Qing Min

2.0k citations
72 papers · 1.4k indexed · h-index 21

Qing Min

70 papers receiving 1.4k citations

Peers

Qing Min
Comparison fields: 5 of 133
  • Applied Microbiology and Biotechnology 39
  • Molecular Medicine 89
  • Electrochemistry 94
  • Cellular and Molecular Neuroscience 235
  • Developmental Neuroscience 47
Replace Mohammed Hossain with:
Mohammed Hossain United States
Jun Sung Kim South Korea
Dong Hoon Shin South Korea
Jingwen Li China
Rosa‐Helena Bustos Colombia
Yingying Han China
Vicente Rodilla Spain
Miao Zhang China
Qing Min relative to Mohammed Hossain United States Mohammed Hossain's profile →
Citations per field
00.5×4.9×
Mohammed Hossain · 1×
Citations per year

Countries citing papers authored by Qing Min

Since Specialization
Citations

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

Fields of papers citing papers by Qing Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20246
3 20232
4 202310
5 20231
6 202314
7 20216
8 202142
9 202110
10 202012
11 20205
12 202023
13 201910
14 2014132
15
Analysis of essential oil composition from different species of Osmanthus fragrans
20101
16 200910
17 200921
18
History,current state,opportunities and countermeasures of Dong Nationality rice-fish agrosystem——A case study of Congjiang County,Guizhou Province
20081
19 200655
20
Vegetation Eco-construction in Loess Plateau Region Viewing From Precipitation Resource
20022

About Qing Min

Qing Min is a scholar working on Molecular Medicine, Urology, Pharmacology, Immunology and Biomaterials, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers), Hydrogels: synthesis, properties, applications (6 papers), Bone Tissue Engineering Materials (6 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Silk-based biomaterials and applications (5 papers), Periodontal Regeneration and Treatments (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (39 citations), Molecular Medicine (89 citations), Electrochemistry (94 citations), Cellular and Molecular Neuroscience (235 citations) and Developmental Neuroscience (47 citations). Qing Min has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xin‐Peng Dun, David B. Parkinson, Jiliang Wu, Ying Wan, Yuchen Zhang, Wei Yu, Jiaoyan Liu, Wenliang Zha, Cairong Li and Shi Wang. Their work appears in journals such as Pharmaceutics, Advances in experimental medicine and biology, Frontiers in Cellular Neuroscience, Journal of Molecular and Cellular Cardiology and Evidence-based Complementary and Alternative Medicine.

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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