Daisuke Kudo

4.5k citations
168 papers · 2.4k · h-index 28

Impact in

Papers in

    • Cholangiocarcinoma and Gallbladder Cancer Studies 12
    • Hemodynamic Monitoring and Therapy 11
    • Sepsis Diagnosis and Treatment 27

Daisuke Kudo

144 papers receiving 2.4k citations

Peers

Daisuke Kudo
Comparison fields: 5 of 134
  • Critical Care and Intensive Care Medicine 310
  • Internal Medicine 77
  • Emergency Medicine 195
  • Cell Biology 293
  • Immunology 375
Replace Sascha David with:
Sascha David Germany
Dirk de Korte Netherlands
Kai Singbartl United States
Nicole D. Zantek United States
Achim Jörres Germany
Tetsu Kobayashi Japan
F. W. Schildberg Germany
Ralph J. Panos United States
İbrahim C. Haznedaroğlu Türkiye
Naozumi Hashimoto Japan
Daisuke Kudo relative to Sascha David Germany Sascha David's profile →
Citations per field
00.5×2.9×
Sascha David · 1×
Citations per year

Countries citing papers authored by Daisuke Kudo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daisuke Kudo Line = papers co-authored together Daisuke Kudo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005112
2 201696
3 200793
4 201389
5 200588
6 201681
7 201679
8 201975
9 201862
10 201760
11
Gangliosides expressed by the renal cell carcinoma cell line SK-RC-45 are involved in tumor-induced apoptosis of T cells.
200358
12 200452
13 202152
14 201748
15 201742
16 200238
17 201637
18 201337
19 201837
20 200435

About Daisuke Kudo

Daisuke Kudo is a scholar working on Surgery, Epidemiology, Oncology, Pulmonary and Respiratory Medicine and Emergency Medicine, having authored 168 papers that have together received 2.4k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (27 papers), Pancreatic and Hepatic Oncology Research (16 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (13 papers), Cardiac Arrest and Resuscitation (13 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (12 papers), Hemodynamic Monitoring and Therapy (11 papers), Trauma and Emergency Care Studies (11 papers) and Glycosylation and Glycoproteins Research (9 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (310 citations), Internal Medicine (77 citations), Emergency Medicine (195 citations), Cell Biology (293 citations) and Immunology (375 citations). Daisuke Kudo has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shigeki Kushimoto, Kenichi Hakamada, Mineji Hayakawa, Kazuma Yamakawa, Ikuko Kakizaki, Keiichi Takagaki, Yu Kawazoe, Noriko Miyagawa, Shuichi Yoshihara and Satoshi Yamanouchi. Their work appears in journals such as Critical Care, Journal of Critical Care, Journal of Intensive Care, HPB and The Journal of Immunology.

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.

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