Daisuke Takada

923 citations
59 papers · 625 · h-index 16

Impact in

  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies
    • Dialysis and Renal Disease Management
  • Biochemistry top 10%
    • Eicosanoids and Hypertension Pharmacology

Papers in

    • Renal Diseases and Glomerulopathies 5
    • Dialysis and Renal Disease Management 4
    • COVID-19 and healthcare impacts 10

Daisuke Takada

53 papers receiving 608 citations

Peers

Daisuke Takada
Comparison fields: 5 of 110
  • Nephrology 72
  • Biochemistry 61
  • Endocrinology, Diabetes and Metabolism 122
  • Oncology 114
  • Emergency Medicine 32
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Citations per year

Countries citing papers authored by Daisuke Takada

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200370
2 200236
3 202133
4 202027
5 200327
6 201027
7 202126
8 201626
9 200625
10 200223
11 202122
12 202120
13 200320
14 202119
15 201619
16 201518
17 200315
18 200315
19 202114
20 202113

About Daisuke Takada

Daisuke Takada is a scholar working on Nephrology, Oncology, Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 59 papers that have together received 625 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (10 papers), Renal Diseases and Glomerulopathies (5 papers), Cholesterol and Lipid Metabolism (4 papers), Dialysis and Renal Disease Management (4 papers), Optical Coherence Tomography Applications (4 papers), Laser Material Processing Techniques (4 papers), Healthcare cost, quality, practices (4 papers) and Lipid metabolism and disorders (4 papers). The work is most often cited by research in Nephrology (72 citations), Biochemistry (61 citations), Endocrinology, Diabetes and Metabolism (122 citations), Oncology (114 citations) and Emergency Medicine (32 citations). Daisuke Takada has collaborated with scholars based in Japan and United States. Frequent co-authors include Susumu Kunisawa, Yuichi Imanaka, Jung‐ho Shin, Tetsuji Morishita, Yoichi Ezura, Mitsuru Emi, Yūkō Fujita, Susan Stephenson, Yasuhiko Iino and Lily Wu. Their work appears in journals such as PLoS ONE, Journal of Atherosclerosis and Thrombosis, Scientific Reports, BMC Nephrology and Clinical Journal of the American Society of Nephrology.

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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