Jun Min

1.2k citations
33 papers · 628 · h-index 15

Impact in

  • Pollution top 5%
    • Microbial bioremediation and biosurfactants
    • Pharmaceutical and Antibiotic Environmental Impacts
    • Wastewater Treatment and Nitrogen Removal
    • Toxic Organic Pollutants Impact

Papers in

    • Microbial bioremediation and biosurfactants 14
    • Wastewater Treatment and Nitrogen Removal 5
    • Microbial Metabolic Engineering and Bioproduction 4
    • RNA modifications and cancer 3
    • Cancer-related gene regulation 2

Jun Min

32 papers receiving 622 citations

Peers

Jun Min
Comparison fields: 5 of 92
  • Pollution 317
  • Health, Toxicology and Mutagenesis 95
  • Hepatology 32
  • Analytical Chemistry 34
  • Ecology 73
Replace Yi Zhu with:
Yi Zhu China
Wenxuan Li China
Wenxing Zhao China
Yixin Zhao China
Wenting Ma China
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Tanja Hansen Germany
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Ziyue Li China
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Citations per field
00.5×4.1×
Yi Zhu · 1×
Citations per year

Countries citing papers authored by Jun Min

Since Specialization
Citations

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

Fields of papers citing papers by Jun Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201779
2 202062
3 201549
4 201448
5 201541
6 201735
7 201834
8 201828
9 201326
10 201623
11 201521
12 201920
13 201618
14 201016
15 202015
16 202213
17 201612
18 201712
19 202011
20 202410

About Jun Min

Jun Min is a scholar working on Pollution, Molecular Biology, Health, Toxicology and Mutagenesis, Surgery and Ecology, having authored 33 papers that have together received 628 indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (14 papers), Wastewater Treatment and Nitrogen Removal (5 papers), Microbial Fuel Cells and Bioremediation (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), RNA modifications and cancer (3 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers), Toxic Organic Pollutants Impact (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Pollution (317 citations), Health, Toxicology and Mutagenesis (95 citations), Hepatology (32 citations), Analytical Chemistry (34 citations) and Ecology (73 citations). Jun Min has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaoke Hu, Weiwei Chen, Junde Li, Ning‐Yi Zhou, Xiangnan Sun, Jun‐Jie Zhang, Ning-Yi Zhou, Weiwei Chen, Junjie Zhang and Bin Wang. Their work appears in journals such as Applied and Environmental Microbiology, International Biodeterioration & Biodegradation, Scientific Reports, Frontiers in Cell and Developmental Biology and Frontiers in Microbiology.

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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