Pavel P. Khil
- Molecular Medicine top 2%
- Genetics top 2%
- Bacterial Genetics and Biotechnology 7
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 6
- Endocrinology top 5%
- Molecular Biology top 5%
- DNA Repair Mechanisms 12
- Genomics and Chromatin Dynamics 10
- Genomics and Phylogenetic Studies 8
- CRISPR and Genetic Engineering 8
- RNA and protein synthesis mechanisms 8
- Plant Science top 5%
- Chromosomal and Genetic Variations 10
- Co-authors
- R. Daniel Camerini‐OteroFátima SmagulovaGalina PetukhovaKevin BrickN. A. SmirnovaPeter RomanienkoIvan V. GregorettiJohn P. Dekker
- Partner nations
- United StatesRussiaFrance
In The Last Decade
Pavel P. Khil
42 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 112
- Molecular Medicine 268
- Genetics 902
- Endocrinology 139
- Molecular Biology 1.8k
- Plant Science 670
Countries citing papers authored by Pavel P. Khil
This map shows the geographic impact of Pavel P. Khil'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 Pavel P. Khil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel P. Khil more than expected).
Fields of papers citing papers by Pavel P. Khil
This network shows the impact of papers produced by Pavel P. Khil. 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 Pavel P. Khil. The network helps show where Pavel P. Khil may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pavel P. Khil, 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 | 2025 | 0 | |
| 2 | 2022 | 11 | |
| 3 | 2021 | 11 | |
| 4 | 2020 | 7 | |
| 5 | 2019 | 54 | |
| 6 | 2019 | 1 | |
| 7 | 2018 | 22 | |
| 8 | 2018 | 141 | |
| 9 | 2018 | 6 | |
| 10 | 2016 | 54 | |
| 11 | 2012 | 87 | |
| 12 | Predicting DNA sequence motifs of recombination hotspots by integrative visualization and analysis | 2012 | 3 |
| 13 | 2012 | 302 | |
| 14 | 2005 | 8 | |
| 15 | 2004 | 29 | |
| 16 | 2004 | 246 | |
| 17 | 2003 | 41 | |
| 18 | 2003 | 28 | |
| 19 | 2002 | 197 | |
| 20 | 1998 | 56 |
About Pavel P. Khil
Pavel P. Khil is a scholar working on Molecular Medicine, Genetics and Molecular Biology, having authored 44 papers that have together received 2.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (12 papers), Chromosomal and Genetic Variations (10 papers), Genomics and Chromatin Dynamics (10 papers), Genomics and Phylogenetic Studies (8 papers), CRISPR and Genetic Engineering (8 papers), RNA and protein synthesis mechanisms (8 papers), Bacterial Genetics and Biotechnology (7 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). The work is most often cited by research in Molecular Medicine (268 citations), Genetics (902 citations) and Endocrinology (139 citations). Pavel P. Khil has collaborated with scholars based in United States, Russia and France. Frequent co-authors include R. Daniel Camerini‐Otero, Fátima Smagulova, Galina Petukhova, Kevin Brick, N. A. Smirnova, Peter Romanienko, Ivan V. Gregoretti, John P. Dekker, Karen M. Frank and Florencia Pratto. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Nature, mBio, Nature Communications and Nucleic Acids Research.
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.