Yuko Iida

890 citations
48 papers · 647 · h-index 14

Impact in

Papers in

    • Lung Cancer Treatments and Mutations 6
    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 3
    • Lung Cancer Research Studies 9
    • Cancer Immunotherapy and Biomarkers 3

Yuko Iida

45 papers receiving 635 citations

Peers

Yuko Iida
Comparison fields: 5 of 96
  • Anesthesiology and Pain Medicine 56
  • Psychiatry and Mental health 115
  • Cellular and Molecular Neuroscience 108
  • Physiology 149
  • Cancer Research 77
Replace Idy H. T. Ho with:
Idy H. T. Ho Hong Kong
Lan He China
Cindy Bandala Mexico
Wenqiang Cui China
Danijela Kolenc Croatia
Zhiwen Zhang China
Subrata Basu Ray India
Qingjun Li China
Jane Hsiao United States
Yuko Iida relative to Idy H. T. Ho Hong Kong Idy H. T. Ho's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yuko Iida

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002146
2 202065
3 200850
4 200644
5 202239
6 200327
7 200726
8 201525
9 200325
10 201922
11 200817
12 201515
13 199114
14 201813
15 202212
16 198911
17 201410
18 200110
19 20146
20 20096

About Yuko Iida

Yuko Iida is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Epidemiology and Physiology, having authored 48 papers that have together received 647 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (9 papers), Neuroendocrine Tumor Research Advances (8 papers), Lung Cancer Treatments and Mutations (6 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers), Pain Mechanisms and Treatments (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Pain Management and Opioid Use (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (56 citations), Psychiatry and Mental health (115 citations), Cellular and Molecular Neuroscience (108 citations), Physiology (149 citations) and Cancer Research (77 citations). Yuko Iida has collaborated with scholars based in Japan, Indonesia and China. Frequent co-authors include Yasushi Kuraishi, Hiroshi Nojima, Ikuo Saiki, Jun Murata, Takashi Sasamura, Hideki Fujii, Shigenobu Nakamura, Tetsuo Shimizu, Yasuhiro Gon and Shuichiro Maruoka. Their work appears in journals such as Journal of Thoracic Oncology, Biological and Pharmaceutical Bulletin, Prostaglandins Leukotrienes and Essential Fatty Acids, Scientific Reports and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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