Hiroshi Nishira
- Molecular Biology
- Biotechnology top 5%
- Applied Microbiology and Biotechnology top 1%
- Pollution top 5%
- Plant Science
- Co-authors
- Ryu ShinkeKenji AokiM. A. JoslynTakashi NanmoriShigeaki ItoTakuji TanakaTakashi UemoriShôzaburo Kitaoka
- Topics
- Enzyme Production and Characterization (24 papers)Microbial Metabolic Engineering and Bioproduction (11 papers)Tannin, Tannase and Anticancer Activities (9 papers)
- Journals
- Analytical BiochemistryAnnals of the New York Academy of SciencesJournal of Chromatography A
- Partner nations
- JapanUnited States
In The Last Decade
Hiroshi Nishira
46 papers receiving 525 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 223
- Biotechnology 167
- Applied Microbiology and Biotechnology 151
- Pollution 150
- Plant Science 70
Countries citing papers authored by Hiroshi Nishira
This map shows the geographic impact of Hiroshi Nishira'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 Hiroshi Nishira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Nishira more than expected).
Fields of papers citing papers by Hiroshi Nishira
This network shows the impact of papers produced by Hiroshi Nishira. 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 Hiroshi Nishira. The network helps show where Hiroshi Nishira may publish in the future.
Co-authorship network of co-authors of Hiroshi Nishira
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Nishira. A scholar is included among the top collaborators of Hiroshi Nishira 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 Hiroshi Nishira. Hiroshi Nishira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 38 | |
| 7 | 6 | |
| 8 | 24 | |
| 9 | 18 | |
| 10 | Fractionation of Tryptophan from Polypepton Effective for Bacterial β-Amylase Production : Studies on Microbial β-Amylases (X) | 1 |
| 11 | 9 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | Filamentation in Bacillus cereus during β-Amylase Production : Studies on Microbial β-Amylase(IV) : | 6 |
| 17 | 21 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 4 |
About Hiroshi Nishira
Hiroshi Nishira is a scholar working on Applied Microbiology and Biotechnology, Biotechnology and Pharmaceutical Science, having authored 47 papers that have together received 560 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (24 papers), Microbial Metabolic Engineering and Bioproduction (11 papers) and Tannin, Tannase and Anticancer Activities (9 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (151 citations), Biotechnology (167 citations) and Pollution (150 citations). Hiroshi Nishira has collaborated with scholars based in Japan and United States. Frequent co-authors include Ryu Shinke, Kenji Aoki, M. A. Joslyn, Takashi Nanmori, Shigeaki Ito, Takuji Tanaka, Takashi Uemori, Shôzaburo Kitaoka, Yoshihisa Nakano and Hayato Yamanaka. Their work appears in journals such as Analytical Biochemistry, Annals of the New York Academy of Sciences and Journal of Chromatography A.
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.