Dmitry Rykunov
Impact in
-
- Endometrial and Cervical Cancer Treatments
-
- Ovarian cancer diagnosis and treatment
Papers in
-
- Protein Structure and Dynamics 4
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Machine Learning in Bioinformatics 1
-
- Cancer Genomics and Diagnostics 2
- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- András Fiser (6 shared papers)Carlos Madrid-Aliste (2 shared papers)Boris Reva (3 shared papers)Edward Nieves (2 shared papers)Louis M. Weiss (2 shared papers)Ruth Hogue Angeletti (2 shared papers)Sandra Catalina Camacho (2 shared papers)John A. Martignetti (2 shared papers)
- Journals
- Cancer Research (1 paper)PLoS Medicine (1 paper)Analytical Chemistry (1 paper)Proteins Structure Function and Bioinformatics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesHungaryGermany
In The Last Decade
Dmitry Rykunov
11 papers receiving 299 citations
Peers
Comparison fields: 5 of 61
- Obstetrics and Gynecology 29
- Reproductive Medicine 30
- Cancer Research 51
- Parasitology 20
- Molecular Biology 196
Countries citing papers authored by Dmitry Rykunov
This map shows the geographic impact of Dmitry Rykunov'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 Dmitry Rykunov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Rykunov more than expected).
Fields of papers citing papers by Dmitry Rykunov
This network shows the impact of papers produced by Dmitry Rykunov. 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 Dmitry Rykunov. The network helps show where Dmitry Rykunov may publish in the future.
Co-authors
The 25 scholars most cited alongside Dmitry Rykunov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 69 | |
| 2 | 2010 | 65 | |
| 3 | 2007 | 52 | |
| 4 | 2008 | 32 | |
| 5 | 2008 | 26 | |
| 6 | 2009 | 19 | |
| 7 | 2009 | 15 | |
| 8 | 2016 | 14 | |
| 9 | 2008 | 8 | |
| 10 | 2021 | 1 | |
| 11 | 2017 | 1 |
About Dmitry Rykunov
Dmitry Rykunov is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Infectious Diseases and Political Science and International Relations, having authored 11 papers that have together received 302 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Cancer Genomics and Diagnostics (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Machine Learning in Bioinformatics (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Obstetrics and Gynecology (29 citations), Reproductive Medicine (30 citations), Cancer Research (51 citations), Parasitology (20 citations) and Molecular Biology (196 citations). Dmitry Rykunov has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include András Fiser, Carlos Madrid-Aliste, Boris Reva, Edward Nieves, Louis M. Weiss, Ruth Hogue Angeletti, Sandra Catalina Camacho, John A. Martignetti, Robert Sebra and Peter Dottino. Their work appears in journals such as Cancer Research, PLoS Medicine, Analytical Chemistry, Proteins Structure Function and Bioinformatics and BMC Bioinformatics.
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.