Jun Kitano

592 citations
8 papers · 512 · h-index 8

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 8
    • Neurobiology and Insect Physiology Research 4
    • Nerve injury and regeneration 1
    • Ion channel regulation and function 3
    • Nicotinic Acetylcholine Receptors Study 2
    • Receptor Mechanisms and Signaling 1

Jun Kitano

8 papers receiving 508 citations

Peers

Jun Kitano
Comparison fields: 5 of 56
  • Cellular and Molecular Neuroscience 366
  • Cell Biology 97
  • Molecular Biology 371
  • Neurology 36
  • Developmental Neuroscience 15
Replace Wenying Jin with:
Wenying Jin Hong Kong
Pasham Parameshwar Reddy Germany
Kätlin Silm United States
Nathan J. Lautermilch United States
Rachel Satterfield United States
Sujoy Bera Germany
S. Russell Nash Japan
Michael Kirmiz United States
Lori A. Weinstein United States
A. Kh. Urazaev United States
Jun Kitano relative to Wenying Jin Hong Kong Wenying Jin's profile →
Citations per field
00.5×1.5×
Wenying Jin · 1×
Citations per year

Countries citing papers authored by Jun Kitano

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kitano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2002151
2 2000135
3 200361
4 200359
5 200445
6 200426
7 200723
8 200412

About Jun Kitano

Jun Kitano is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Cognitive Neuroscience and Infectious Diseases, having authored 8 papers that have together received 512 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Neurobiology and Insect Physiology Research (4 papers), Ion channel regulation and function (3 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Memory and Neural Mechanisms (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Nerve injury and regeneration (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (366 citations), Cell Biology (97 citations), Molecular Biology (371 citations), Neurology (36 citations) and Developmental Neuroscience (15 citations). Jun Kitano has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Shigetada Nakanishi, Yoshiaki Nakajima, Yoshimitsu Yamazaki, Kumlesh K. Dev, Steven P. Braithwaite, Jeremy M. Henley, Takeshi Soda, Ryuichi Shigemoto, Masaaki Ogawa and Yasuo Mori. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience, Proceedings of the National Academy of Sciences, European Journal of Neuroscience and Genes to Cells.

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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