Satoshi Yamamoto

2.2k citations
69 papers · 1.9k indexed · h-index 26
Topics
Polyamine Metabolism and Applications (12 papers)Pancreatic function and diabetes (9 papers)Reproductive System and Pregnancy (7 papers)
Partner nations
JapanUnited StatesIndia

In The Last Decade

Satoshi Yamamoto

69 papers receiving 1.8k citations

Peers

Satoshi Yamamoto
Comparison fields: 5 of 110
  • Molecular Biology 950
  • Physiology 248
  • Immunology 221
  • Pharmacology 193
  • Reproductive Medicine 190
Replace John T. Gwynne with:
John T. Gwynne United States
Bukhtiar H. Shah United States
Richard J. Miksicek United States
Ivan Casaburi Italy
Rosa Sirianni Italy
Theresia Thalhammer Austria
Sergio A. Lamprecht Israel
Jadwiga K. Kepa United States
Francesca De Amicis Italy
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Satoshi Yamamoto relative to John T. Gwynne United States John T. Gwynne's profile →
Citations per field
00.5×3.5×
John T. Gwynne · 1×
Citations per year

Countries citing papers authored by Satoshi Yamamoto

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Yamamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Yamamoto. A scholar is included among the top collaborators of Satoshi Yamamoto 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 Yamamoto. Satoshi Yamamoto 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 13
2 7
3 10
4 18
5 16
6 47
7 6
8 3
9 9
10 4
11 15
12 32
13 1
14 11
15 7
16 99
17 41
18 130
19 32
20 44

About Satoshi Yamamoto

Satoshi Yamamoto is a scholar working on Reproductive Medicine, Behavioral Neuroscience and Biochemistry, having authored 69 papers that have together received 1.9k indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (12 papers), Pancreatic function and diabetes (9 papers) and Reproductive System and Pregnancy (7 papers). The work is most often cited by research in Reproductive Medicine (190 citations), Biochemistry (146 citations) and Biochemistry (115 citations). Satoshi Yamamoto has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Ryuichi Kato, Teruo Nakadate, Toshio Nakaki, Eriko Aizu, Nobuyuki Sasakawa, Minoru Irahara, Takashi Sügimura, Toshiyuki Yasui, Misa Nakayama and Masahiko Maegawa. Their work appears in journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Journal of Neurochemistry.

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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