Keiichi Nakano

1.8k citations
45 papers · 1.4k indexed · 1 hit paper · h-index 19
Topics
Thyroid Cancer Diagnosis and Treatment (18 papers)Cancer-related Molecular Pathways (6 papers)Neuroendocrine Tumor Research Advances (6 papers)
Partner nations
Japan

In The Last Decade

Keiichi Nakano

42 papers receiving 1.3k citations

Hit Papers

An Observation Trial Without Surgical Treatment in Patien...20032026201020182003200400600

Peers

Keiichi Nakano
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 884
  • Surgery 567
  • Molecular Biology 365
  • Oncology 248
  • Genetics 152
Replace Tamotsu Yokozawa with:
Tamotsu Yokozawa Japan
Junko Akaishi Japan
Tomonori Yabuta Japan
Qinghai Ji China
Myriam Decaussin‐Petrucci France
H. Rubén Harach United Kingdom
Carlotta Giani Italy
Georg F. W. Scheumann Germany
David Viola Italy
Nobuyasu Suganuma Japan
Keiichi Nakano relative to Tamotsu Yokozawa Japan Tamotsu Yokozawa's profile →
Citations per field
00.5×1.5×
Tamotsu Yokozawa · 1×
Citations per year

Countries citing papers authored by Keiichi Nakano

Since Specialization
Citations

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

Fields of papers citing papers by Keiichi Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiichi Nakano

This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi Nakano. A scholar is included among the top collaborators of Keiichi 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 Keiichi Nakano. Keiichi 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 3
2 2
3 0
4 1
5 18
6 9
7 15
8 3
9 43
10 2
11 7
12 25
13 11
14 3
15 14
16 23
17 27
18 21
19 25
20 1

About Keiichi Nakano

Keiichi Nakano is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Transplantation, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (18 papers), Cancer-related Molecular Pathways (6 papers) and Neuroendocrine Tumor Research Advances (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (884 citations), Anatomy (23 citations) and Surgery (567 citations). Keiichi Nakano has collaborated with scholars based in Japan. Frequent co-authors include Tamotsu Yokozawa, Fumio Matsuzuka, Akira Miyauchi, Kanji Kuma, Yasuhiro Ito, Kaoru Kobayashi, Akihiro Miya, Yuuki Takamura, Takashi Uruno and Seiji Kuma. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Analytical Biochemistry and British Journal of Cancer.

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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