Daisuke Nakano

6.1k citations
169 papers · 4.7k · h-index 40

Impact in

Papers in

Daisuke Nakano

164 papers receiving 4.6k citations

Peers

Daisuke Nakano
Comparison fields: 5 of 119
  • Nephrology 644
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Cardiology and Cardiovascular Medicine 849
  • Physiology 639
  • Nutrition and Dietetics 294
Replace Shokei Kim‐Mitsuyama with:
Shokei Kim‐Mitsuyama Japan
Ming‐Zhi Zhang United States
Atsuo Goto Japan
Toshiaki Tamaki Japan
Masanori Takaoka Japan
Akihiro Tojo Japan
Renee Leboeuf United States
Prabal K. Chatterjee United Kingdom
Raffaella Mastrocola Italy
Jan Galle Germany
Daisuke Nakano relative to Shokei Kim‐Mitsuyama Japan Shokei Kim‐Mitsuyama's profile →
Citations per field
00.5×1.5×2.4×
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-authors

The 25 scholars most cited alongside Daisuke Nakano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daisuke Nakano Line = papers co-authored together Daisuke Nakano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012205
2 2018152
3 2019133
4 2015130
5 2014122
6 2006109
7 2012107
8 2015101
9 201297
10 201096
11 200692
12 200389
13 201087
14 201082
15 200281
16 200876
17 201874
18 200869
19 201155
20 200555

About Daisuke Nakano

Daisuke Nakano is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology and Surgery, having authored 169 papers that have together received 4.7k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (34 papers), Renin-Angiotensin System Studies (30 papers), Adipose Tissue and Metabolism (16 papers), Sodium Intake and Health (12 papers), Diabetes Treatment and Management (12 papers), Garlic and Onion Studies (11 papers), Nitric Oxide and Endothelin Effects (10 papers) and Chronic Kidney Disease and Diabetes (10 papers). The work is most often cited by research in Nephrology (644 citations), Endocrinology, Diabetes and Metabolism (1.2k citations), Cardiology and Cardiovascular Medicine (849 citations), Physiology (639 citations) and Nutrition and Dietetics (294 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 Hideki Kobara. Their work appears in journals such as Journal of Pharmacological Sciences, Hypertension Research, Journal of Natural Medicines, Journal of Hypertension and Chemical and Pharmaceutical Bulletin.

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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