autonomic Systems, having authored 21 papers that have together received 627 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Ion channel regulation and function (6 papers), Receptor Mechanisms and Signaling (5 papers), Neuroscience of respiration and sleep (3 papers), Alzheimer's disease research and treatments (2 papers), Computational Drug Discovery Methods (2 papers), Neonatal and fetal brain pathology (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Physiology (294 citations), Cellular and Molecular Neuroscience (163 citations), Rheumatology (72 citations), Computational Theory and Mathematics (75 citations) and Molecular Biology (305 citations). Miao Tan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Cui-Wei Xie, Zhigang Lu, Daru Lu, Xueqing Qian, Hongliang Liu, Erica A. Fradinger, George B. Benedek, Gal Bitan, Aleksey Lomakin and Bernhard H. Monien. Their work appears in journals such as European Journal of Human Genetics, FEBS Letters, Biochemical Journal, Journal of Neuroscience and Neuropsychopharmacology.

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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