Yasumitsu Ichikawa

34 total papers · 416 total citations
25 papers, 279 citations indexed

About

Yasumitsu Ichikawa is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Yasumitsu Ichikawa has authored 25 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Yasumitsu Ichikawa's work include Neurogenetic and Muscular Disorders Research (4 papers), Intracranial Aneurysms: Treatment and Complications (4 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Yasumitsu Ichikawa is often cited by papers focused on Neurogenetic and Muscular Disorders Research (4 papers), Intracranial Aneurysms: Treatment and Complications (4 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Yasumitsu Ichikawa collaborates with scholars based in Japan. Yasumitsu Ichikawa's co-authors include Osamu Igarashi, Yasuo Iwasaki, Ken Ikeda, Masao Kinoshita, Toru Machida, Keisuke Arasaki, Akira Hyodo, Akio Morita, Toshikazu Kimura and Osamu Tagusari and has published in prestigious journals such as The Annals of Thoracic Surgery, Journal of the Neurological Sciences and Neurochemical Research.

In The Last Decade

Yasumitsu Ichikawa

25 papers receiving 272 citations

Author Peers

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

Author						Papers	Cites
Yasumitsu Ichikawa	91	56	49	46	46	25	279
Se Hun Park	48 0.5×	40 0.7×	54 1.1×	32 0.7×	17 0.4×	28	295
Fiete Lange	86 0.9×	52 0.9×	30 0.6×	46 1.0×	16 0.3×	26	292
Jichen Du	88 1.0×	42 0.8×	28 0.6×	80 1.7×	12 0.3×	30	302
Shaoshi Wang	83 0.9×	18 0.3×	44 0.9×	33 0.7×	49 1.1×	22	300
Federica Assenza	55 0.6×	43 0.8×	37 0.8×	24 0.5×	57 1.2×	36	325
Shantanu Shubham	103 1.1×	53 0.9×	18 0.4×	54 1.2×	36 0.8×	17	242
Roberta Ravenni	69 0.8×	36 0.6×	31 0.6×	22 0.5×	17 0.4×	19	272
Fen Xie	176 1.9×	44 0.8×	57 1.2×	39 0.8×	14 0.3×	15	325
Seongjin Choi	64 0.7×	23 0.4×	67 1.4×	50 1.1×	42 0.9×	21	330
Benno Ikenberg	78 0.9×	83 1.5×	17 0.3×	67 1.5×	18 0.4×	31	328

Countries citing papers authored by Yasumitsu Ichikawa

Since Specialization

Citations

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

Fields of papers citing papers by Yasumitsu Ichikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasumitsu Ichikawa

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