Takeshi Kohno

73 total papers · 524 total citations
30 papers, 319 citations indexed

About

Takeshi Kohno is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Takeshi Kohno has authored 30 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Neurology. Recurrent topics in Takeshi Kohno's work include AI-based Problem Solving and Planning (4 papers), Mitochondrial Function and Pathology (3 papers) and Acute Ischemic Stroke Management (3 papers). Takeshi Kohno is often cited by papers focused on AI-based Problem Solving and Planning (4 papers), Mitochondrial Function and Pathology (3 papers) and Acute Ischemic Stroke Management (3 papers). Takeshi Kohno collaborates with scholars based in Japan, United States and United Kingdom. Takeshi Kohno's co-authors include Kintomo Takakura, Takamitsu Fujimaki, Masao Matsutani, Akio Asai, Kazuya Nagata, Osamu Nakamura, Tadayoshi Matsuda, Hideki Tanaka, Nobuaki Funada and Morio Koike and has published in prestigious journals such as Cancer, Journal of neurosurgery and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Takeshi Kohno

21 papers receiving 296 citations

Author Peers

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

Author						Papers	Cites
Takeshi Kohno	136	104	64	59	56	30	319
John Fort	87 0.6×	91 0.9×	90 1.4×	41 0.7×	79 1.4×	25	344
Yin Wang	89 0.7×	142 1.4×	35 0.5×	80 1.4×	66 1.2×	15	359
A. Fiorillo	84 0.6×	98 0.9×	30 0.5×	57 1.0×	47 0.8×	33	332
Shinn‐Yn Lin	112 0.8×	104 1.0×	39 0.6×	128 2.2×	53 0.9×	19	334
Martyn Carey	74 0.5×	156 1.5×	86 1.3×	22 0.4×	73 1.3×	23	327
Michifumi Kohno	87 0.6×	52 0.5×	26 0.4×	64 1.1×	35 0.6×	30	275
I. Neetens	147 1.1×	65 0.6×	54 0.8×	40 0.7×	39 0.7×	25	354
Zimmerman Hm	62 0.5×	91 0.9×	56 0.9×	45 0.8×	66 1.2×	32	356
Roberta Migliorati	67 0.5×	95 0.9×	56 0.9×	67 1.1×	34 0.6×	31	339
Tung Wynn	47 0.3×	88 0.8×	39 0.6×	30 0.5×	24 0.4×	23	298

Countries citing papers authored by Takeshi Kohno

Since Specialization

Citations

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

Fields of papers citing papers by Takeshi Kohno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Kohno

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