Mark Kunitomi
Impact in
- Insect Science top 2%
- Insect symbiosis and bacterial influences
- Immunology top 10%
- Invertebrate Immune Response Mechanisms
Papers in
-
- Genomics and Phylogenetic Studies 5
- Insect Resistance and Genetics 3
- Ecology 5
- Bacteriophages and microbial interactions 3
- Co-authors
- Raul Andino (6 shared papers)Michel Tassetto (5 shared papers)Arabinda Nayak (2 shared papers)Dwight Barnes (1 shared paper)Marco Vignuzzi (1 shared paper)Kalle Saksela (1 shared paper)Zachary J. Whitfield (2 shared papers)Patrick Dolan (2 shared papers)
- Journals
- Scientific Reports (2 papers)Viruses (2 papers)Current Issues in Molecular Biology (1 paper)Current Biology (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomMalaysia
In The Last Decade
Mark Kunitomi
17 papers receiving 906 citations
Peers
Comparison fields: 5 of 64
- Insect Science 319
- Immunology 221
- Infectious Diseases 153
- Public Health, Environmental and Occupational Health 225
- Endocrinology 37
Countries citing papers authored by Mark Kunitomi
This map shows the geographic impact of Mark Kunitomi'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 Mark Kunitomi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Kunitomi more than expected).
Fields of papers citing papers by Mark Kunitomi
This network shows the impact of papers produced by Mark Kunitomi. 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 Mark Kunitomi. The network helps show where Mark Kunitomi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Kunitomi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 217 | |
| 2 | 2010 | 176 | |
| 3 | 2008 | 141 | |
| 4 | 2017 | 124 | |
| 5 | 2019 | 102 | |
| 6 | 2013 | 61 | |
| 7 | 2019 | 31 | |
| 8 | 2021 | 16 | |
| 9 | 2019 | 12 | |
| 10 | 2020 | 9 | |
| 11 | 2025 | 7 | |
| 12 | 2019 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 4 | |
| 15 | 2018 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2019 | 1 |
About Mark Kunitomi
Mark Kunitomi is a scholar working on Molecular Biology, Ecology, Public Health, Environmental and Occupational Health, Insect Science and Plant Science, having authored 17 papers that have together received 920 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Insect symbiosis and bacterial influences (4 papers), Insect Resistance and Genetics (3 papers), Mosquito-borne diseases and control (3 papers), Plant Virus Research Studies (3 papers), Bacteriophages and microbial interactions (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Invertebrate Immune Response Mechanisms (2 papers). The work is most often cited by research in Insect Science (319 citations), Immunology (221 citations), Infectious Diseases (153 citations), Public Health, Environmental and Occupational Health (225 citations) and Endocrinology (37 citations). Mark Kunitomi has collaborated with scholars based in United States, United Kingdom and Malaysia. Frequent co-authors include Raul Andino, Michel Tassetto, Arabinda Nayak, Dwight Barnes, Marco Vignuzzi, Kalle Saksela, Zachary J. Whitfield, Patrick Dolan, Changhui Deng and John D. Gross. Their work appears in journals such as Scientific Reports, Viruses, Current Issues in Molecular Biology, Current Biology and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.