Tsuyoshi Esaki

998 citations
26 papers · 706 indexed · h-index 15
Topics
Computational Drug Discovery Methods (13 papers)Pharmacogenetics and Drug Metabolism (6 papers)Metabolomics and Mass Spectrometry Studies (5 papers)

In The Last Decade

Tsuyoshi Esaki

25 papers receiving 699 citations

Peers

Tsuyoshi Esaki
Comparison fields: 5 of 97
  • Molecular Biology 339
  • Spectroscopy 212
  • Computational Theory and Mathematics 188
  • Pharmacology 102
  • Biomedical Engineering 84
Replace Anna Maria Bianucci with:
Anna Maria Bianucci Italy
Yun-De Xiao United States
Andrey A. Ivashchenko Russia
Simone Sciabola United States
Pavlína Košinová Czechia
Jitender Verma India
Maykel Cruz‐Monteagudo Portugal
John W. Mayfield United States
Soheila Anzali Germany
Marco Tatò Italy
Tsuyoshi Esaki relative to Anna Maria Bianucci Italy Anna Maria Bianucci's profile →
Citations per field
00.5×
Anna Maria Bianucci · 1×
Citations per year

Countries citing papers authored by Tsuyoshi Esaki

Since Specialization
Citations

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

Fields of papers citing papers by Tsuyoshi Esaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsuyoshi Esaki

This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoshi Esaki. A scholar is included among the top collaborators of Tsuyoshi Esaki 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 Tsuyoshi Esaki. Tsuyoshi Esaki 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 5
2 17
3 2
4 5
5 6
6 1
7 12
8 1
9 2
10 32
11 16
12 12
13 20
14 29
15 48
16 37
17 180
18 22
19 19
20 14

About Tsuyoshi Esaki

Tsuyoshi Esaki is a scholar working on Computational Theory and Mathematics, Pharmacology and Spectroscopy, having authored 26 papers that have together received 706 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). The work is most often cited by research in Spectroscopy (212 citations), Computational Theory and Mathematics (188 citations) and Pharmacology (102 citations). Tsuyoshi Esaki has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Tsutomu Masujima, Reiko Watanabe, Kenji Mizuguchi, Rikiya Ohashi, Hitoshi Kawashima, Yayoi Natsume‐Kitatani, Chioko Nagao, Hajime Mizuno, Takashi Fujii and Naohiro Tsuyama. Their work appears in journals such as PLANT PHYSIOLOGY, Scientific Reports and Genetics.

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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