Daisuke Nakano

6.0k citations
168 papers · 4.6k indexed · h-index 39
Topics
Hormonal Regulation and Hypertension (37 papers)Renin-Angiotensin System Studies (32 papers)Adipose Tissue and Metabolism (17 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Daisuke Nakano

164 papers receiving 4.5k citations

Peers

Daisuke Nakano
Comparison fields: 5 of 121
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Molecular Biology 1.3k
  • Cardiology and Cardiovascular Medicine 986
  • Physiology 728
  • Nephrology 721
Replace Shokei Kim‐Mitsuyama with:
Shokei Kim‐Mitsuyama Japan
Atsuo Goto Japan
Toshiaki Tamaki Japan
I. George Fantus Canada
Ahmed A. Elmarakby United States
Ming‐Zhi Zhang United States
Tsuguhito Ota Japan
Jan Galle Germany
Nigishi Hotta Japan
Yoshihiko Nishio Japan
Daisuke Nakano relative to Shokei Kim‐Mitsuyama Japan Shokei Kim‐Mitsuyama's profile →
Citations per field
00.5×4.5×
Shokei Kim‐Mitsuyama · 1×
Citations per year

Countries citing papers authored by Daisuke Nakano

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Nakano

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Nakano. A scholar is included among the top collaborators of Daisuke Nakano 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 Nakano. Daisuke Nakano 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
#WorkIndexed citations
1 0
2 2
3 4
4 5
5 6
6 5
7 39
8 14
9 10
10 7
11 9
12 2
13 7
14 129
15 11
16 5
17 12
18 107
19 97
20 30

About Daisuke Nakano

Daisuke Nakano is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Cardiology and Cardiovascular Medicine, having authored 168 papers that have together received 4.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (37 papers), Renin-Angiotensin System Studies (32 papers) and Adipose Tissue and Metabolism (17 papers). The work is most often cited by research in Nephrology (721 citations), Endocrinology, Diabetes and Metabolism (1.3k citations) and Cardiology and Cardiovascular Medicine (986 citations). Daisuke Nakano has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Akira Nishiyama, Hirofumi Hitomi, Tsutomu Masaki, Hiroyuki Kobori, David M. Pollock, Kento Kitada, Yasuo Matsumura, Masakazu Kohno, Hirohito Mori and Yoshihide Fujisawa. Their work appears in journals such as Circulation, PLoS ONE and Scientific Reports.

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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