П. С. Деменков
- Co-authors
- В. А. ИванисенкоTimofey IvanisenkoН. А. КолчановOlga SaikEvgeny TiysNikita V. IvanisenkoС. Е. ТитовMikhail Ivanov
- Topics
- Bioinformatics and Genomic Networks (16 papers)Biomedical Text Mining and Ontologies (9 papers)Gut microbiota and health (6 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- RussiaGermanyUnited States
In The Last Decade
П. С. Деменков
68 papers receiving 658 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 433
- Genetics 84
- Plant Science 70
- Endocrinology, Diabetes and Metabolism 64
- Cancer Research 64
Countries citing papers authored by П. С. Деменков
This map shows the geographic impact of П. С. Деменков'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 П. С. Деменков with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites П. С. Деменков more than expected).
Fields of papers citing papers by П. С. Деменков
This network shows the impact of papers produced by П. С. Деменков. 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 П. С. Деменков. The network helps show where П. С. Деменков may publish in the future.
Co-authorship network of co-authors of П. С. Деменков
This figure shows the co-authorship network connecting the top 25 collaborators of П. С. Деменков. A scholar is included among the top collaborators of П. С. Деменков 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 П. С. Деменков. П. С. Деменков is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 26 | |
| 15 | 4 | |
| 16 | 6 | |
| 17 | Molecular associations of Primary Open-Angle Glaucoma with potential comorbid diseases (POAG-associome) | 3 |
| 18 | Asociaciones moleculares del glaucoma primario de ángulo abierto (POAG) con enfermedades comórbidas potenciales (asocioma de POAG) | 1 |
| 19 | ICGenomics: A PROGRAM COMPLEX FOR ANALYSIS OF SYMBOL SEQUENCES IN GENOMICS | 5 |
| 20 | 5 |
About П. С. Деменков
П. С. Деменков is a scholar working on Biological Psychiatry, Health Informatics and Molecular Biology, having authored 77 papers that have together received 674 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (16 papers), Biomedical Text Mining and Ontologies (9 papers) and Gut microbiota and health (6 papers). The work is most often cited by research in Molecular Biology (433 citations), Biological Psychiatry (12 citations) and Cancer Research (64 citations). П. С. Деменков has collaborated with scholars based in Russia, Germany and United States. Frequent co-authors include В. А. Иванисенко, Timofey Ivanisenko, Н. А. Колчанов, Olga Saik, Evgeny Tiys, Nikita V. Ivanisenko, С. Е. Титов, Mikhail Ivanov, Inna N. Lavrik and E. Yu. Bragina. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.
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.