Inessa A. Khmel
Impact in
- Endocrinology top 5%
- Microbiology top 5%
Papers in
-
- Vibrio bacteria research studies 8
- Genetics 28
- Bacterial Genetics and Biotechnology 27
- Co-authors
- Olga A. Koksharova (26 shared papers)Valentina A. Lipasova (29 shared papers)Victor A. Nadtochenko (16 shared papers)John T. Kiwi (7 shared papers)Vladimir A. Plyuta (22 shared papers)Leonid S. Chernin (19 shared papers)Marianna I. Ovadis (6 shared papers)Alexander Vainstein (3 shared papers)
- Journals
- Research in Microbiology (3 papers)Apmis (2 papers)BioMed Research International (2 papers)ACS Applied Materials & Interfaces (1 paper)Applied Catalysis B: Environmental (1 paper)
- Partner nations
- RussiaIsraelSwitzerland
In The Last Decade
Inessa A. Khmel
88 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 115
- Endocrinology 112
- Microbiology 119
- Molecular Medicine 76
- Plant Science 561
- Molecular Biology 878
Countries citing papers authored by Inessa A. Khmel
This map shows the geographic impact of Inessa A. Khmel'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 Inessa A. Khmel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inessa A. Khmel more than expected).
Fields of papers citing papers by Inessa A. Khmel
This network shows the impact of papers produced by Inessa A. Khmel. 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 Inessa A. Khmel. The network helps show where Inessa A. Khmel may publish in the future.
Co-authors
The 25 scholars most cited alongside Inessa A. Khmel, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 422 | |
| 2 | 2010 | 149 | |
| 3 | 2006 | 140 | |
| 4 | 2011 | 109 | |
| 5 | 2014 | 99 | |
| 6 | 2013 | 83 | |
| 7 | 2019 | 76 | |
| 8 | 1998 | 46 | |
| 9 | 2006 | 44 | |
| 10 | 2021 | 41 | |
| 11 | 1980 | 38 | |
| 12 | 2006 | 36 | |
| 13 | 2003 | 35 | |
| 14 | 2009 | 32 | |
| 15 | 2021 | 31 | |
| 16 | 2003 | 30 | |
| 17 | 2016 | 29 | |
| 18 | 1995 | 28 | |
| 19 | 2008 | 28 | |
| 20 | 2019 | 27 |
About Inessa A. Khmel
Inessa A. Khmel is a scholar working on Endocrinology, Genetics, Molecular Biology, Plant Science and Food Science, having authored 90 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (38 papers), Bacterial Genetics and Biotechnology (27 papers), Plant-Microbe Interactions and Immunity (13 papers), Nanoparticles: synthesis and applications (10 papers), Advanced Chemical Sensor Technologies (8 papers), Vibrio bacteria research studies (8 papers), Microbial Community Ecology and Physiology (7 papers) and Probiotics and Fermented Foods (7 papers). The work is most often cited by research in Endocrinology (112 citations), Microbiology (119 citations), Molecular Medicine (76 citations), Plant Science (561 citations) and Molecular Biology (878 citations). Inessa A. Khmel has collaborated with scholars based in Russia, Israel and Switzerland. Frequent co-authors include Olga A. Koksharova, Valentina A. Lipasova, Victor A. Nadtochenko, John T. Kiwi, Vladimir A. Plyuta, Leonid S. Chernin, Marianna I. Ovadis, Alexander Vainstein, Alexandra A. Popova and Anastasia Z. Metlitskaya. Their work appears in journals such as Research in Microbiology, Apmis, BioMed Research International, ACS Applied Materials & Interfaces and Applied Catalysis B: Environmental.
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.