Nobuyoshi Mori
- Cardiology and Cardiovascular Medicine top 10%
- General Health Professions top 5%
- Clinical Psychology top 10%
- Molecular Biology
- Epidemiology
- Co-authors
- Masahiro KohzukiTakahiro MatsuoYuki UeharaFumika TakiDaiki KobayashiTsuguya FukuiFumie SakamotoOsamu Ito
- Topics
- Bacterial Identification and Susceptibility Testing (12 papers)Streptococcal Infections and Treatments (10 papers)Hormonal Regulation and Hypertension (8 papers)
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaGastroenterology
- Partner nations
- JapanUnited StatesLebanon
In The Last Decade
Nobuyoshi Mori
94 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cardiology and Cardiovascular Medicine 287
- General Health Professions 219
- Clinical Psychology 214
- Molecular Biology 197
- Epidemiology 195
Countries citing papers authored by Nobuyoshi Mori
This map shows the geographic impact of Nobuyoshi Mori'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 Nobuyoshi Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuyoshi Mori more than expected).
Fields of papers citing papers by Nobuyoshi Mori
This network shows the impact of papers produced by Nobuyoshi Mori. 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 Nobuyoshi Mori. The network helps show where Nobuyoshi Mori may publish in the future.
Co-authorship network of co-authors of Nobuyoshi Mori
This figure shows the co-authorship network connecting the top 25 collaborators of Nobuyoshi Mori. A scholar is included among the top collaborators of Nobuyoshi Mori 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 Nobuyoshi Mori. Nobuyoshi Mori 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | How to Diagnose COVID-19 in Early Stage or Asymptomatic Patient | 0 |
| 13 | 18 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 32 | |
| 19 | 13 | |
| 20 | 3 |
About Nobuyoshi Mori
Nobuyoshi Mori is a scholar working on Microbiology, Clinical Biochemistry and Molecular Medicine, having authored 116 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (12 papers), Streptococcal Infections and Treatments (10 papers) and Hormonal Regulation and Hypertension (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (287 citations), Microbiology (9 citations) and Endocrinology, Diabetes and Metabolism (179 citations). Nobuyoshi Mori has collaborated with scholars based in Japan, United States and Lebanon. Frequent co-authors include Masahiro Kohzuki, Takahiro Matsuo, Yuki Uehara, Fumika Taki, Daiki Kobayashi, Tsuguya Fukui, Fumie Sakamoto, Osamu Ito, Kazuhito Totsune and Kazuhiro Takahashi. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Gastroenterology.
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.