Chihiro Okada

2.8k citations
18 papers · 825 indexed · 1 hit paper · h-index 13

Impact in

  • Physiology top 10%
    • Adipose Tissue and Metabolism
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

Chihiro Okada

18 papers receiving 819 citations

Hit Papers

Identification of a mesenchymal progenitor cell hierarchy in adipose tissue 2019 · 427 citations
4272019202620212023100200300400

Peers

Chihiro Okada
Comparison fields: 5 of 72
  • Physiology 312
  • Genetics 83
  • Epidemiology 218
  • Molecular Biology 407
  • Cardiology and Cardiovascular Medicine 118
Replace Sandra De Barros with:
Sandra De Barros France
Anne‐Marie Jank Germany
Thomas H. Ambrosi United States
Nayra Cárdenes United States
Saleh Heneidi United States
Piera Filomena Fiore Italy
Mengshu Cao China
Toshihito Fujii Japan
Nicol Poncina Italy
Katharine E. Johnson Australia
Chihiro Okada relative to Sandra De Barros France Sandra De Barros's profile →
Citations per field
00.5×7.4×
Sandra De Barros · 1×
Citations per year

Countries citing papers authored by Chihiro Okada

Since Specialization
Citations

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

Fields of papers citing papers by Chihiro Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 20251
2 20241
3 20233
4 20221
5 202190
6 202080
7 202019
8 202021
9
Identification of a mesenchymal progenitor cell hierarchy in adipose tissue
Hit paper breakdown →
2019427
10 201914
11 201820
12 201720
13 201712
14 201725
15 201637
16 201623
17 20154
18 201527

About Chihiro Okada

Chihiro Okada is a scholar working on Neuropsychology and Physiological Psychology, Cancer Research, Reproductive Medicine, Immunology and Allergy and Molecular Biology, having authored 18 papers that have together received 825 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Renal and related cancers (4 papers), Cancer Genomics and Diagnostics (4 papers), Pancreatic function and diabetes (4 papers), Genetic factors in colorectal cancer (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Adipose Tissue and Metabolism (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Physiology (312 citations), Genetics (83 citations), Epidemiology (218 citations), Molecular Biology (407 citations) and Cardiology and Cardiovascular Medicine (118 citations). Chihiro Okada has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Alexander P. Sakers, Patrick Seale, David Merrick, Ivona Percec, Zhazira Irgebay, Catherine Calvert, Michael P. Morley, Akira Watanabe, Kenji Osafune and Tarō Toyoda. Their work appears in journals such as Scientific Reports, Cancer Medicine, Cancer Science, Differentiation 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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