Simin Tang

1.1k citations
31 papers · 804 · 1 hit paper · h-index 12

Impact in

Papers in

Simin Tang

26 papers receiving 788 citations

Simin Tang's Hit Papers

Pharmacological basis and new insights of quercetin action in respect to its anti-cancer effects 2019 · 483 citations
4830+2+4Years since publication100200300400

Peers

Simin Tang
Comparison fields: 5 of 99
  • Biochemistry 90
  • Molecular Medicine 41
  • Nephrology 53
  • Cancer Research 112
  • Geriatrics and Gerontology 28
Replace Sin Young Choi with:
Sin Young Choi South Korea
Sreepoorna Pramodh United Arab Emirates
Shanshan Wei China
Xin Han China
Peng Chu China
Melita Vidaković Serbia
Ahsas Goyal India
Tajdar Husain Khan India
Yavuz Dodurga Türkiye
Simin Tang relative to Sin Young Choi South Korea Sin Young Choi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Simin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Simin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pharmacological basis and new insights of quercetin action in respect to its anti-cancer effects
Hit paper breakdown →
2019483
2 201949
3 201932
4 202128
5 201725
6 202024
7 201923
8 202020
9 202019
10 201713
11 202011
12 201611
13 202211
14 202010
15 202110
16 20198
17 20198
18 20225
19 20235
20 20203

About Simin Tang

Simin Tang is a scholar working on Molecular Biology, Physiology, Cancer Research, Nephrology and Pharmacology, having authored 31 papers that have together received 804 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (6 papers), Cancer-related molecular mechanisms research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), MicroRNA in disease regulation (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Cancer, Lipids, and Metabolism (2 papers), Circular RNAs in diseases (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Biochemistry (90 citations), Molecular Medicine (41 citations), Nephrology (53 citations), Cancer Research (112 citations) and Geriatrics and Gerontology (28 citations). Simin Tang has collaborated with scholars based in China and United States. Frequent co-authors include Quanpeng Li, Xianxiu Ge, Jian Zhou, Lin Miao, Xueting Deng, Jun Zhou, Huan Jing, Youling Fan, Hongtao Chen and Zhenxing Huang. Their work appears in journals such as BMC Anesthesiology, Life Sciences, Clinical Epigenetics, Journal of Cellular Biochemistry and Neurochemical Research.

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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