S Sakiyama

1.4k citations
66 papers · 1.3k indexed · h-index 21
Topics
Cancer Research and Treatments (18 papers)Virus-based gene therapy research (16 papers)Cancer-related Molecular Pathways (10 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

S Sakiyama

65 papers receiving 1.3k citations

Peers

S Sakiyama
Comparison fields: 5 of 87
  • Molecular Biology 874
  • Oncology 378
  • Cancer Research 237
  • Genetics 175
  • Biotechnology 167
Replace Miguel Aracil with:
Miguel Aracil Spain
Brian C.‐S. Liu United States
Abha Saxena India
Patsy G. Oliver United States
Yusuke Nakamura Japan
Maria Zajac‐Kaye United States
Adi F. Gazdar United States
José Grenet United States
Martin L. Campbell United States
Jean Gudas United States
S Sakiyama relative to Miguel Aracil Spain Miguel Aracil's profile →
Citations per field
00.5×1.5×2.4×
Miguel Aracil · 1×
Citations per year

Countries citing papers authored by S Sakiyama

Since Specialization
Citations

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

Fields of papers citing papers by S Sakiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Sakiyama

This figure shows the co-authorship network connecting the top 25 collaborators of S Sakiyama. A scholar is included among the top collaborators of S Sakiyama 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 S Sakiyama. S Sakiyama 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 18
2 7
3 21
4 31
5 12
6 33
7 2
8 13
9 20
10 3
11
High levels of expression and nuclear localization of interleukin-1 beta converting enzyme (ICE) and CPP32 in favorable human neuroblastomas.
100
12 1
13 1
14 27
15 4
16 36
17 8
18 16
19 11
20 0

About S Sakiyama

S Sakiyama is a scholar working on Biotechnology, Oncology and Genetics, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Research and Treatments (18 papers), Virus-based gene therapy research (16 papers) and Cancer-related Molecular Pathways (10 papers). The work is most often cited by research in Biotechnology (167 citations), Cancer Research (237 citations) and Oncology (378 citations). S Sakiyama has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yohko Nakamura, Toshinori Ozaki, Keizo Takenaga, Akira Nakagawara, Takaki Hiwasa, Hajime Kageyama, Masatoshi Tagawa, Yoshie Hasegawa, H. Endo and Kenzo Tokunaga. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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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