Lyudmyla Koval
- Neurology top 5%
- Vagus Nerve Stimulation Research 6
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Biological Psychiatry top 10%
-
- Nicotinic Acetylcholine Receptors Study 17
- Receptor Mechanisms and Signaling 11
- Ion channel regulation and function 4
-
- Photoreceptor and optogenetics research 2
-
- Cholinesterase and Neurodegenerative Diseases 4
-
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Olena LykhmusMaryna SkokС. В. КомісаренкоOlena KalashnykGalyna GergalovaVictor I. TsetlinМ. Н. ЖмакElena V. Kryukova
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)Biochemical and Biophysical Research Communications (3 papers)
In The Last Decade
Lyudmyla Koval
20 papers receiving 608 citations
Peers
Comparison fields: 5 of 70
- Neurology 208
- Biological Psychiatry 48
- Developmental Neuroscience 35
- Molecular Biology 433
- Cellular and Molecular Neuroscience 109
Countries citing papers authored by Lyudmyla Koval
This map shows the geographic impact of Lyudmyla Koval'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 Lyudmyla Koval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lyudmyla Koval more than expected).
Fields of papers citing papers by Lyudmyla Koval
This network shows the impact of papers produced by Lyudmyla Koval. 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 Lyudmyla Koval. The network helps show where Lyudmyla Koval may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lyudmyla Koval, 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 | 4 | |
| 2 | 2023 | 7 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 9 | |
| 5 | 2021 | 16 | |
| 6 | 2020 | 4 | |
| 7 | 2019 | 41 | |
| 8 | 2019 | 9 | |
| 9 | 2018 | 16 | |
| 10 | 2017 | 21 | |
| 11 | 2016 | 4 | |
| 12 | 2016 | 64 | |
| 13 | 2015 | 49 | |
| 14 | 2014 | 67 | |
| 15 | 2012 | 130 | |
| 16 | 2011 | 13 | |
| 17 | 2011 | 22 | |
| 18 | 2010 | 76 | |
| 19 | 2009 | 34 | |
| 20 | 2007 | 26 |
About Lyudmyla Koval
Lyudmyla Koval is a scholar working on Neurology, Biological Psychiatry and Behavioral Neuroscience, having authored 20 papers that have together received 613 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (17 papers), Receptor Mechanisms and Signaling (11 papers), Vagus Nerve Stimulation Research (6 papers), Ion channel regulation and function (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Neurology (208 citations), Biological Psychiatry (48 citations) and Developmental Neuroscience (35 citations). Lyudmyla Koval has collaborated with scholars based in Ukraine, Russia and Greece. Frequent co-authors include Olena Lykhmus, Maryna Skok, С. В. Комісаренко, Olena Kalashnyk, Galyna Gergalova, Victor I. Tsetlin, М. Н. Жмак, Elena V. Kryukova, Marios Zouridakis and Socrates J. Tzartos. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemical and Biophysical Research Communications.
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.