Jun Min

583 citations
20 papers · 499 · h-index 12

Impact in

  • Pollution top 2%
    • Microbial bioremediation and biosurfactants
    • Pesticide and Herbicide Environmental Studies
    • Pharmaceutical and Antibiotic Environmental Impacts
    • Enzyme-mediated dye degradation
    • Plant-Microbe Interactions and Immunity

Papers in

    • Microbial bioremediation and biosurfactants 16
    • Pesticide and Herbicide Environmental Studies 2
    • Aquaculture disease management and microbiota 2

Jun Min

19 papers receiving 496 citations

Peers

Jun Min
Comparison fields: 5 of 47
  • Pollution 362
  • Plant Science 47
  • Biotechnology 8
  • Environmental Chemistry 10
  • Electrochemistry 3
Replace Jaseetha Abdul Salam with:
Jaseetha Abdul Salam India
Ludmila Eugenevna Khmelevtsova Russia
Theresa M. Phillips Canada
Liancheng Fang China
Mandeep Dadhwal India
Samantha J. Marshall United Kingdom
D H Pieper Germany
Giovanna Carpani Italy
Natália Alvarenga Brazil
Jun Min relative to Jaseetha Abdul Salam India Jaseetha Abdul Salam's profile →
Citations per field
00.5×1.5×2×2.4×
Jaseetha Abdul Salam · 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
#Work
1 201786
2 202069
3 201448
4 201542
5 201740
6 201836
7 201832
8 201925
9 201620
10 201018
11 202017
12 201714
13 202011
14 20199
15 20219
16 20249
17 20217
18 20216
19 20251
20 20250

About Jun Min

Jun Min is a scholar working on Pollution, Immunology, Ecology, Health, Toxicology and Mutagenesis and Plant Science, having authored 20 papers that have together received 499 indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (16 papers), Microbial Community Ecology and Physiology (2 papers), Genomics and Phylogenetic Studies (2 papers), Pesticide and Herbicide Environmental Studies (2 papers), Aquaculture disease management and microbiota (2 papers), Enzyme-mediated dye degradation (1 paper), Water Treatment and Disinfection (1 paper) and Legume Nitrogen Fixing Symbiosis (1 paper). The work is most often cited by research in Pollution (362 citations), Plant Science (47 citations), Biotechnology (8 citations), Environmental Chemistry (10 citations) and Electrochemistry (3 citations). Jun Min has collaborated with scholars based in China, India and United States. Frequent co-authors include Xiaoke Hu, Weiwei Chen, Junde Li, Ning‐Yi Zhou, Weiwei Chen, Xiangnan Sun, Ning-Yi Zhou, Junjie Zhang, Yanyu Sun and Yang Lü. Their work appears in journals such as Applied and Environmental Microbiology, International Biodeterioration & Biodegradation, Frontiers in Microbiology, Journal of Hazardous Materials and Scientific Reports.

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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