Jun Honda

498 citations
19 papers · 434 · h-index 13

Impact in

Papers in

    • Enzyme function and inhibition 5
    • Enzyme Catalysis and Immobilization 4
    • Protein purification and stability 4
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Advanced Biosensing Techniques and Applications 2

Jun Honda

17 papers receiving 426 citations

Peers

Jun Honda
Comparison fields: 5 of 67
  • Biochemistry 40
  • Pharmaceutical Science 26
  • Molecular Biology 285
  • Biomaterials 49
  • Physiology 82
Replace Jianghua Yan with:
Jianghua Yan China
Zizhen Zhao China
Nataliya Kavok Ukraine
Xiaomei Zhang China
Birgit Brunner Germany
Laksiri Weerasinghe Sri Lanka
Richard L. Baughn United States
Sirajud D. Khaja United States
Mohammed Azharuddin Savanur India
Michelle Maria Theresia Jansman Denmark
Jun Honda relative to Jianghua Yan China Jianghua Yan's profile →
Citations per field
00.5×2×2.6×
Jianghua Yan · 1×
Citations per year

Countries citing papers authored by Jun Honda

Since Specialization
Citations

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

Fields of papers citing papers by Jun Honda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 199581
2 201550
3 199048
4 199046
5 200140
6 200139
7 199124
8 199420
9 199220
10 199220
11 200113
12 199212
13 200012
14 19943
15 20233
16 20002
17 19921
18 20000
19 20230

About Jun Honda

Jun Honda is a scholar working on Molecular Biology, Materials Chemistry, Biochemistry, Electrical and Electronic Engineering and Pharmaceutical Science, having authored 19 papers that have together received 434 indexed citations. Recurring topics across this work include Enzyme function and inhibition (5 papers), Enzyme Catalysis and Immobilization (4 papers), Protein purification and stability (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Advanced Biosensing Techniques and Applications (2 papers), Electrochemical sensors and biosensors (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Biochemistry (40 citations), Pharmaceutical Science (26 citations), Molecular Biology (285 citations), Biomaterials (49 citations) and Physiology (82 citations). Jun Honda has collaborated with scholars based in Japan. Frequent co-authors include Teruyuki Nagamune, Isao Endo, Hiroyuki Sasabe, T Mannen, Yorinao Inoue, Satoshi Yamaguchi, Akira Hirata, Takumi Noguchi, Makoto Hirata and Atsushi Kitayama. Their work appears in journals such as Annals of the New York Academy of Sciences, FEBS Letters, Journal of Biomedical Materials Research Part B Applied Biomaterials, Analytical Biochemistry and Biochemical and Biophysical Research Communications.

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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