Daisuke Wada

1.4k citations
61 papers · 1.2k · h-index 20

Impact in

Papers in

Daisuke Wada

54 papers receiving 1.1k citations

Peers

Daisuke Wada
Comparison fields: 5 of 117
  • Anesthesiology and Pain Medicine 181
  • Pharmacology 79
  • Aging 14
  • Developmental Neuroscience 29
  • Hepatology 52
Replace Brian D. Guth with:
Brian D. Guth Germany
Jeffrey R. Balser United States
Isabelle Denjoy France
Naoki Kotani Japan
Kirsten Leineweber Germany
Takashi Mori Japan
Steven M. Pogwizd United States
Jeremy D. Gale United States
Gan‐Xin Yan United States
Börje Darpö United States
Daisuke Wada relative to Brian D. Guth Germany Brian D. Guth's profile →
Citations per field
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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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008128
2 201192
3 200183
4 199779
5
Assessment of the biological malignancy of hepatocellular carcinoma: relationship to clinicopathological factors and prognosis.
199871
6 201261
7 200159
8 201454
9 199453
10 199548
11 199347
12 199839
13 201437
14
Clarification of risk factors for hepatectomy in patients with hepatocellular carcinoma.
200330
15 201429
16 201829
17 200528
18 200526
19 201823
20 200621

About Daisuke Wada

Daisuke Wada is a scholar working on Anesthesiology and Pain Medicine, Surgery, Oncology, Pulmonary and Respiratory Medicine and Hepatology, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Anesthesia and Sedative Agents (6 papers), Receptor Mechanisms and Signaling (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Advanced Control Systems Optimization (4 papers), Epilepsy research and treatment (3 papers), HER2/EGFR in Cancer Research (3 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (181 citations), Pharmacology (79 citations), Aging (14 citations), Developmental Neuroscience (29 citations) and Hepatology (52 citations). Daisuke Wada has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Jaap W. Mandema, Denham S. Ward, Sven Erik Björkman, Donald R. Stanski, David R. Drover, William F. Ebling, Hideyoshi Harashima, Sandra R. Harapat, Rebecca A. Boyd and Marc Pfister. Their work appears in journals such as Anesthesiology, Cancer Chemotherapy and Pharmacology, The Journal of Medical Investigation, Clinical Pharmacokinetics and Surgery Today.

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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