Shioto Suzuki

2.1k citations
47 papers · 1.5k indexed · h-index 19
Topics
Lung Cancer Treatments and Mutations (6 papers)Multiple Myeloma Research and Treatments (5 papers)PI3K/AKT/mTOR signaling in cancer (5 papers)
Journals
SHILAP Revista de lepidopterologíaCancerScientific Reports
Partner nations
JapanSwedenIndia

In The Last Decade

Shioto Suzuki

47 papers receiving 1.5k citations

Peers

Shioto Suzuki
Comparison fields: 5 of 88
  • Oncology 763
  • Pulmonary and Respiratory Medicine 643
  • Molecular Biology 618
  • Surgery 468
  • Pathology and Forensic Medicine 211
Replace Yasuyuki Fukai with:
Yasuyuki Fukai Japan
Paola Casieri Italy
Yoshinari Ogawa Japan
Pierre Rudolph Germany
Hideya Takeuchi Japan
Yvonne M.H. Versleijen‐Jonkers Netherlands
Andrea T. Deyrup United States
Ettore Macrì Italy
Hui‐Lan Rao China
Adrian Murphy United States
Shioto Suzuki relative to Yasuyuki Fukai Japan Yasuyuki Fukai's profile →
Citations per field
00.5×1.6×
Yasuyuki Fukai · 1×
Citations per year

Countries citing papers authored by Shioto Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Shioto Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shioto Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Shioto Suzuki. A scholar is included among the top collaborators of Shioto Suzuki 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 Shioto Suzuki. Shioto Suzuki 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 1
2 4
3 14
4 2
5 11
6 4
7 19
8 6
9 5
10 15
11
Gene amplification of Myc and its coamplification with ERBB2 and EGFR in gallbladder adenocarcinoma.
26
12 62
13 3
14 44
15 250
16 196
17 15
18 29
19 64
20 12

About Shioto Suzuki

Shioto Suzuki is a scholar working on Hematology, Oncology and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Multiple Myeloma Research and Treatments (5 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). The work is most often cited by research in Oncology (763 citations), Pulmonary and Respiratory Medicine (643 citations) and Cancer Research (189 citations). Shioto Suzuki has collaborated with scholars based in Japan, Sweden and India. Frequent co-authors include Akishi Ooi, Yoh Dobashi, Mitsuhiko Hanawa, Yasuhisa Takeda, Koji Kono, Hideki Fujii, Tetsu Yamane, Kumiko Nakazawa, Nobuyuki Enomoto and Takuo Takehana. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer and Scientific Reports.

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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