Daisuke Iitaka

663 citations
23 papers · 548 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Extracellular vesicles in disease

Papers in

Daisuke Iitaka

22 papers receiving 542 citations

Peers

Daisuke Iitaka
Comparison fields: 5 of 68
  • Cancer Research 275
  • Molecular Biology 385
  • Neurology 26
  • Pulmonary and Respiratory Medicine 90
  • Oncology 70
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Citations per field
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Citations per year

Countries citing papers authored by Daisuke Iitaka

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Iitaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011218
2 201341
3 201235
4 201334
5 201530
6 201426
7 201126
8 201223
9 201218
10
Anti-phosphohistone H3 as an independent prognostic factor in human esophageal squamous cell carcinoma.
201317
11 201216
12 201815
13 201710
14
Prognostic significance of p21 expression in patients with esophageal squamous cell carcinoma.
201310
15 20128
16 20117
17 20226
18
[Impact of the Age-Adjusted Charlson Comorbidity Index on Postoperative Complications after Gastric Cancer Surgery].
20213
19 20242
20 20211

About Daisuke Iitaka

Daisuke Iitaka is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 23 papers that have together received 548 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (5 papers), Gastric Cancer Management and Outcomes (5 papers), Gastrointestinal Tumor Research and Treatment (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer-related Molecular Pathways (3 papers), RNA modifications and cancer (3 papers), Metastasis and carcinoma case studies (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (275 citations), Molecular Biology (385 citations), Neurology (26 citations), Pulmonary and Respiratory Medicine (90 citations) and Oncology (70 citations). Daisuke Iitaka has collaborated with scholars based in Japan, Canada and Italy. Frequent co-authors include Atsushi Shiozaki, Hitoshi Fujiwara, Eigo Otsuji, Daisuke Ichikawa, Shuhei Komatsu, Kazuma Okamoto, Toshiyuki Kosuga, Hirotaka Konishi, Mingyao Liu and Hiroyuki Nagata. Their work appears in journals such as Esophagus, PLoS ONE, British Journal of Cancer, Medicine and Journal of Surgical Research.

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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