Anna N. Bukiya
-
- Neuroscience and Neuropharmacology Research 50
- Aging top 10%
-
- Cardiac electrophysiology and arrhythmias 19
- Molecular Biology top 10%
- Ion channel regulation and function 59
- Lipid Membrane Structure and Behavior 11
- Receptor Mechanisms and Signaling 10
- Sensory Systems top 5%
-
- Prenatal Substance Exposure Effects 10
-
- Nitric Oxide and Endothelin Effects 8
-
- Neuroinflammation and Neurodegeneration Mechanisms 8
- Co-authors
- Alex M. DopicoAlejandro M. DopicoA.K. SinghJianxi LiuAvia Rosenhouse‐DantskerThirumalini VaithianathanAbby L. ParrillLigia Toro
- Journals
- Biophysical Journal (11 papers)Advances in experimental medicine and biology (9 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Anna N. Bukiya
90 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 89
- Cellular and Molecular Neuroscience 707
- Aging 37
- Cardiology and Cardiovascular Medicine 382
- Molecular Biology 1.1k
- Sensory Systems 70
Countries citing papers authored by Anna N. Bukiya
This map shows the geographic impact of Anna N. Bukiya'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 Anna N. Bukiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna N. Bukiya more than expected).
Fields of papers citing papers by Anna N. Bukiya
This network shows the impact of papers produced by Anna N. Bukiya. 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 Anna N. Bukiya. The network helps show where Anna N. Bukiya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna N. Bukiya, 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 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 17 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 0 | |
| 10 | 2017 | 30 | |
| 11 | 2017 | 29 | |
| 12 | 2017 | 11 | |
| 13 | 2016 | 13 | |
| 14 | 2015 | 1 | |
| 15 | 2015 | 22 | |
| 16 | 2014 | 38 | |
| 17 | 2013 | 1 | |
| 18 | 2011 | 1 | |
| 19 | 2009 | 2 | |
| 20 | 2008 | 8 |
About Anna N. Bukiya
Anna N. Bukiya is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology, having authored 93 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ion channel regulation and function (59 papers), Neuroscience and Neuropharmacology Research (50 papers), Cardiac electrophysiology and arrhythmias (19 papers), Lipid Membrane Structure and Behavior (11 papers), Prenatal Substance Exposure Effects (10 papers), Receptor Mechanisms and Signaling (10 papers), Nitric Oxide and Endothelin Effects (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (707 citations), Aging (37 citations) and Cardiology and Cardiovascular Medicine (382 citations). Anna N. Bukiya has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Alex M. Dopico, Alejandro M. Dopico, A.K. Singh, Jianxi Liu, Avia Rosenhouse‐Dantsker, Thirumalini Vaithianathan, Abby L. Parrill, Ligia Toro, Jonathan H. Jaggar and Scott D. Rychnovsky. Their work appears in journals such as Biophysical Journal, Advances in experimental medicine and biology, Journal of Biological Chemistry, Molecular Pharmacology and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.
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.