Daisuke Kaya
Impact in
- Hepatology top 10%
- Liver Disease and Transplantation
-
- Parasites and Host Interactions
Papers in
-
- Liver Disease Diagnosis and Treatment 8
- Surgery 7
- Pancreatitis Pathology and Treatment 2
- Co-authors
- Yukihisa Fujinaga (13 shared papers)Hitoshi Yoshiji (13 shared papers)Tadashi Namisaki (12 shared papers)Hideto Kawaratani (13 shared papers)Kosuke Kaji (12 shared papers)Hiroaki Takaya (11 shared papers)Takemi Akahane (11 shared papers)Yuki Tsuji (10 shared papers)
- Journals
- Journal of Clinical Medicine (3 papers)International Journal of Molecular Sciences (2 papers)Antibiotics (1 paper)Cells (1 paper)Tropical Medicine and Health (1 paper)
- Partner nations
- Japan
In The Last Decade
Daisuke Kaya
18 papers receiving 208 citations
Peers
Comparison fields: 5 of 58
- Hepatology 70
- Parasitology 29
- Epidemiology 105
- Endocrinology, Diabetes and Metabolism 34
- Small Animals 13
Countries citing papers authored by Daisuke Kaya
This map shows the geographic impact of Daisuke Kaya'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 Daisuke Kaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Kaya more than expected).
Fields of papers citing papers by Daisuke Kaya
This network shows the impact of papers produced by Daisuke Kaya. 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 Daisuke Kaya. The network helps show where Daisuke Kaya may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Kaya, 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 | 2020 | 35 | |
| 2 | 2020 | 29 | |
| 3 | 2020 | 19 | |
| 4 | 2019 | 18 | |
| 5 | 2018 | 17 | |
| 6 | 2016 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 13 | |
| 10 | 2017 | 10 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 4 | |
| 14 | 2015 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 | |
| 18 | Tuberculous peritonitis during pegylated interferon plus ribavirin combination therapy in a patient with chronic hepatitis C. | 2014 | 1 |
| 19 | 2024 | 0 |
About Daisuke Kaya
Daisuke Kaya is a scholar working on Epidemiology, Surgery, Endocrinology, Diabetes and Metabolism, Hepatology and Pathology and Forensic Medicine, having authored 19 papers that have together received 211 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Liver Disease and Transplantation (4 papers), Diet, Metabolism, and Disease (2 papers), Alcohol Consumption and Health Effects (2 papers), Pancreatitis Pathology and Treatment (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Diabetes Treatment and Management (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Hepatology (70 citations), Parasitology (29 citations), Epidemiology (105 citations), Endocrinology, Diabetes and Metabolism (34 citations) and Small Animals (13 citations). Daisuke Kaya has collaborated with scholars based in Japan. Frequent co-authors include Yukihisa Fujinaga, Hitoshi Yoshiji, Tadashi Namisaki, Hideto Kawaratani, Kosuke Kaji, Hiroaki Takaya, Takemi Akahane, Yuki Tsuji, Kei Moriya and Takahiro Ozutsumi. Their work appears in journals such as Journal of Clinical Medicine, International Journal of Molecular Sciences, Antibiotics, Cells and Tropical Medicine and Health.
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.