Daisuke Kudo
Impact in
-
- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research
Papers in
- Surgery 43
- Cholangiocarcinoma and Gallbladder Cancer Studies 9
- Epidemiology 34
- Sepsis Diagnosis and Treatment 22
- Co-authors
- Shigeki Kushimoto (52 shared papers)Kenichi Hakamada (49 shared papers)Kazuma Yamakawa (12 shared papers)Mineji Hayakawa (14 shared papers)Ikuko Kakizaki (8 shared papers)Keiichi Takagaki (5 shared papers)Noriko Miyagawa (7 shared papers)Yu Kawazoe (6 shared papers)
- Journals
- Critical Care (7 papers)Journal of Critical Care (5 papers)Journal of Intensive Care (5 papers)HPB (4 papers)Pancreatology (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Daisuke Kudo
147 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 132
- Critical Care and Intensive Care Medicine 228
- Cell Biology 306
- Internal Medicine 54
- Immunology 330
- Epidemiology 462
Countries citing papers authored by Daisuke Kudo
This map shows the geographic impact of Daisuke Kudo'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 Kudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Kudo more than expected).
Fields of papers citing papers by Daisuke Kudo
This network shows the impact of papers produced by Daisuke Kudo. 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 Kudo. The network helps show where Daisuke Kudo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Kudo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 116 | |
| 2 | 2016 | 100 | |
| 3 | 2007 | 96 | |
| 4 | 2013 | 95 | |
| 5 | 2005 | 91 | |
| 6 | 2016 | 86 | |
| 7 | 2019 | 80 | |
| 8 | 2016 | 79 | |
| 9 | 2018 | 68 | |
| 10 | 2017 | 63 | |
| 11 | Gangliosides expressed by the renal cell carcinoma cell line SK-RC-45 are involved in tumor-induced apoptosis of T cells. | 2003 | 61 |
| 12 | 2021 | 60 | |
| 13 | 2004 | 53 | |
| 14 | 2017 | 52 | |
| 15 | 2014 | 49 | |
| 16 | 2004 | 44 | |
| 17 | 2017 | 42 | |
| 18 | 2018 | 39 | |
| 19 | 2002 | 39 | |
| 20 | 2016 | 39 |
About Daisuke Kudo
Daisuke Kudo is a scholar working on Surgery, Epidemiology, Oncology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 170 papers that have together received 2.6k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (22 papers), Pancreatic and Hepatic Oncology Research (11 papers), Proteoglycans and glycosaminoglycans research (10 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (9 papers), Cardiac Arrest and Resuscitation (9 papers), Glycosylation and Glycoproteins Research (8 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (228 citations), Cell Biology (306 citations), Internal Medicine (54 citations), Immunology (330 citations) and Epidemiology (462 citations). Daisuke Kudo has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shigeki Kushimoto, Kenichi Hakamada, Kazuma Yamakawa, Mineji Hayakawa, Ikuko Kakizaki, Keiichi Takagaki, Noriko Miyagawa, Yu Kawazoe, Satoshi Yamanouchi and Shuichi Yoshihara. Their work appears in journals such as Critical Care, Journal of Critical Care, Journal of Intensive Care, HPB and Pancreatology.
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.