Shinya Imada

1.7k citations
31 papers · 769 · h-index 14

Impact in

    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Cancer, Hypoxia, and Metabolism

Papers in

Shinya Imada

27 papers receiving 763 citations

Peers

Shinya Imada
Comparison fields: 5 of 86
  • Oncology 186
  • Cancer Research 84
  • Molecular Biology 339
  • Developmental Neuroscience 19
  • Immunology 86
Replace Gen Itoh with:
Gen Itoh Japan
Stamatia Papoutsopoulou United Kingdom
Qi‐Shun Sun China
Fons K. Verheyen Netherlands
Chiara Elia Italy
Rafael S. Czepielewski United States
Shinya Amano Japan
Sanja Petrusevska-Marinkovic United States
Shinya Imada relative to Gen Itoh Japan Gen Itoh's profile →
Citations per field
00.5×10×20×30×39.3×
Gen Itoh · 1×
Citations per year

Countries citing papers authored by Shinya Imada

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Imada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016217
2 2021132
3 202264
4 202454
5 201244
6 202236
7 201529
8 201028
9 201622
10 201920
11 201417
12 201516
13 201316
14 201815
15 201110
16 20129
17 20189
18 20189
19 20126
20 20114

About Shinya Imada

Shinya Imada is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Pediatrics, Perinatology and Child Health, having authored 31 papers that have together received 769 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (3 papers), Cancer Cells and Metastasis (3 papers), Neonatal and fetal brain pathology (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Colorectal Cancer Surgical Treatments (2 papers), Abdominal Surgery and Complications (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Oncology (186 citations), Cancer Research (84 citations), Molecular Biology (339 citations), Developmental Neuroscience (19 citations) and Immunology (86 citations). Shinya Imada has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Takashi Matozaki, Takenori Kotani, Yoji Murata, Yasuyuki Saito, Tasuku Konno, Ömer Yılmaz, Naoya Hatano, Norihiro Goto, Masakazu Shinohara and Saori Goto. Their work appears in journals such as Nature Communications, Surgery Today, PLoS ONE, Biochemical and Biophysical Research Communications and Cell 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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