Vladimir Saenko
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 5%
- Oncology top 2%
- Cancer Research top 2%
- Genetics top 5%
- Co-authors
- Shunichi YamashitaNorisato MitsutakeHiroyuki NambaTatiana RogounovitchAkira OhtsuruMasahiro NakashimaTomayoshi HayashiMichiko Matsuse
- Topics
- Thyroid Cancer Diagnosis and Treatment (75 papers)Cancer-related Molecular Pathways (39 papers)Radiation Dose and Imaging (18 papers)
In The Last Decade
Vladimir Saenko
127 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 151
- Endocrinology, Diabetes and Metabolism 2.2k
- Molecular Biology 1.8k
- Oncology 1.1k
- Cancer Research 757
- Genetics 663
Countries citing papers authored by Vladimir Saenko
This map shows the geographic impact of Vladimir Saenko'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 Vladimir Saenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Saenko more than expected).
Fields of papers citing papers by Vladimir Saenko
This network shows the impact of papers produced by Vladimir Saenko. 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 Vladimir Saenko. The network helps show where Vladimir Saenko may publish in the future.
Co-authorship network of co-authors of Vladimir Saenko
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Saenko. A scholar is included among the top collaborators of Vladimir Saenko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vladimir Saenko. Vladimir Saenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 2 | |
| 3 | 19 | |
| 4 | 7 | |
| 5 | 15 | |
| 6 | 22 | |
| 7 | 46 | |
| 8 | 47 | |
| 9 | 25 | |
| 10 | Age and gender patterns of thyroid cancer incidence in Ukraine depending on thyroid radiation doses from radioactive iodine exposure after the Chornobyl NPP accident. | 8 |
| 11 | 8 | |
| 12 | 20 | |
| 13 | 26 | |
| 14 | TP53 Arg72Pro and CCND1 A870G Polymorphisms and Esophageal Cancer Risk | 3 |
| 15 | 188 | |
| 16 | 26 | |
| 17 | 19 | |
| 18 | 37 | |
| 19 | 12 | |
| 20 | 70 |
About Vladimir Saenko
Vladimir Saenko is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 131 papers that have together received 4.6k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (75 papers), Cancer-related Molecular Pathways (39 papers) and Radiation Dose and Imaging (18 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.2k citations), Cancer Research (757 citations) and Oncology (1.1k citations). Vladimir Saenko has collaborated with scholars based in Japan, Russia and Ukraine. Frequent co-authors include Shunichi Yamashita, Norisato Mitsutake, Hiroyuki Namba, Tatiana Rogounovitch, Akira Ohtsuru, Masahiro Nakashima, Tomayoshi Hayashi, Michiko Matsuse, Shigeto Maeda and Yuri E. Demidchik. Their work appears in journals such as The Journal of Experimental Medicine, PLoS ONE and Endocrine Reviews.
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.