Jun Otsuka

422 citations
35 papers · 266 · h-index 11

Impact in

Papers in

    • Evolution and Genetic Dynamics 9
    • Bacterial Genetics and Biotechnology 4
    • RNA and protein synthesis mechanisms 6
    • Protein Structure and Dynamics 4

Jun Otsuka

31 papers receiving 255 citations

Peers

Jun Otsuka
Comparison fields: 5 of 87
  • History and Philosophy of Science 74
  • Genetics 113
  • Sociology and Political Science 99
  • Ecology, Evolution, Behavior and Systematics 27
  • Molecular Biology 76
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Citations per year

Countries citing papers authored by Jun Otsuka

Since Specialization
Citations

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

Fields of papers citing papers by Jun Otsuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201427
2 201726
3 201625
4 201921
5 201419
6 201117
7
Escherichia coli K12 genomic database.
199016
8 202012
9 202212
10 198612
11 196512
12
Periodic distribution of homologous genes or gene segments on the Escherichia coli K12 genome.
19888
13 19987
14 20176
15
A possible mode of protein evolution. Role of the anti-sense strand in the generation of new proteins.
19876
16 20235
17
Electronic aspects of the heme.
19784
18
A protein secondary structure database (PSS).
19914
19 20163
20 20173

About Jun Otsuka

Jun Otsuka is a scholar working on Genetics, Molecular Biology, History and Philosophy of Science, Sociology and Political Science and Cell Biology, having authored 35 papers that have together received 266 indexed citations. Recurring topics across this work include Philosophy and History of Science (10 papers), Evolution and Genetic Dynamics (9 papers), Evolutionary Game Theory and Cooperation (8 papers), RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (4 papers), Hemoglobin structure and function (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Electron Spin Resonance Studies (2 papers). The work is most often cited by research in History and Philosophy of Science (74 citations), Genetics (113 citations), Sociology and Political Science (99 citations), Ecology, Evolution, Behavior and Systematics (27 citations) and Molecular Biology (76 citations). Jun Otsuka has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Samir Okasha, Colin Allen, Elisabeth A. Lloyd, Hirokazu Suzuki, Pim Edelaar, Masao Kotani, Akira Tsugita, Katsuhisa Horimoto, Hideki Morimoto and Jussi Lehtonen. Their work appears in journals such as Philosophy of Science, Biophysical Journal, Biology & Philosophy, Philosophical Transactions of the Royal Society B Biological Sciences and IEEE Transactions on Magnetics.

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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