Minjin Han

1.5k citations
59 papers · 776 · h-index 18

Impact in

    • Silkworms and Sericulture Research
    • Chromosomal and Genetic Variations
    • Plant Virus Research Studies

Papers in

Minjin Han

56 papers receiving 771 citations

Peers

Minjin Han
Comparison fields: 5 of 78
  • Insect Science 213
  • Plant Science 334
  • Biomaterials 104
  • Molecular Biology 464
  • Cellular and Molecular Neuroscience 107
Replace Keisuke Shoji with:
Keisuke Shoji Japan
Sherry Miller United States
Teresa D. Shippy United States
Daniela Großmann Germany
Haruhiko Fujiwara Japan
Shinpei Kawaoka Japan
Junko Nohata Japan
Xingfu Zha China
Baosheng Zeng China
Jun Duan China
Minjin Han relative to Keisuke Shoji Japan Keisuke Shoji's profile →
Citations per field
00.5×2.5×
Keisuke Shoji · 1×
Citations per year

Countries citing papers authored by Minjin Han

Since Specialization
Citations

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

Fields of papers citing papers by Minjin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201981
2 201749
3 201836
4 201433
5 201333
6 201631
7 201530
8 201028
9 201826
10 201326
11 202023
12 201423
13 201923
14 201423
15 201422
16 201620
17 201520
18 201818
19 201817
20 201316

About Minjin Han

Minjin Han is a scholar working on Molecular Biology, Insect Science, Plant Science, Biomaterials and Cellular and Molecular Neuroscience, having authored 59 papers that have together received 776 indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (19 papers), Neurobiology and Insect Physiology Research (16 papers), Silkworms and Sericulture Research (15 papers), Chromosomal and Genetic Variations (15 papers), Plant Virus Research Studies (13 papers), Invertebrate Immune Response Mechanisms (10 papers), Genomics and Phylogenetic Studies (10 papers) and Insect Resistance and Genetics (8 papers). The work is most often cited by research in Insect Science (213 citations), Plant Science (334 citations), Biomaterials (104 citations), Molecular Biology (464 citations) and Cellular and Molecular Neuroscience (107 citations). Minjin Han has collaborated with scholars based in China, Canada and France. Frequent co-authors include Fangyin Dai, Ze Zhang, Xiaoling Tong, Hua‐Hao Zhang, Zuogang Peng, Feng Shao, Hai Hu, Cheng Lu, Chunlin Li and Hongen Xu. Their work appears in journals such as Genome Biology and Evolution, International Journal of Molecular Sciences, Pest Management Science, Insect Science 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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