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)Takemi Akahane (11 shared papers)Hiroaki Takaya (11 shared papers)Kei Moriya (12 shared papers)
- Journals
- Journal of Clinical Medicine (3 papers)International Journal of Molecular Sciences (2 papers)Nutrients (1 paper)Tropical Medicine and Health (1 paper)World Journal of Gastroenterology (1 paper)
- Partner nations
- Japan
In The Last Decade
Daisuke Kaya
18 papers receiving 217 citations
Peers
Comparison fields: 5 of 54
- Hepatology 62
- Parasitology 29
- Epidemiology 91
- Small Animals 13
- Endocrinology, Diabetes and Metabolism 26
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 | 30 | |
| 3 | 2020 | 20 | |
| 4 | 2019 | 19 | |
| 5 | 2018 | 18 | |
| 6 | 2016 | 16 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 15 | |
| 9 | 2020 | 14 | |
| 10 | 2017 | 10 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2015 | 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, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 19 papers that have together received 220 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Liver Disease and Transplantation (4 papers), Parasitic Infections and Diagnostics (2 papers), Platelet Disorders and Treatments (2 papers), Parasites and Host Interactions (2 papers), Pancreatitis Pathology and Treatment (2 papers), Diet, Metabolism, and Disease (2 papers) and Alcohol Consumption and Health Effects (2 papers). The work is most often cited by research in Hepatology (62 citations), Parasitology (29 citations), Epidemiology (91 citations), Small Animals (13 citations) and Endocrinology, Diabetes and Metabolism (26 citations). Daisuke Kaya has collaborated with scholars based in Japan. Frequent co-authors include Yukihisa Fujinaga, Hitoshi Yoshiji, Tadashi Namisaki, Hideto Kawaratani, Kosuke Kaji, Takemi Akahane, Hiroaki Takaya, Kei Moriya, Yuki Tsuji and Koh Kitagawa. Their work appears in journals such as Journal of Clinical Medicine, International Journal of Molecular Sciences, Nutrients, Tropical Medicine and Health and World Journal of 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.