A.N. Plotnikov
- Cell Biology top 0.5%
- Proteoglycans and glycosaminoglycans research 6
- Molecular Biology top 1%
- Protein Degradation and Inhibitors 10
- Fibroblast Growth Factor Research 7
- Histone Deacetylase Inhibitors Research 6
- Cancer-related gene regulation 6
- Genomics and Chromatin Dynamics 6
- Epigenetics and DNA Methylation 6
- Ubiquitin and proteasome pathways 5
- Geriatrics and Gerontology top 2%
- Hematology top 2%
- Aging top 5%
- Co-authors
- Moosa MohammadiJoseph SchlessingerRony SegerEldar ZehoraiStevan R. HubbardShiri ProcacciaAnna V. EliseenkovaOmar A. Ibrahimi
- Journals
- Proteins Structure Function and Bioinformatics (6 papers)Journal of Biological Chemistry (6 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
A.N. Plotnikov
73 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cell Biology 1.3k
- Molecular Biology 5.2k
- Geriatrics and Gerontology 199
- Hematology 362
- Aging 50
Countries citing papers authored by A.N. Plotnikov
This map shows the geographic impact of A.N. Plotnikov'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 A.N. Plotnikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.N. Plotnikov more than expected).
Fields of papers citing papers by A.N. Plotnikov
This network shows the impact of papers produced by A.N. Plotnikov. 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 A.N. Plotnikov. The network helps show where A.N. Plotnikov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A.N. Plotnikov, 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 | 2024 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2020 | 24 | |
| 4 | 2019 | 19 | |
| 5 | 2019 | 25 | |
| 6 | 2015 | 93 | |
| 7 | 2015 | 107 | |
| 8 | 2013 | 39 | |
| 9 | 2012 | 163 | |
| 10 | 2009 | 114 | |
| 11 | 2009 | 31 | |
| 12 | 2008 | 41 | |
| 13 | 2008 | 12 | |
| 14 | 2008 | 90 | |
| 15 | 2007 | 42 | |
| 16 | 2006 | 21 | |
| 17 | 2002 | 44 | |
| 18 | 2000 | 309 | |
| 19 | 1997 | 278 | |
| 20 | 1996 | 76 |
About A.N. Plotnikov
A.N. Plotnikov is a scholar working on Molecular Biology, Cell Biology, Virology, Cancer Research and Biochemistry, having authored 75 papers that have together received 6.7k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (10 papers), Fibroblast Growth Factor Research (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Cancer-related gene regulation (6 papers), Proteoglycans and glycosaminoglycans research (6 papers), Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (6 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Cell Biology (1.3k citations), Molecular Biology (5.2k citations), Geriatrics and Gerontology (199 citations), Hematology (362 citations) and Aging (50 citations). A.N. Plotnikov has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Moosa Mohammadi, Joseph Schlessinger, Rony Seger, Eldar Zehorai, Stevan R. Hubbard, Shiri Procaccia, Anna V. Eliseenkova, Omar A. Ibrahimi, Brian Yeh and Robert J. Linhardt. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and PLoS Biology.
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.