Hiromi Amao
- Molecular Biology
- Microbiology top 5%
- Ecology
- Small Animals top 10%
- Immunology
- Co-authors
- Kazuaki W. TAKAHASHITakuo SawadaEiji KawamotoHiraku SasakiKoh KawasumiAtsushi ToheiM. SaitoSayaka Tsuchida
- Topics
- Diphtheria, Corynebacterium, and Tetanus (8 papers)Microbial infections and disease research (6 papers)Clostridium difficile and Clostridium perfringens research (5 papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGYVeterinary MicrobiologyBMC Microbiology
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Hiromi Amao
44 papers receiving 322 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 88
- Microbiology 81
- Ecology 44
- Small Animals 41
- Immunology 39
Countries citing papers authored by Hiromi Amao
This map shows the geographic impact of Hiromi Amao'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 Hiromi Amao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiromi Amao more than expected).
Fields of papers citing papers by Hiromi Amao
This network shows the impact of papers produced by Hiromi Amao. 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 Hiromi Amao. The network helps show where Hiromi Amao may publish in the future.
Co-authorship network of co-authors of Hiromi Amao
This figure shows the co-authorship network connecting the top 25 collaborators of Hiromi Amao. A scholar is included among the top collaborators of Hiromi Amao 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 Hiromi Amao. Hiromi Amao 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 | 5 | |
| 3 | 13 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 16 | |
| 7 | 12 | |
| 8 | 14 | |
| 9 | 16 | |
| 10 | 18 | |
| 11 | 15 | |
| 12 | 27 | |
| 13 | 5 | |
| 14 | 10 | |
| 15 | 2 | |
| 16 | Natural habitats of Corynebacterium kutscheri in subclinically infected ICGN and DBA/2 strains of mice. | 10 |
| 17 | 7 | |
| 18 | 7 | |
| 19 | Shortened estrous cycles in female mice in the presence of males | 1 |
| 20 | 9 |
About Hiromi Amao
Hiromi Amao is a scholar working on Endocrinology, Behavioral Neuroscience and Microbiology, having authored 45 papers that have together received 337 indexed citations. Recurring topics across this work include Diphtheria, Corynebacterium, and Tetanus (8 papers), Microbial infections and disease research (6 papers) and Clostridium difficile and Clostridium perfringens research (5 papers). The work is most often cited by research in Microbiology (81 citations), Behavioral Neuroscience (26 citations) and Endocrinology (36 citations). Hiromi Amao has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazuaki W. TAKAHASHI, Takuo Sawada, Eiji Kawamoto, Hiraku Sasaki, Koh Kawasumi, Atsushi Tohei, M. Saito, Sayaka Tsuchida, Masahiro SUGIYAMA and Yoshimi Benno. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Veterinary Microbiology and BMC 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.