Takashi Ohmori
- Materials Chemistry top 10%
- Molecular Biology
- Electronic, Optical and Magnetic Materials top 10%
- Electrical and Electronic Engineering
- Biotechnology top 2%
- Co-authors
- Tamotsu ShigehisaRikimaru HayashiShiro TajiHiroaki MametsukaAkira FujishimaKazuhito HashimotoYasuo MaedaTakashi Iijima
- Topics
- Molecular Junctions and Nanostructures (7 papers)Biochemical effects in animals (6 papers)Protein Hydrolysis and Bioactive Peptides (6 papers)
- Partner nations
- JapanUnited StatesPuerto Rico
In The Last Decade
Takashi Ohmori
90 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 143
- Materials Chemistry 645
- Molecular Biology 374
- Electronic, Optical and Magnetic Materials 309
- Electrical and Electronic Engineering 266
- Biotechnology 256
Countries citing papers authored by Takashi Ohmori
This map shows the geographic impact of Takashi Ohmori'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 Takashi Ohmori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Ohmori more than expected).
Fields of papers citing papers by Takashi Ohmori
This network shows the impact of papers produced by Takashi Ohmori. 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 Takashi Ohmori. The network helps show where Takashi Ohmori may publish in the future.
Co-authorship network of co-authors of Takashi Ohmori
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Ohmori. A scholar is included among the top collaborators of Takashi Ohmori 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 Takashi Ohmori. Takashi Ohmori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 71 | |
| 5 | Experimental infection of dogs with Babesia microti | 1 |
| 6 | 27 | |
| 7 | 50 | |
| 8 | 18 | |
| 9 | 3 | |
| 10 | 96 | |
| 11 | SERUM INTERLEUKIN-12 LEVELS AND SPLENIC HELPER T CELL SUBPOPULATION IN BABESIA RODHAINI INOCULATED MICE PREIMMUNIZED WITH BABESIA MICROTI | 0 |
| 12 | 20 | |
| 13 | Hydrogen production from solar light energy by photovoltaic water electrolysis | 2 |
| 14 | 10 | |
| 15 | 37 | |
| 16 | 10 | |
| 17 | 28 | |
| 18 | 41 | |
| 19 | 214 | |
| 20 | 59 |
About Takashi Ohmori
Takashi Ohmori is a scholar working on Bioengineering, Electrochemistry and Radiation, having authored 93 papers that have together received 2.2k indexed citations. Recurring topics across this work include Molecular Junctions and Nanostructures (7 papers), Biochemical effects in animals (6 papers) and Protein Hydrolysis and Bioactive Peptides (6 papers). The work is most often cited by research in Biotechnology (256 citations), Animal Science and Zoology (255 citations) and Electronic, Optical and Magnetic Materials (309 citations). Takashi Ohmori has collaborated with scholars based in Japan, United States and Puerto Rico. Frequent co-authors include Tamotsu Shigehisa, Rikimaru Hayashi, Shiro Taji, Hiroaki Mametsuka, Akira Fujishima, Kazuhito Hashimoto, Yasuo Maeda, Takashi Iijima, Fumihiko Gejima and A. Fujita. Their work appears in journals such as Applied Physics Letters, PLoS ONE and Analytical Chemistry.
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.