Min Qiang

1.4k citations
46 papers · 1.0k · h-index 18

Impact in

Papers in

    • Cancer therapeutics and mechanisms 8
    • Epigenetics and DNA Methylation 3
    • Synthesis and Biological Evaluation 4
    • Synthesis and biological activity 3

Min Qiang

38 papers receiving 972 citations

Peers

Min Qiang
Comparison fields: 5 of 106
  • Organic Chemistry 323
  • Molecular Medicine 52
  • Infectious Diseases 178
  • Biological Psychiatry 23
  • Neurology 69
Replace Shridhar Narayanan with:
Shridhar Narayanan India
Anju Katyal India
Benita Wiatrak Poland
Andrea Mattarei Italy
Qamre Alam Saudi Arabia
Aditya Bhalerao United States
Ashutosh Tripathi United States
Gurdeep Singh India
Parichehr Hassanzadeh Iran
Jiyong Lee South Korea
Min Qiang relative to Shridhar Narayanan India Shridhar Narayanan's profile →
Citations per field
00.5×3.5×
Shridhar Narayanan · 1×
Citations per year

Countries citing papers authored by Min Qiang

Since Specialization
Citations

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

Fields of papers citing papers by Min Qiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017109
2 201791
3 201387
4 201481
5 202077
6 201173
7 201363
8 201742
9 201033
10 201433
11 201932
12 201729
13 201727
14 201925
15 201824
16 201219
17 201719
18 200717
19 201716
20 201513

About Min Qiang

Min Qiang is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Mechanics of Materials and Epidemiology, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (8 papers), Synthesis and Biological Evaluation (4 papers), HIV/AIDS drug development and treatment (4 papers), Seismic Imaging and Inversion Techniques (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Hydraulic Fracturing and Reservoir Analysis (3 papers), Synthesis and biological activity (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Organic Chemistry (323 citations), Molecular Medicine (52 citations), Infectious Diseases (178 citations), Biological Psychiatry (23 citations) and Neurology (69 citations). Min Qiang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zhi Xu, Zaosheng Lv, Xufeng Song, Yuan‐Qiang Hu, Rongqiao He, Shu Zhang, Yanying Liu, Zhiqian Tong, Xiaojie Shi and Li Yu. Their work appears in journals such as Medicine, Scientific Reports, Smart Materials and Structures, Stem Cell Research and Bioorganic & Medicinal Chemistry Letters.

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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