Sadakatsu Ikeda

5.1k citations
63 papers · 3.5k indexed · 3 hit papers · h-index 24
Topics
Cancer Genomics and Diagnostics (20 papers)Lung Cancer Treatments and Mutations (14 papers)Cancer Immunotherapy and Biomarkers (8 papers)

In The Last Decade

Sadakatsu Ikeda

54 papers receiving 3.4k citations

Hit Papers

Epicardial progenitors contribute to the cardiomyocyte li...2007202620132019200820072017250500750

Peers

Sadakatsu Ikeda
Comparison fields: 5 of 111
  • Molecular Biology 2.3k
  • Cancer Research 1.3k
  • Pulmonary and Respiratory Medicine 627
  • Oncology 621
  • Surgery 539
Replace Maria Cristina Manara with:
Maria Cristina Manara Italy
Scott Potenta United States
Micheala A. Aldred United States
Evangelia Pardali Netherlands
Rosa Noguera Spain
Daizo Koinuma Japan
Saskia Pollefeyt Canada
Nathan Bucay United States
Ruth Ganß Australia
David J. Shields United States
Sadakatsu Ikeda relative to Maria Cristina Manara Italy Maria Cristina Manara's profile →
Citations per field
00.5×1.7×
Maria Cristina Manara · 1×
Citations per year

Countries citing papers authored by Sadakatsu Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Sadakatsu Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sadakatsu Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Sadakatsu Ikeda. A scholar is included among the top collaborators of Sadakatsu Ikeda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sadakatsu Ikeda. Sadakatsu Ikeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 0
5 7
6 2
7 9
8 36
9 51
10 89
11 3
12 28
13 0
14 33
15 51
16 12
17 17
18 52
19
Epicardial progenitors contribute to the cardiomyocyte lineage in the developing heartbreakdown →
764
20
[Squamous cell carcinoma and basal cell carcinoma].
5

About Sadakatsu Ikeda

Sadakatsu Ikeda is a scholar working on Cancer Research, Otorhinolaryngology and Oncology, having authored 63 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (20 papers), Lung Cancer Treatments and Mutations (14 papers) and Cancer Immunotherapy and Biomarkers (8 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (2.3k citations) and Oncology (621 citations). Sadakatsu Ikeda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Razelle Kurzrock, William T. Pu, Qing Ma, Sek Won Kong, Jun Lü, Todd R. Golub, Egbert Bisping, Satish Rajagopal, Burkert Pieske and Ibrahim J. Domian. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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