Daisuke Wada

52 papers receiving 970 citations

Peers

Daisuke Wada
Comparison fields: 5 of 115
  • Anesthesiology and Pain Medicine 193
  • Pharmacology 83
  • Hepatology 69
  • Aging 14
  • Physiology 171
Replace Satoshi Asai with:
Satoshi Asai Japan
Jeffrey R. Balser United States
Brian D. Guth Germany
William J. Mandel United States
Steven M. Pogwizd United States
Paul P. Leyssac Denmark
Shuzo Oshita Japan
Naoki Kotani Japan
Monette Cotreau United States
Daisuke Wada relative to Satoshi Asai Japan Satoshi Asai's profile →
Citations per field
00.5×5.2×
Satoshi Asai · 1×
Citations per year

Countries citing papers authored by Daisuke Wada

Since Specialization
Citations

This map shows the geographic impact of Daisuke Wada'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 Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Wada more than expected).

Fields of papers citing papers by Daisuke Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daisuke Wada. 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 Wada. The network helps show where Daisuke Wada may publish in the future.

Co-authors

The 25 scholars most cited alongside Daisuke Wada, 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 Wada Line = papers co-authored together Daisuke Wada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008117
2 200179
3
Assessment of the biological malignancy of hepatocellular carcinoma: relationship to clinicopathological factors and prognosis.
199868
4 199763
5 200159
6 199450
7 201250
8 201449
9 199346
10 199544
11 201434
12
Clarification of risk factors for hepatectomy in patients with hepatocellular carcinoma.
200330
13 199829
14 200527
15 201827
16 201426
17 200522
18 201820
19 200618
20 201717

About Daisuke Wada

Daisuke Wada is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Anesthesiology and Pain Medicine and Molecular Biology, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Anesthesia and Sedative Agents (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Receptor Mechanisms and Signaling (5 papers), Advanced Control Systems Optimization (4 papers), HER2/EGFR in Cancer Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Epilepsy research and treatment (4 papers) and Hemodynamic Monitoring and Therapy (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (193 citations), Pharmacology (83 citations), Hepatology (69 citations), Aging (14 citations) and Physiology (171 citations). Daisuke Wada has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Denham S. Ward, Sven Björkman, Donald R. Stanski, Jaap W. Mandema, David R. Drover, William F. Ebling, Hideyoshi Harashima, Sandra R. Harapat, Göran Benoni and Martin S. Angst. Their work appears in journals such as Anesthesiology, Cancer Chemotherapy and Pharmacology, Surgery Today, IEEE Transactions on Biomedical Engineering and The Journal of Medical Investigation.

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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