Takashi Kimura

67 total papers · 897 total citations
38 papers, 444 citations indexed

About

Takashi Kimura is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience. According to data from OpenAlex, Takashi Kimura has authored 38 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 10 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Takashi Kimura's work include Parkinson's Disease Mechanisms and Treatments (10 papers), Pituitary Gland Disorders and Treatments (9 papers) and Amyotrophic Lateral Sclerosis Research (6 papers). Takashi Kimura is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (10 papers), Pituitary Gland Disorders and Treatments (9 papers) and Amyotrophic Lateral Sclerosis Research (6 papers). Takashi Kimura collaborates with scholars based in Japan, United States and Canada. Takashi Kimura's co-authors include Hitoshi Aizawa, Shin Kwak, Takenari Yamashita, Osamu Yahara, Takuto Hideyama, Tetsuya Tagami, Akira Shimatsu, Takeshi Usui, Mitsuhide Naruse and Jun Sawada and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Cardiovascular Research.

In The Last Decade

Takashi Kimura

35 papers receiving 427 citations

Author Peers

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

Author						Papers	Cites
Takashi Kimura	195	159	109	99	77	38	444
Byung Kyu Cho	87 0.4×	133 0.8×	74 0.7×	206 2.1×	102 1.3×	30	491
Masaaki Konagaya	208 1.1×	118 0.7×	35 0.3×	89 0.9×	35 0.5×	44	491
Seung Heon	78 0.4×	137 0.9×	58 0.5×	76 0.8×	132 1.7×	33	452
K. Ikezaki	121 0.6×	106 0.7×	29 0.3×	114 1.2×	84 1.1×	20	463
Fabien Calcagno	116 0.6×	71 0.4×	37 0.3×	110 1.1×	122 1.6×	30	414
Per‐Erik Sandström	220 1.1×	73 0.5×	54 0.5×	78 0.8×	129 1.7×	32	461
Takao Urabe	90 0.5×	57 0.4×	58 0.5×	41 0.4×	56 0.7×	28	383
M. Zurita	79 0.4×	138 0.9×	25 0.2×	140 1.4×	99 1.3×	32	402
Christopher P. Millward	117 0.6×	138 0.9×	59 0.5×	101 1.0×	87 1.1×	43	455
Bo Cui	129 0.7×	182 1.1×	30 0.3×	126 1.3×	44 0.6×	37	424

Countries citing papers authored by Takashi Kimura

Since Specialization

Citations

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

Fields of papers citing papers by Takashi Kimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Kimura

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