Daisho Hirota

9 total papers · 600 total citations
6 papers, 519 citations indexed

About

Daisho Hirota is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daisho Hirota has authored 6 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Surgery and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daisho Hirota's work include Diabetes Treatment and Management (3 papers), Neuropeptides and Animal Physiology (2 papers) and Pancreatitis Pathology and Treatment (1 paper). Daisho Hirota is often cited by papers focused on Diabetes Treatment and Management (3 papers), Neuropeptides and Animal Physiology (2 papers) and Pancreatitis Pathology and Treatment (1 paper). Daisho Hirota collaborates with scholars based in Japan. Daisho Hirota's co-authors include Kenichi Shikata, Hirofumi Makino, Ryo Kodera, Satoshi Miyamoto, Nobuo Kajitani, Hitomi Kataoka, Chikage Sato, Motofumi Sasaki, Daisuke Ogawa and Soichi Nishishita and has published in prestigious journals such as Diabetes, Biochemical and Biophysical Research Communications and Diabetologia.

In The Last Decade

Daisho Hirota

6 papers receiving 514 citations

Author Peers

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

Author						Papers	Cites
Daisho Hirota	325	162	130	103	77	6	519
Chikage Sato	288 0.9×	146 0.9×	169 1.3×	114 1.1×	47 0.6×	9	551
Simon Gross	292 0.9×	136 0.8×	157 1.2×	152 1.5×	57 0.7×	8	510
Hyun Wha Chung	212 0.7×	128 0.8×	227 1.7×	138 1.3×	37 0.5×	13	573
Susumu Takagi	189 0.6×	118 0.7×	162 1.2×	126 1.2×	54 0.7×	11	460
Hidemitsu Sakagami	206 0.6×	182 1.1×	205 1.6×	68 0.7×	42 0.5×	13	512
Ryoko Takei	199 0.6×	110 0.7×	177 1.4×	41 0.4×	26 0.3×	9	495
Elena Zinßius	279 0.9×	135 0.8×	212 1.6×	34 0.3×	21 0.3×	7	596
Gaetana Albanese	300 0.9×	154 1.0×	239 1.8×	42 0.4×	27 0.4×	11	612
R Dechend	105 0.3×	96 0.6×	135 1.0×	85 0.8×	38 0.5×	11	570
Thaíssa Dantas Pessoa	403 1.2×	221 1.4×	216 1.7×	75 0.7×	36 0.5×	7	531

Countries citing papers authored by Daisho Hirota

Since Specialization

Citations

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

Fields of papers citing papers by Daisho Hirota

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisho Hirota

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