Vera Hapiak
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
- Aging 21
- Genetics, Aging, and Longevity in Model Organisms 21
-
- Circadian rhythm and melatonin 17
- Co-authors
- Richard Komuniecki (17 shared papers)Patricia R. Komuniecki (6 shared papers)Robert J. Hobson (6 shared papers)Gareth Harris (8 shared papers)Rachel T. Wragg (5 shared papers)Hong Xiao (4 shared papers)Sarah Miller (3 shared papers)Elizabeth Rex (3 shared papers)
- Journals
- Journal of Neuroscience (5 papers)Genetics (3 papers)PLoS ONE (2 papers)Developmental Biology (2 papers)Journal of Neurochemistry (2 papers)
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
Vera Hapiak
23 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 76
- Aging 762
- Endocrine and Autonomic Systems 557
- Cellular and Molecular Neuroscience 295
- Biological Psychiatry 31
- Sensory Systems 46
Countries citing papers authored by Vera Hapiak
This map shows the geographic impact of Vera Hapiak'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 Vera Hapiak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vera Hapiak more than expected).
Fields of papers citing papers by Vera Hapiak
This network shows the impact of papers produced by Vera Hapiak. 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 Vera Hapiak. The network helps show where Vera Hapiak may publish in the future.
Co-authors
The 25 scholars most cited alongside Vera Hapiak, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 131 | |
| 2 | 2007 | 102 | |
| 3 | 2009 | 85 | |
| 4 | 2011 | 71 | |
| 5 | 2010 | 67 | |
| 6 | 2008 | 59 | |
| 7 | 2016 | 58 | |
| 8 | 2004 | 55 | |
| 9 | 2004 | 49 | |
| 10 | 2005 | 46 | |
| 11 | 2010 | 44 | |
| 12 | 2011 | 44 | |
| 13 | 2017 | 39 | |
| 14 | 2003 | 35 | |
| 15 | 2013 | 34 | |
| 16 | 2006 | 31 | |
| 17 | 2011 | 27 | |
| 18 | 2016 | 23 | |
| 19 | 2015 | 22 | |
| 20 | 2014 | 19 |
About Vera Hapiak
Vera Hapiak is a scholar working on Aging, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Social Psychology and Insect Science, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (21 papers), Circadian rhythm and melatonin (17 papers), Neuroendocrine regulation and behavior (6 papers), Insect Utilization and Effects (3 papers), Neurobiology and Insect Physiology Research (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Parasites and Host Interactions (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Aging (762 citations), Endocrine and Autonomic Systems (557 citations), Cellular and Molecular Neuroscience (295 citations), Biological Psychiatry (31 citations) and Sensory Systems (46 citations). Vera Hapiak has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Richard Komuniecki, Patricia R. Komuniecki, Robert J. Hobson, Gareth Harris, Rachel T. Wragg, Hong Xiao, Sarah Miller, Elizabeth Rex, Bruce A. Bamber and Philip Summers. Their work appears in journals such as Journal of Neuroscience, Genetics, PLoS ONE, Developmental Biology and Journal of Neurochemistry.
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.