Daisuke Furushima

600 total citations
31 papers, 436 citations indexed

About

Daisuke Furushima is a scholar working on Pathology and Forensic Medicine, Biological Psychiatry and Epidemiology. According to data from OpenAlex, Daisuke Furushima has authored 31 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pathology and Forensic Medicine, 10 papers in Biological Psychiatry and 5 papers in Epidemiology. Recurrent topics in Daisuke Furushima's work include Tea Polyphenols and Effects (14 papers), Tryptophan and brain disorders (10 papers) and Pharmacy and Medical Practices (3 papers). Daisuke Furushima is often cited by papers focused on Tea Polyphenols and Effects (14 papers), Tryptophan and brain disorders (10 papers) and Pharmacy and Medical Practices (3 papers). Daisuke Furushima collaborates with scholars based in Japan. Daisuke Furushima's co-authors include Hiroshi Yamada, Kazuki Ide, Koji Kawakami, Norihiro Matsuoka, Keiko Unno, Yoriyuki Nakamura, Kazuaki Iguchi, Akio Morita, Hideki Horie and Shinobu Imai and has published in prestigious journals such as Diabetes Care, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Daisuke Furushima

28 papers receiving 432 citations

Peers

Daisuke Furushima
Comparison fields: 5 of 104
  • Pathology and Forensic Medicine 146
  • Molecular Biology 64
  • Physiology 63
  • Biological Psychiatry 61
  • Biochemistry 60
Norikata Takuma Japan
H. Ramazan Yılmaz Türkiye
Claudia I. Gamboa‐Gómez Mexico
Chethan Sampath United States
Karin Longet Switzerland
Yifan Xiong China
Masoud Khorshidi Iran
Gholamreza Bazmandegan Iran
Raffaella Bocale Italy
Premrutai Thitilertdecha Thailand
Norikata Takuma Japan View profile →
Citations per field, relative to Daisuke Furushima
Daisuke Furushima · 1×
Citations per year, relative to Daisuke Furushima
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Countries citing papers authored by Daisuke Furushima

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Furushima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Furushima

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Furushima. A scholar is included among the top collaborators of Daisuke Furushima 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 Furushima. Daisuke Furushima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 6
5 0
6 10
7 1
8 1
9 1
10 7
11 14
12 24
13 2
14 3
15 2
16 35
17 2
18 59
19 31
20 4

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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