Jin Koh

2.5k citations
52 papers · 2.0k · h-index 23

Impact in

    • Chromosomal and Genetic Variations
    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
    • Plant Disease Resistance and Genetics
    • Plant Reproductive Biology
    • Plant tissue culture and regeneration
    • Photosynthetic Processes and Mechanisms
    • Genomics and Phylogenetic Studies

Papers in

    • Plant Reproductive Biology 4
    • Photosynthetic Processes and Mechanisms 4
    • Genomics and Phylogenetic Studies 4
    • Chromosomal and Genetic Variations 8
    • Plant Stress Responses and Tolerance 7
    • Plant-Microbe Interactions and Immunity 4

Jin Koh

52 papers receiving 2.0k citations

Peers

Jin Koh
Comparison fields: 5 of 109
  • Plant Science 1.2k
  • Molecular Biology 1.0k
  • Ecology, Evolution, Behavior and Systematics 210
  • Health, Toxicology and Mutagenesis 122
  • Horticulture 7
Replace Dan Cheng with:
Dan Cheng China
Meng Zhang China
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Bo Zhu China
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Luigia Pazzagli Italy
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Jin Koh relative to Dan Cheng China Dan Cheng's profile →
Citations per field
00.5×4.9×
Dan Cheng · 1×
Citations per year

Countries citing papers authored by Jin Koh

Since Specialization
Citations

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

Fields of papers citing papers by Jin Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005227
2 2006161
3 2009131
4 2020113
5 201592
6 201987
7 202284
8 201082
9 201372
10 201272
11 200759
12 201455
13 200554
14 201648
15 201747
16 201344
17 201842
18 201340
19 201640
20 201538

About Jin Koh

Jin Koh is a scholar working on Molecular Biology, Plant Science, Physiology, Spectroscopy and Genetics, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (8 papers), Plant Stress Responses and Tolerance (7 papers), Mass Spectrometry Techniques and Applications (5 papers), Plant-Microbe Interactions and Immunity (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Plant Reproductive Biology (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Plant Science (1.2k citations), Molecular Biology (1.0k citations), Ecology, Evolution, Behavior and Systematics (210 citations), Health, Toxicology and Mutagenesis (122 citations) and Horticulture (7 citations). Jin Koh has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Pamela S. Soltis, Sixue Chen, Mi‐Jeong Yoo, Ning Zhu, Jennifer A. Tate, Yi Hu, Sangtae Kim, Hong Mā, Hongzhi Kong and Guanjing Hu. Their work appears in journals such as Scientific Reports, PLoS ONE, Genetics, The Plant Journal and Journal of Proteomics.

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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