Ikki Sakuma

553 total citations
30 papers, 301 citations indexed

About

Ikki Sakuma is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Ikki Sakuma has authored 30 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Molecular Biology and 10 papers in Surgery. Recurrent topics in Ikki Sakuma's work include Pituitary Gland Disorders and Treatments (6 papers), Adrenal and Paraganglionic Tumors (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). Ikki Sakuma is often cited by papers focused on Pituitary Gland Disorders and Treatments (6 papers), Adrenal and Paraganglionic Tumors (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). Ikki Sakuma collaborates with scholars based in Japan, United States and Sweden. Ikki Sakuma's co-authors include Tomoaki Tanaka, Hidekazu Nagano, Koutaro Yokote, Akitoshi Nakayama, Naoko Hashimoto, Sawako Suzuki, Masanori Fujimoto, Hironobu Sasano, Mario Kahn and Ichiro Tatsuno and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Ikki Sakuma

25 papers receiving 298 citations

Peers

Ikki Sakuma
Comparison fields: 5 of 61
  • Endocrinology, Diabetes and Metabolism 110
  • Surgery 96
  • Molecular Biology 86
  • Epidemiology 62
  • Cancer Research 50
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Felipe Crispim Brazil
Qiaoqing Zhong China
Amira Turki Tunisia
Rémi Pierre France
Neslihan Çoban Türkiye
Takatoshi Anno Japan
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Citations per field, relative to Ikki Sakuma
Ikki Sakuma · 1×
Citations per year, relative to Ikki Sakuma
Ikki Sakuma · 1×

Countries citing papers authored by Ikki Sakuma

Since Specialization
Citations

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

Fields of papers citing papers by Ikki Sakuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikki Sakuma

This figure shows the co-authorship network connecting the top 25 collaborators of Ikki Sakuma. A scholar is included among the top collaborators of Ikki Sakuma 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 Ikki Sakuma. Ikki Sakuma 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 0
4 11
5 2
6 1
7 36
8 10
9 4
10 9
11 14
12 21
13 11
14 46
15 9
16 5
17 31
18 6
19 2
20
[Two cases of methanol poisoning with chronological measurements of blood concentrations of methanol, ethanol and formate].
3

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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