Ilya V. Pyko

862 citations
9 papers · 694 · h-index 9

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Wnt/β-catenin signaling in development and cancer 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Epigenetics and DNA Methylation 1
    • Ubiquitin and proteasome pathways 1
    • Angiogenesis and VEGF in Cancer 1
    • Cancer Mechanisms and Therapy 2

Ilya V. Pyko

9 papers receiving 686 citations

Peers

Ilya V. Pyko
Comparison fields: 5 of 79
  • Genetics 135
  • Cancer Research 127
  • Molecular Biology 354
  • Pulmonary and Respiratory Medicine 109
  • Oncology 93
Replace Linda Sleire with:
Linda Sleire Norway
Niyati Jhaveri United States
Fenghua Zhou China
Efstathios Boviatsis Greece
Shengping Yu China
Heiko Lemcke Germany
Brian Golbourn Canada
Kartik Angara United States
Julie Dwyer France
Jun-Kyum Kim South Korea
Ilya V. Pyko relative to Linda Sleire Norway Linda Sleire's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ilya V. Pyko

Since Specialization
Citations

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

Fields of papers citing papers by Ilya V. Pyko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ilya V. Pyko. 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 Ilya V. Pyko. The network helps show where Ilya V. Pyko may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2011182
2 2011142
3 2016134
4 201363
5 201246
6 200945
7 201442
8 202028
9
Bone marrow-derived stromal cells can express neuronal markers by DHA/GPR40 signaling.
201012

About Ilya V. Pyko

Ilya V. Pyko is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Cell Biology and Immunology, having authored 9 papers that have together received 694 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (2 papers), MicroRNA in disease regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Epigenetics and DNA Methylation (1 paper), Ubiquitin and proteasome pathways (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Photodynamic Therapy Research Studies (1 paper). The work is most often cited by research in Genetics (135 citations), Cancer Research (127 citations), Molecular Biology (354 citations), Pulmonary and Respiratory Medicine (109 citations) and Oncology (93 citations). Ilya V. Pyko has collaborated with scholars based in Japan, China and Bulgaria. Frequent co-authors include Mitsutoshi Nakada, Yutaka Hayashi, Jun‐ichiro Hamada, Lei Teng, Takuya Watanabe, Daisuke Kita, Toshinari Minamoto, Takuya Furuta, Takahiro Domoto and Takeo Shimasaki. Their work appears in journals such as Advances in experimental medicine and biology, Carcinogenesis, Cancers, Cancer Science and Hippocampus.

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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