K Kitamura

64 total papers · 785 total citations
38 papers, 657 citations indexed

About

K Kitamura is a scholar working on Molecular Biology, Oncology and Neurology. According to data from OpenAlex, K Kitamura has authored 38 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Neurology. Recurrent topics in K Kitamura's work include Thin-Film Transistor Technologies (5 papers), Neuropeptides and Animal Physiology (4 papers) and Hearing, Cochlea, Tinnitus, Genetics (4 papers). K Kitamura is often cited by papers focused on Thin-Film Transistor Technologies (5 papers), Neuropeptides and Animal Physiology (4 papers) and Hearing, Cochlea, Tinnitus, Genetics (4 papers). K Kitamura collaborates with scholars based in Japan, Poland and Pakistan. K Kitamura's co-authors include Hideaki Tsuji, Noriko Bando, Kiyoshi Nishikawa, Tadashi Ogawa, H. F. Schuknecht, Hisashi Hirano, Yuelin Zhu, Hiroshi Nishino, Michio Miyata and Toyokazu Hiranuma and has published in prestigious journals such as Neuroscience, Journal of Pharmacology and Experimental Therapeutics and Psychopharmacology.

In The Last Decade

K Kitamura

36 papers receiving 626 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
K Kitamura 190 169 89 82 81 38 657
Kitti Pázmándi 44 0.2× 215 1.3× 11 0.1× 14 0.2× 31 0.4× 36 684
Kei Hashimoto 33 0.2× 305 1.8× 6 0.1× 63 0.8× 98 1.2× 34 599
Igal Gery 165 0.9× 195 1.2× 7 0.1× 14 0.2× 26 0.3× 36 759
Takeshi Ouchi 39 0.2× 138 0.8× 25 0.3× 26 0.3× 170 2.1× 48 638
Tomoko Sugawara 55 0.3× 94 0.6× 11 0.1× 29 0.4× 62 0.8× 29 617
Myrna Sabanero 36 0.2× 343 2.0× 16 0.2× 23 0.3× 201 2.5× 23 703
Sylvie Cavagna 174 0.9× 175 1.0× 7 0.1× 11 0.1× 95 1.2× 21 675
Hui Liu 66 0.3× 279 1.7× 12 0.1× 17 0.2× 12 0.1× 24 650
Gang Liu 50 0.3× 287 1.7× 9 0.1× 21 0.3× 46 0.6× 38 594
Luciana I. Gallo 17 0.1× 375 2.2× 43 0.5× 21 0.3× 18 0.2× 22 644

Countries citing papers authored by K Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by K Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Kitamura

This figure shows the co-authorship network connecting the top 25 collaborators of K Kitamura. A scholar is included among the top collaborators of K Kitamura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K Kitamura. K Kitamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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