Yutaka Suehiro

4.9k total citations
144 papers, 3.5k citations indexed

About

Yutaka Suehiro is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yutaka Suehiro has authored 144 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 40 papers in Oncology and 30 papers in Cancer Research. Recurrent topics in Yutaka Suehiro's work include Epigenetics and DNA Methylation (21 papers), Cancer Genomics and Diagnostics (18 papers) and Genetic factors in colorectal cancer (11 papers). Yutaka Suehiro is often cited by papers focused on Epigenetics and DNA Methylation (21 papers), Cancer Genomics and Diagnostics (18 papers) and Genetic factors in colorectal cancer (11 papers). Yutaka Suehiro collaborates with scholars based in Japan, United States and Switzerland. Yutaka Suehiro's co-authors include Yuji Hinoda, Hiroshi Hirata, Naoko Okayama, Yuichiro Hamanaka, Shoichi Hazama, Rajvir Dahiya, Takahiro Yamasaki, Isao Sakaida, Masaaki Oka and Nobuyuki Kikuno and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Scientific Reports.

In The Last Decade

Yutaka Suehiro

135 papers receiving 3.5k citations

Peers

Yutaka Suehiro
Comparison fields: 5 of 119
  • Molecular Biology 1.6k
  • Oncology 1.4k
  • Cancer Research 771
  • Immunology 628
  • Pulmonary and Respiratory Medicine 495
Replace Maija R.J. Kohonen‐Corish with:
Maija R.J. Kohonen‐Corish Australia
Márcio F. Chedid Brazil
Bhavna Kumar United States
Eberhard Gunsilius Austria
Martin Haas United States
Atsushi Kaneda Japan
Marie‐Pierre Buisine France
US Khoo Hong Kong
Julia Slotta‐Huspenina Germany
Pei Hui United States
Maija R.J. Kohonen‐Corish Australia View profile →
Citations per field, relative to Yutaka Suehiro
Yutaka Suehiro · 1×
Citations per year, relative to Yutaka Suehiro
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Countries citing papers authored by Yutaka Suehiro

Since Specialization
Citations

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

Fields of papers citing papers by Yutaka Suehiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutaka Suehiro

This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Suehiro. A scholar is included among the top collaborators of Yutaka Suehiro 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 Yutaka Suehiro. Yutaka Suehiro 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
# Work Indexed citations
1 5
2 2
3 7
4 15
5 6
6 23
7 67
8 26
9 20
10 6
11 128
12 9
13 32
14 0
15 1
16 1
17
0
18
Photodynamic Therapy (PDT) for Early Stage Cervical Cancer
2
19 0
20
Heterogeneous distribution of acidic TA-4 in cervical squamous cell carcinoma: immunohistochemical demonstration with monoclonal antibodies.
41

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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