A.G. Pavlovsky
Impact in
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
- Oncology top 10%
- Peptidase Inhibition and Analysis
Papers in
-
- Biochemical and Molecular Research 6
- RNA and protein synthesis mechanisms 5
- Signaling Pathways in Disease 4
-
- Enzyme Structure and Function 16
- Co-authors
- Ronald E. Viola (11 shared papers)Alla Gustchina (2 shared papers)Daniel F. Ortwine (7 shared papers)Xuying Liu (5 shared papers)Linda L. Johnson (5 shared papers)Ruslan Sanishvili (3 shared papers)Christine Humblet (4 shared papers)K. M. Polyakov (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of Medicinal Chemistry (4 papers)Journal of Biological Chemistry (4 papers)Biochemistry (3 papers)FEBS Letters (3 papers)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
A.G. Pavlovsky
39 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 342
- Oncology 363
- Hematology 149
- Molecular Biology 845
- Biotechnology 87
Countries citing papers authored by A.G. Pavlovsky
This map shows the geographic impact of A.G. Pavlovsky'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.G. Pavlovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.G. Pavlovsky more than expected).
Fields of papers citing papers by A.G. Pavlovsky
This network shows the impact of papers produced by A.G. Pavlovsky. 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.G. Pavlovsky. The network helps show where A.G. Pavlovsky may publish in the future.
Co-authors
The 25 scholars most cited alongside A.G. Pavlovsky, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 184 | |
| 2 | 2017 | 135 | |
| 3 | 1992 | 109 | |
| 4 | 1996 | 98 | |
| 5 | 2000 | 89 | |
| 6 | 2000 | 68 | |
| 7 | 1999 | 68 | |
| 8 | 1990 | 67 | |
| 9 | 2008 | 62 | |
| 10 | 1975 | 51 | |
| 11 | 2008 | 50 | |
| 12 | 2001 | 50 | |
| 13 | 2007 | 47 | |
| 14 | 1978 | 41 | |
| 15 | 1993 | 40 | |
| 16 | 1999 | 39 | |
| 17 | 2007 | 32 | |
| 18 | 2008 | 32 | |
| 19 | 2010 | 28 | |
| 20 | 2010 | 26 |
About A.G. Pavlovsky
A.G. Pavlovsky is a scholar working on Molecular Biology, Materials Chemistry, Oncology, Cancer Research and Organic Chemistry, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Enzyme Structure and Function (16 papers), Protease and Inhibitor Mechanisms (6 papers), Biochemical and Molecular Research (6 papers), Computational Drug Discovery Methods (5 papers), RNA and protein synthesis mechanisms (5 papers), Peptidase Inhibition and Analysis (5 papers), Signaling Pathways in Disease (4 papers) and Probiotics and Fermented Foods (4 papers). The work is most often cited by research in Cancer Research (342 citations), Oncology (363 citations), Hematology (149 citations), Molecular Biology (845 citations) and Biotechnology (87 citations). A.G. Pavlovsky has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Ronald E. Viola, Alla Gustchina, Daniel F. Ortwine, Xuying Liu, Linda L. Johnson, Ruslan Sanishvili, Christine Humblet, K. M. Polyakov, Richard D. Dyer and Donald Hupe. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of Biological Chemistry, Biochemistry and FEBS Letters.
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.