Satoshi Soda

483 citations
20 papers · 386 indexed · h-index 10
Topics
Cardiovascular Function and Risk Factors (4 papers)Lipoproteins and Cardiovascular Health (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)
Partner nations
JapanSri Lanka

In The Last Decade

Satoshi Soda

19 papers receiving 372 citations

Peers

Satoshi Soda
Comparison fields: 5 of 77
  • Cardiology and Cardiovascular Medicine 142
  • Endocrinology, Diabetes and Metabolism 121
  • Surgery 104
  • Physiology 65
  • Molecular Biology 62
Replace Tanja Miličić with:
Tanja Miličić Serbia
Gurdip Daffu United States
Hetal Shah United States
Krzysztof Kurek Poland
Atsuhiko Suzue Japan
Giuseppina Gambino Italy
Kelly Decaluwé Belgium
Susan Bellman Australia
Takeshi Ioroi Japan
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Satoshi Soda relative to Tanja Miličić Serbia Tanja Miličić's profile →
Citations per field
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Citations per year

Countries citing papers authored by Satoshi Soda

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Soda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Soda

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Soda. A scholar is included among the top collaborators of Satoshi Soda 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 Satoshi Soda. Satoshi Soda 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 2
2 1
3 8
4 4
5 9
6 12
7 29
8 34
9 15
10 19
11 36
12 9
13
[Polymorphisms in ACE gene deletion/insertion in type 2 diabetes].
3
14 2
15 6
16 59
17
Hyponatremia secondary to multiple etiologies: a case report.
0
18 60
19 76
20 2

About Satoshi Soda

Satoshi Soda is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Nephrology, having authored 20 papers that have together received 386 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (121 citations), Periodontics (32 citations) and Cardiology and Cardiovascular Medicine (142 citations). Satoshi Soda has collaborated with scholars based in Japan and Sri Lanka. Frequent co-authors include Susumu Kaneko, Osamu Hanyu, Osamu Nakagawa, Takashi Miida, Yoshifusa Aizawa, Kyuzi Kamoi, Masashi Miyakoshi, Konen Obayashi, Satoshi Hirayama and Keiichi Yamatani. Their work appears in journals such as Diabetes Care, Journal Of Clinical Periodontology and Clinica Chimica Acta.

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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