Daiki Kobayashi
- Oncology top 10%
- General Health Professions top 5%
- Molecular Biology
- Clinical Psychology top 10%
- Surgery
- Co-authors
- Osamu TakahashiTsuguya FukuiTakuro ShimboGautam A. DeshpandeTakahiro MatsuoHiroko AriokaFumika TakiFumie Sakamoto
- Topics
- Sleep and related disorders (8 papers)COVID-19 and Mental Health (6 papers)Liver Disease Diagnosis and Treatment (6 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Daiki Kobayashi
120 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Oncology 276
- General Health Professions 271
- Molecular Biology 252
- Clinical Psychology 242
- Surgery 211
Countries citing papers authored by Daiki Kobayashi
This map shows the geographic impact of Daiki Kobayashi'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 Daiki Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiki Kobayashi more than expected).
Fields of papers citing papers by Daiki Kobayashi
This network shows the impact of papers produced by Daiki Kobayashi. 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 Daiki Kobayashi. The network helps show where Daiki Kobayashi may publish in the future.
Co-authorship network of co-authors of Daiki Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Daiki Kobayashi. A scholar is included among the top collaborators of Daiki Kobayashi 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 Daiki Kobayashi. Daiki Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 7 | |
| 13 | 12 | |
| 14 | 59 | |
| 15 | 8 | |
| 16 | 3 | |
| 17 | 9 | |
| 18 | 8 | |
| 19 | 1 | |
| 20 | Effects of inhalation of Akita Sugi (Cryptomeria japonica) wood oil on psychological and physiological responses. | 5 |
About Daiki Kobayashi
Daiki Kobayashi is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Emergency Medical Services, having authored 129 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sleep and related disorders (8 papers), COVID-19 and Mental Health (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (201 citations), Clinical Psychology (242 citations) and General Health Professions (271 citations). Daiki Kobayashi has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Osamu Takahashi, Tsuguya Fukui, Takuro Shimbo, Gautam A. Deshpande, Takahiro Matsuo, Hiroko Arioka, Fumika Taki, Fumie Sakamoto, Nobuyoshi Mori and Yuki Uehara. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.