Tetsu Hase

22 papers receiving 578 citations

Peers

Tetsu Hase
Comparison fields: 5 of 62
  • Infectious Diseases 133
  • Endocrinology 23
  • Biomedical Engineering 182
  • Parasitology 25
  • Microbiology 23
Replace Myriam Vincent with:
Myriam Vincent Canada
Staffan Bergh Sweden
Khai Luong United States
C. L. Redden United States
Seth D. Nydam United States
Beth W. Hazen United States
N. Katsui Japan
Anna Easton United Kingdom
Felix Mba Medie United States
Sonia Georgeault France
Tetsu Hase relative to Myriam Vincent Canada Myriam Vincent's profile →
Citations per field
00.5×3.1×
Myriam Vincent · 1×
Citations per year

Countries citing papers authored by Tetsu Hase

Since Specialization
Citations

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

Fields of papers citing papers by Tetsu Hase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tetsu Hase, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tetsu Hase Line = papers co-authored together Tetsu Hase links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007272
2 1974116
3 200355
4 200339
5 200416
6 197816
7 198914
8 198411
9 198610
10 19879
11 19926
12 19805
13 19935
14 19885
15 19864
16 19894
17 19784
18 19812
19 19842
20 19821

About Tetsu Hase

Tetsu Hase is a scholar working on Molecular Biology, Genetics, Ecology, Endocrinology and Biotechnology, having authored 22 papers that have together received 598 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Bacteriophages and microbial interactions (6 papers), DNA and Nucleic Acid Chemistry (4 papers), Escherichia coli research studies (4 papers), DNA Repair Mechanisms (3 papers), Enterobacteriaceae and Cronobacter Research (3 papers), Cancer Research and Treatments (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Infectious Diseases (133 citations), Endocrinology (23 citations), Biomedical Engineering (182 citations), Parasitology (25 citations) and Microbiology (23 citations). Tetsu Hase has collaborated with scholars based in Japan, Germany and Switzerland. Frequent co-authors include Tsugunori Notomi, Germán Henostroza, Martina Gerhardt, Zeaur Rahim, Pamela Nabeta, Rubhana Raqib, Catharina Boehme, Michael Höelscher, Erica Sanga and Mark D. Perkins. Their work appears in journals such as The Journal of General and Applied Microbiology, The Journal of Biochemistry, Chemical and Pharmaceutical Bulletin, Biochemical and Biophysical Research Communications and Journal of Clinical Microbiology.

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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