Daisuke Kita

67 total papers · 1.5k total citations
53 papers, 1.1k citations indexed

About

Daisuke Kita is a scholar working on Neurology, Surgery and Epidemiology. According to data from OpenAlex, Daisuke Kita has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 13 papers in Surgery and 13 papers in Epidemiology. Recurrent topics in Daisuke Kita's work include Pituitary Gland Disorders and Treatments (13 papers), Glioma Diagnosis and Treatment (11 papers) and Head and Neck Surgical Oncology (9 papers). Daisuke Kita is often cited by papers focused on Pituitary Gland Disorders and Treatments (13 papers), Glioma Diagnosis and Treatment (11 papers) and Head and Neck Surgical Oncology (9 papers). Daisuke Kita collaborates with scholars based in Japan, France and Switzerland. Daisuke Kita's co-authors include Mitsutoshi Nakada, Yutaka Hayashi, Jun‐ichiro Hamada, Hiroko Ohgaki, Takuya Watanabe, Junkoh Yamashita, Yasuhiko Hayashi, Ilya V. Pyko, Lei Teng and Tomoya Takahashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of neurosurgery and Neurosurgery.

In The Last Decade

Daisuke Kita

52 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Daisuke Kita	457	339	247	196	159	53	1.1k
Matthew Schniederjan	353 0.8×	458 1.4×	179 0.7×	176 0.9×	258 1.6×	47	1.1k
Yazmín Odia	443 1.0×	556 1.6×	195 0.8×	213 1.1×	205 1.3×	87	1.2k
Stefania Scarpino	372 0.8×	376 1.1×	204 0.8×	271 1.4×	350 2.2×	50	1.4k
Ziming Du	478 1.0×	230 0.7×	302 1.2×	145 0.7×	214 1.3×	32	1.0k
Sílvia Regina Caminada de Toledo	650 1.4×	329 1.0×	284 1.1×	183 0.9×	289 1.8×	68	1.4k
Concha López‐Ginés	341 0.7×	258 0.8×	198 0.8×	253 1.3×	204 1.3×	66	1.1k
Antonio Fioravanti	322 0.7×	281 0.8×	218 0.9×	206 1.1×	296 1.9×	66	1.2k
Gerald Webersinke	353 0.8×	236 0.7×	208 0.8×	198 1.0×	209 1.3×	54	958
Yasuo Tohma	611 1.3×	373 1.1×	189 0.8×	104 0.5×	264 1.7×	30	1.1k
Valérie Panet-Raymond	307 0.7×	464 1.4×	220 0.9×	412 2.1×	305 1.9×	50	1.4k

Countries citing papers authored by Daisuke Kita

Since Specialization

Citations

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

Fields of papers citing papers by Daisuke Kita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Kita

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