Dmitri Kireev
Impact in
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- Computational Drug Discovery Methods
- Immunology top 10%
- Phagocytosis and Immune Regulation
Papers in
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- Epigenetics and DNA Methylation 13
- Genomics and Chromatin Dynamics 11
- Protein Degradation and Inhibitors 8
- Cancer-related gene regulation 8
- Protein Structure and Dynamics 6
- Ubiquitin and proteasome pathways 6
- Immunology 25
- Phagocytosis and Immune Regulation 20
- Co-authors
- Stephen V. Frye (41 shared papers)William P. Janzen (26 shared papers)C.H. Arrowsmith (8 shared papers)J. Martin Herold (10 shared papers)Xiaodong Wang (23 shared papers)Douglas K. Graham (21 shared papers)Deborah DeRyckere (21 shared papers)H. Shelton Earp (20 shared papers)
- Journals
- Journal of Medicinal Chemistry (13 papers)SLAS DISCOVERY (7 papers)Journal of the American Chemical Society (4 papers)ACS Chemical Biology (3 papers)European Journal of Medicinal Chemistry (3 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Dmitri Kireev
68 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 103
- Computational Theory and Mathematics 317
- Immunology 420
- Molecular Biology 1.3k
- Organic Chemistry 310
- Virology 48
Countries citing papers authored by Dmitri Kireev
This map shows the geographic impact of Dmitri Kireev'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 Dmitri Kireev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitri Kireev more than expected).
Fields of papers citing papers by Dmitri Kireev
This network shows the impact of papers produced by Dmitri Kireev. 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 Dmitri Kireev. The network helps show where Dmitri Kireev may publish in the future.
Co-authors
The 25 scholars most cited alongside Dmitri Kireev, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 189 | |
| 2 | 2013 | 130 | |
| 3 | 2014 | 118 | |
| 4 | 2014 | 114 | |
| 5 | 1992 | 98 | |
| 6 | 2019 | 92 | |
| 7 | 2011 | 92 | |
| 8 | 2012 | 66 | |
| 9 | 2009 | 65 | |
| 10 | 2016 | 61 | |
| 11 | 2013 | 55 | |
| 12 | 2013 | 55 | |
| 13 | 1997 | 51 | |
| 14 | 2013 | 47 | |
| 15 | 2019 | 42 | |
| 16 | 2013 | 40 | |
| 17 | 2016 | 38 | |
| 18 | 2010 | 38 | |
| 19 | 2012 | 31 | |
| 20 | 2023 | 31 |
About Dmitri Kireev
Dmitri Kireev is a scholar working on Molecular Biology, Immunology, Computational Theory and Mathematics, Organic Chemistry and Oncology, having authored 76 papers that have together received 2.0k indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (20 papers), Computational Drug Discovery Methods (14 papers), Epigenetics and DNA Methylation (13 papers), Genomics and Chromatin Dynamics (11 papers), Protein Degradation and Inhibitors (8 papers), Cancer-related gene regulation (8 papers), Protein Structure and Dynamics (6 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Computational Theory and Mathematics (317 citations), Immunology (420 citations), Molecular Biology (1.3k citations), Organic Chemistry (310 citations) and Virology (48 citations). Dmitri Kireev has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Stephen V. Frye, William P. Janzen, C.H. Arrowsmith, J. Martin Herold, Xiaodong Wang, Douglas K. Graham, Deborah DeRyckere, H. Shelton Earp, Michael A. Stashko and Jacqueline L. Norris. Their work appears in journals such as Journal of Medicinal Chemistry, SLAS DISCOVERY, Journal of the American Chemical Society, ACS Chemical Biology and European Journal of Medicinal Chemistry.
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.