Vladimir Saenko
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Thyroid Disorders and Treatments
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Thyroid Cancer Diagnosis and Treatment 77
- Oncology 39
- Cancer-related Molecular Pathways 28
- Co-authors
- Shunichi Yamashita (115 shared papers)Norisato Mitsutake (57 shared papers)Hiroyuki Namba (35 shared papers)Tatiana Rogounovitch (57 shared papers)Akira Ohtsuru (27 shared papers)Masahiro Nakashima (25 shared papers)Yuri E. Demidchik (13 shared papers)Tomayoshi Hayashi (8 shared papers)
In The Last Decade
Vladimir Saenko
141 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 156
- Endocrinology, Diabetes and Metabolism 2.3k
- Cancer Research 698
- Oncology 971
- Radiological and Ultrasound Technology 148
- Radiology, Nuclear Medicine and Imaging 580
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-authors
The 25 scholars most cited alongside Vladimir Saenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 480 | |
| 2 | 2006 | 223 | |
| 3 | 2007 | 203 | |
| 4 | 2006 | 203 | |
| 5 | 2010 | 202 | |
| 6 | 2008 | 202 | |
| 7 | 2010 | 138 | |
| 8 | 2004 | 128 | |
| 9 | 2011 | 126 | |
| 10 | 2012 | 121 | |
| 11 | 2007 | 110 | |
| 12 | 2006 | 105 | |
| 13 | 2009 | 87 | |
| 14 | 2005 | 85 | |
| 15 | 2004 | 77 | |
| 16 | 2004 | 77 | |
| 17 | 2017 | 77 | |
| 18 | 2007 | 75 | |
| 19 | 2011 | 75 | |
| 20 | 2003 | 74 |
About Vladimir Saenko
Vladimir Saenko is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Molecular Biology, having authored 147 papers that have together received 5.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (77 papers), Cancer-related Molecular Pathways (28 papers), Radiation Dose and Imaging (21 papers), Genetic factors in colorectal cancer (12 papers), BRCA gene mutations in cancer (10 papers), Radioactive contamination and transfer (10 papers), Effects of Radiation Exposure (8 papers) and Radioactivity and Radon Measurements (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Cancer Research (698 citations), Oncology (971 citations), Radiological and Ultrasound Technology (148 citations) and Radiology, Nuclear Medicine and Imaging (580 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, Yuri E. Demidchik, Tomayoshi Hayashi, Michiko Matsuse and Keiji Suzuki. Their work appears in journals such as Thyroid, The Journal of Clinical Endocrinology & Metabolism, PLoS ONE, Endocrinology and Frontiers in Endocrinology.
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.