Tadahisa Kitamura

61 total papers · 1.1k total citations
33 papers, 943 citations indexed

About

Tadahisa Kitamura is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tadahisa Kitamura has authored 33 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Neurology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tadahisa Kitamura's work include Neurogenesis and neuroplasticity mechanisms (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Nerve injury and regeneration (5 papers). Tadahisa Kitamura is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Nerve injury and regeneration (5 papers). Tadahisa Kitamura collaborates with scholars based in Japan, United States and Austria. Tadahisa Kitamura's co-authors include Toshihiko Miyake, Setsuya Fujita, Masaru Fukuda, Takanori Hattori, Kazuo Kawasaki, Takuya Sakaguchi, Yoshinari Gahara, Manabu Nakayama, Osamu Ohara and Sachihiko Watanabe and has published in prestigious journals such as The Journal of Comparative Neurology, Brain Research and Gene.

In The Last Decade

Tadahisa Kitamura

32 papers receiving 927 citations

Author Peers

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

Author						Papers	Cites
Tadahisa Kitamura	373	365	296	251	114	33	943
Kathrin Kusch	296 0.8×	445 1.2×	259 0.9×	282 1.1×	91 0.8×	35	1.0k
Arifumi Kosakai	329 0.9×	423 1.2×	258 0.9×	186 0.7×	52 0.5×	25	1.0k
Alexandre Dobbertin	395 1.1×	403 1.1×	181 0.6×	215 0.9×	237 2.1×	25	928
E.J.H. Nathaniel	496 1.3×	240 0.7×	185 0.6×	266 1.1×	132 1.2×	37	1.1k
S. U. Kim	313 0.8×	447 1.2×	262 0.9×	262 1.0×	99 0.9×	21	949
Yanqing Yin	259 0.7×	472 1.3×	303 1.0×	104 0.4×	83 0.7×	27	959
Narman Puvanachandra	368 1.0×	297 0.8×	397 1.3×	286 1.1×	46 0.4×	21	1.0k
M. Didier‐Bazes	479 1.3×	377 1.0×	209 0.7×	172 0.7×	41 0.4×	35	1.2k
Yael Shani	578 1.5×	347 1.0×	296 1.0×	156 0.6×	53 0.5×	24	1.2k
Selva Baltan	312 0.8×	529 1.4×	384 1.3×	205 0.8×	43 0.4×	36	1.1k

Countries citing papers authored by Tadahisa Kitamura

Since Specialization

Citations

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

Fields of papers citing papers by Tadahisa Kitamura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadahisa Kitamura

This figure shows the co-authorship network connecting the top 25 collaborators of Tadahisa Kitamura. A scholar is included among the top collaborators of Tadahisa 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 Tadahisa Kitamura. Tadahisa 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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