Makoto Kuroda
- Infectious Diseases top 0.1%
- Molecular Biology top 2%
- Epidemiology top 1%
- Genetics top 2%
- Surgery top 5%
- Co-authors
- Tsuyoshi SekizukaLongzhu CuiKeiichi HiramatsuFumihiko TakeuchiTeruyo ItoToshiko OhtaTadashi BabaHarumi Yuzawa
- Topics
- Antibiotic Resistance in Bacteria (40 papers)Viral gastroenteritis research and epidemiology (31 papers)Bacteriophages and microbial interactions (30 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Makoto Kuroda
393 papers receiving 11.1k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Infectious Diseases 5.4k
- Molecular Biology 3.8k
- Epidemiology 2.0k
- Genetics 1.0k
- Surgery 1.0k
Countries citing papers authored by Makoto Kuroda
This map shows the geographic impact of Makoto Kuroda'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 Makoto Kuroda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Kuroda more than expected).
Fields of papers citing papers by Makoto Kuroda
This network shows the impact of papers produced by Makoto Kuroda. 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 Makoto Kuroda. The network helps show where Makoto Kuroda may publish in the future.
Co-authorship network of co-authors of Makoto Kuroda
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Kuroda. A scholar is included among the top collaborators of Makoto Kuroda 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 Makoto Kuroda. Makoto Kuroda 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 | 12 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 31 | |
| 8 | 23 | |
| 9 | 43 | |
| 10 | 26 | |
| 11 | 2 | |
| 12 | 38 | |
| 13 | 10 | |
| 14 | Characterization of the IncFII-IncFIB(pB171) Plasmid Carrying blaNDM-5 in Escherichia coli ST405 Clinical Isolate in Japan | 1 |
| 15 | Disentangling primer interactions improves SARS-CoV-2 genome sequencing by multiplex tiling PCR | 1 |
| 16 | 1 | |
| 17 | 41 | |
| 18 | 25 | |
| 19 | 1 | |
| 20 | 1 |
About Makoto Kuroda
Makoto Kuroda is a scholar working on Molecular Medicine, Infectious Diseases and Endocrinology, having authored 416 papers that have together received 11.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (40 papers), Viral gastroenteritis research and epidemiology (31 papers) and Bacteriophages and microbial interactions (30 papers). The work is most often cited by research in Infectious Diseases (5.4k citations), Molecular Medicine (1.0k citations) and Clinical Biochemistry (960 citations). Makoto Kuroda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tsuyoshi Sekizuka, Longzhu Cui, Keiichi Hiramatsu, Fumihiko Takeuchi, Teruyo Ito, Keiichi Hiramatsu, Toshiko Ohta, Tadashi Baba, Harumi Yuzawa and Akifumi Yamashita. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.