Hisato Saitoh

6.2k citations
92 papers · 5.3k indexed · 1 hit paper · h-index 38
Topics
Ubiquitin and proteasome pathways (54 papers)Peptidase Inhibition and Analysis (13 papers)DNA Repair Mechanisms (10 papers)

In The Last Decade

Hisato Saitoh

92 papers receiving 5.2k citations

Hit Papers

Functional Heterogeneity of Small Ubiquitin-related Prote...20002026200820172000200400600

Peers

Hisato Saitoh
Comparison fields: 5 of 113
  • Molecular Biology 4.6k
  • Oncology 1.3k
  • Genetics 772
  • Cell Biology 726
  • Epidemiology 621
Replace Erica S. Johnson with:
Erica S. Johnson United States
Michael J. Matunis United States
Michael H. Tatham United Kingdom
Olivier Coux France
Andreas Bachmair Austria
Ellis Jaffray United Kingdom
Alexei F. Kisselev United States
Alfred C.O. Vertegaal Netherlands
Joana Desterro United Kingdom
Peter Zwickl Germany
Hisato Saitoh relative to Erica S. Johnson United States Erica S. Johnson's profile →
Citations per field
00.5×1.5×
Erica S. Johnson · 1×
Citations per year

Countries citing papers authored by Hisato Saitoh

Since Specialization
Citations

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

Fields of papers citing papers by Hisato Saitoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hisato Saitoh

This figure shows the co-authorship network connecting the top 25 collaborators of Hisato Saitoh. A scholar is included among the top collaborators of Hisato Saitoh 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 Hisato Saitoh. Hisato Saitoh 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 16
2 6
3 1
4 10
5 4
6 7
7 54
8 6
9 15
10 26
11 2
12 26
13 277
14 65
15 45
16 53
17 42
18 49
19 78
20 8

About Hisato Saitoh

Hisato Saitoh is a scholar working on Parasitology, Molecular Biology and Oncology, having authored 92 papers that have together received 5.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (54 papers), Peptidase Inhibition and Analysis (13 papers) and DNA Repair Mechanisms (10 papers). The work is most often cited by research in Molecular Biology (4.6k citations), Parasitology (355 citations) and Oncology (1.3k citations). Hisato Saitoh has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Joseph Hinchey, Mary Dasso, Yasuhiro Uchimura, William C. Earnshaw, Robert T. Pu, John E. Tomkiel, Mitsuyoshi Nakao, Carol Cooke, Michael J. Matunis and Hong Zhang. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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