Hideyuki Abe

1.2k citations
66 papers · 975 · h-index 20

Impact in

  • Oncology top 10%
    • Lung Cancer Research Studies
    • Ear and Head Tumors
    • Cancer Genomics and Diagnostics

Papers in

Hideyuki Abe

61 papers receiving 955 citations

Peers

Hideyuki Abe
Comparison fields: 5 of 71
  • Oncology 314
  • Cancer Research 152
  • Pulmonary and Respiratory Medicine 294
  • Genetics 77
  • Oral Surgery 43
Replace Nicole Larrier with:
Nicole Larrier United States
Shioto Suzuki Japan
Sohail Balasubramanian United States
Émpar Mayordomo Spain
K.K. Ang United States
Tiziano Camacci Italy
Giovanna De Maglio Italy
Hong‐Ji Xu United States
P. Clouet France
Marcel Trautmann Germany
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Citations per field
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Citations per year

Countries citing papers authored by Hideyuki Abe

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201483
2 201159
3 201158
4 201257
5 201540
6 201339
7 201236
8 201332
9 202030
10 201828
11 201828
12 201527
13
Magnetic resonance imaging of small hepatocellular carcinoma.
199126
14 201725
15
Clinicopathological study of choroid plexus tumors: immunohistochemical features and evaluation of proliferative potential by PCNA and Ki-67 immunostaining.
199625
16 201824
17 201823
18 201523
19 201122
20 201721

About Hideyuki Abe

Hideyuki Abe is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Pathology and Forensic Medicine and Genetics, having authored 66 papers that have together received 975 indexed citations. Recurring topics across this work include Salivary Gland Tumors Diagnosis and Treatment (11 papers), Lung Cancer Treatments and Mutations (11 papers), Neuroendocrine Tumor Research Advances (7 papers), Ear and Head Tumors (5 papers), Glioma Diagnosis and Treatment (5 papers), Renal cell carcinoma treatment (5 papers), Lung Cancer Research Studies (4 papers) and Cancer Mechanisms and Therapy (4 papers). The work is most often cited by research in Oncology (314 citations), Cancer Research (152 citations), Pulmonary and Respiratory Medicine (294 citations), Genetics (77 citations) and Oral Surgery (43 citations). Hideyuki Abe has collaborated with scholars based in Japan, South Africa and New Zealand. Frequent co-authors include Akihiko Kawahara, Jun Akiba, Masayoshi Kage, Koichi Azuma, Tomohiko Yamaguchi, Tomoki Taira, Yûichi Murakami, Mayumi Ono, Michihiko Kuwano and Kosuke Watari. Their work appears in journals such as Diagnostic Cytopathology, Cytopathology, Cancer Cytopathology, Neuropathology and Medical Molecular Morphology.

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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