Takamitsu Nakano

5.0k citations
50 papers · 2.2k indexed · h-index 23
Topics
Lipoproteins and Cardiovascular Health (23 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers)Cancer, Lipids, and Metabolism (19 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Takamitsu Nakano

50 papers receiving 2.1k citations

Peers

Takamitsu Nakano
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Surgery 848
  • Cardiology and Cardiovascular Medicine 710
  • Cancer Research 546
  • Epidemiology 411
Replace Dorothy Bedford with:
Dorothy Bedford United Kingdom
Melissa A. Austin United States
Thomas P. Bersot United States
Hans Jansen Netherlands
Pia Lundman Sweden
Esther Ooi Australia
T Kuusi Finland
J L Jenner United States
Katalin V. Horvath United States
Kristine D. Uffelman Canada
Takamitsu Nakano relative to Dorothy Bedford United Kingdom Dorothy Bedford's profile →
Citations per field
00.5×3.7×
Dorothy Bedford · 1×
Citations per year

Countries citing papers authored by Takamitsu Nakano

Since Specialization
Citations

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

Fields of papers citing papers by Takamitsu Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takamitsu Nakano

This figure shows the co-authorship network connecting the top 25 collaborators of Takamitsu Nakano. A scholar is included among the top collaborators of Takamitsu 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 Takamitsu Nakano. Takamitsu 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 11
2 8
3 28
4 12
5 30
6 28
7 38
8 24
9 19
10 154
11 22
12 10
13 58
14 21
15 22
16 38
17 1
18 73
19 373
20 9

About Takamitsu Nakano

Takamitsu Nakano is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 50 papers that have together received 2.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (23 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers) and Cancer, Lipids, and Metabolism (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Cancer Research (546 citations) and Cardiology and Cardiovascular Medicine (710 citations). Takamitsu Nakano has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Katsuyuki Nakajima, Akira Tanaka, Masakazu Adachi, Aki Tamura, Motoko Suzuki, Toshimitsu SAITO, Norio Tada, Elisa Campos, Richard J. Havel and Peter J. Havel. Their work appears in journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and FEBS Letters.

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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