Hiroki Ando
Impact in
- Endocrinology top 5%
- Microbiology top 5%
- Microbial infections and disease research
Papers in
-
- Cancer therapeutics and mechanisms 4
- Advanced biosensing and bioanalysis techniques 2
-
- Mycobacterium research and diagnosis 6
- Co-authors
- Timothy K. Lu (3 shared papers)Sébastien Lemire (2 shared papers)Diana P. Pires (1 shared paper)Andrew C. Yang (1 shared paper)Kevin Yehl (1 shared paper)Marcelo D. T. Torres (1 shared paper)Mark Mimee (1 shared paper)César de la Fuente‐Núñez (1 shared paper)
- Journals
- Molecular Microbiology (3 papers)International Dairy Journal (2 papers)Cellular Microbiology (1 paper)PLANT PHYSIOLOGY (1 paper)Microbiology (1 paper)
- Partner nations
- JapanUnited StatesPortugal
In The Last Decade
Hiroki Ando
22 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Endocrinology 155
- Microbiology 158
- Ecology 625
- Molecular Medicine 85
- Infectious Diseases 290
Countries citing papers authored by Hiroki Ando
This map shows the geographic impact of Hiroki Ando'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 Hiroki Ando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroki Ando more than expected).
Fields of papers citing papers by Hiroki Ando
This network shows the impact of papers produced by Hiroki Ando. 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 Hiroki Ando. The network helps show where Hiroki Ando may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroki Ando, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 309 | |
| 2 | Engineering Phage Host-Range and Suppressing Bacterial Resistance through Phage Tail Fiber Mutagenesis Hit paper breakdown → | 2019 | 289 |
| 3 | 2017 | 175 | |
| 4 | 2010 | 59 | |
| 5 | 2005 | 54 | |
| 6 | 2013 | 49 | |
| 7 | 2018 | 45 | |
| 8 | 2011 | 43 | |
| 9 | 2022 | 42 | |
| 10 | 2020 | 37 | |
| 11 | 2021 | 34 | |
| 12 | 2023 | 23 | |
| 13 | 2007 | 22 | |
| 14 | 2020 | 20 | |
| 15 | 2020 | 20 | |
| 16 | 2010 | 13 | |
| 17 | 2021 | 12 | |
| 18 | 2024 | 8 | |
| 19 | 2013 | 5 | |
| 20 | 2018 | 4 |
About Hiroki Ando
Hiroki Ando is a scholar working on Molecular Biology, Epidemiology, Ecology, Infectious Diseases and Endocrinology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (8 papers), Mycobacterium research and diagnosis (6 papers), Tuberculosis Research and Epidemiology (5 papers), Cancer therapeutics and mechanisms (4 papers), Bacterial Genetics and Biotechnology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Microbial infections and disease research (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Endocrinology (155 citations), Microbiology (158 citations), Ecology (625 citations), Molecular Medicine (85 citations) and Infectious Diseases (290 citations). Hiroki Ando has collaborated with scholars based in Japan, United States and Portugal. Frequent co-authors include Timothy K. Lu, Sébastien Lemire, Diana P. Pires, Andrew C. Yang, Kevin Yehl, Marcelo D. T. Torres, Mark Mimee, César de la Fuente‐Núñez, Tomoe Kitao and Teruo Kirikae. Their work appears in journals such as Molecular Microbiology, International Dairy Journal, Cellular Microbiology, PLANT PHYSIOLOGY and 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.