Takeshi Ōmasa
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Genetics top 5%
- Biomedical Engineering top 10%
- Biotechnology top 2%
- Co-authors
- Hisao OhtakeKohsuke HondaKen‐ichi SugaMasayoshi OnitsukaMichimasa KishimotoYoshio KatakuraSuteaki ShioyaWook-Dong Kim
- Topics
- Viral Infectious Diseases and Gene Expression in Insects (76 papers)Monoclonal and Polyclonal Antibodies Research (48 papers)Protein purification and stability (42 papers)
- Journals
- Applied and Environmental MicrobiologyScientific ReportsBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Takeshi Ōmasa
161 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 2.1k
- Radiology, Nuclear Medicine and Imaging 549
- Genetics 504
- Biomedical Engineering 426
- Biotechnology 299
Countries citing papers authored by Takeshi Ōmasa
This map shows the geographic impact of Takeshi Ōmasa'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 Takeshi Ōmasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Ōmasa more than expected).
Fields of papers citing papers by Takeshi Ōmasa
This network shows the impact of papers produced by Takeshi Ōmasa. 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 Takeshi Ōmasa. The network helps show where Takeshi Ōmasa may publish in the future.
Co-authorship network of co-authors of Takeshi Ōmasa
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Ōmasa. A scholar is included among the top collaborators of Takeshi Ōmasa 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 Takeshi Ōmasa. Takeshi Ōmasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 19 | |
| 6 | 39 | |
| 7 | 4 | |
| 8 | Analysis of intracellular recombinant IgG secretion in engineered CHO cells | 0 |
| 9 | 6 | |
| 10 | 28 | |
| 11 | 17 | |
| 12 | 12 | |
| 13 | 13 | |
| 14 | 9 | |
| 15 | 34 | |
| 16 | 8 | |
| 17 | 48 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 4 |
About Takeshi Ōmasa
Takeshi Ōmasa is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biotechnology, having authored 168 papers that have together received 2.8k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (76 papers), Monoclonal and Polyclonal Antibodies Research (48 papers) and Protein purification and stability (42 papers). The work is most often cited by research in Biotechnology (299 citations), Molecular Biology (2.1k citations) and Radiology, Nuclear Medicine and Imaging (549 citations). Takeshi Ōmasa has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hisao Ohtake, Kohsuke Honda, Ken‐ichi Suga, Masayoshi Onitsuka, Michimasa Kishimoto, Yoshio Katakura, Suteaki Shioya, Wook-Dong Kim, Kenichi Higashiyama and Akihiro Shirai. Their work appears in journals such as Applied and Environmental Microbiology, Scientific Reports and Biochemical and Biophysical Research Communications.
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.