Tetsu Sakamoto

470 total citations
16 papers, 317 citations indexed

About

Tetsu Sakamoto is a scholar working on Plant Science, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Tetsu Sakamoto has authored 16 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 6 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in Tetsu Sakamoto's work include Plant-Microbe Interactions and Immunity (3 papers), Leptospirosis research and findings (3 papers) and Viral Infections and Vectors (3 papers). Tetsu Sakamoto is often cited by papers focused on Plant-Microbe Interactions and Immunity (3 papers), Leptospirosis research and findings (3 papers) and Viral Infections and Vectors (3 papers). Tetsu Sakamoto collaborates with scholars based in Brazil and United States. Tetsu Sakamoto's co-authors include Elizabeth P. B. Fontes, Michihito Deguchi, Anésia A. Santos, Fabyano Fonseca e Silva, José Miguel Ortega, Cláudio Brondani, Rosana Pereira Vianello, Bárbara S. F. Müller, Γεώργιος Παππάς and Éderson Akio Kido and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Tetsu Sakamoto

15 papers receiving 311 citations

Peers

Tetsu Sakamoto
Comparison fields: 5 of 43
  • Plant Science 219
  • Molecular Biology 93
  • Parasitology 27
  • Public Health, Environmental and Occupational Health 26
  • Infectious Diseases 24
Replace Chris O’Brien with:
Chris O’Brien Australia
Moritz Saxenhofer Switzerland
Muhammad Younis Pakistan
Yumiko Hirayama Japan
Jeffery A. Meyer United States
Frances Brigg Australia
G. Truol Argentina
Laila Gasmi Spain
Ekrem Atakan Türkiye
Larissa Barelli Canada
Chris O’Brien Australia View profile →
Citations per field, relative to Tetsu Sakamoto
Tetsu Sakamoto · 1×
Citations per year, relative to Tetsu Sakamoto
Tetsu Sakamoto · 1×

Countries citing papers authored by Tetsu Sakamoto

Since Specialization
Citations

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

Fields of papers citing papers by Tetsu Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsu Sakamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsu Sakamoto. A scholar is included among the top collaborators of Tetsu Sakamoto 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 Tetsu Sakamoto. Tetsu Sakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 3
3 7
4 7
5 6
6 8
7 44
8 3
9 27
10 17
11 5
12 25
13 22
14 10
15 28
16 105

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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2026