Vera Hapiak

1.4k total citations
23 papers, 1.0k citations indexed

About

Vera Hapiak is a scholar working on Aging, Endocrine and Autonomic Systems and Social Psychology. According to data from OpenAlex, Vera Hapiak has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Aging, 18 papers in Endocrine and Autonomic Systems and 7 papers in Social Psychology. Recurrent topics in Vera Hapiak's work include Genetics, Aging, and Longevity in Model Organisms (21 papers), Circadian rhythm and melatonin (18 papers) and Neuroendocrine regulation and behavior (7 papers). Vera Hapiak is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (21 papers), Circadian rhythm and melatonin (18 papers) and Neuroendocrine regulation and behavior (7 papers). Vera Hapiak collaborates with scholars based in United States, United Kingdom and Ireland. Vera Hapiak's 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 and has published in prestigious journals such as Neuron, Journal of Neuroscience and The EMBO Journal.

In The Last Decade

Vera Hapiak

23 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vera Hapiak United States 19 741 574 287 199 146 23 1.0k
Daniel L. Chase United States 11 706 1.0× 487 0.8× 213 0.7× 237 1.2× 105 0.7× 15 995
Masahiro Tomioka Japan 15 720 1.0× 529 0.9× 189 0.7× 260 1.3× 83 0.6× 25 958
Curtis M. Loer United States 12 592 0.8× 366 0.6× 210 0.7× 231 1.2× 72 0.5× 24 851
Erin L. Peckol United States 7 580 0.8× 417 0.7× 365 1.3× 269 1.4× 56 0.4× 7 946
Hirofumi Kunitomo Japan 21 775 1.0× 526 0.9× 262 0.9× 651 3.3× 79 0.5× 32 1.4k
William C. Spencer United States 14 732 1.0× 404 0.7× 281 1.0× 487 2.4× 45 0.3× 15 1.1k
Marina Ezcurra United Kingdom 16 696 0.9× 426 0.7× 152 0.5× 238 1.2× 47 0.3× 26 927
Carol Trent United States 10 1.2k 1.6× 632 1.1× 217 0.8× 497 2.5× 94 0.6× 10 1.5k
Candida Rogers United Kingdom 8 420 0.6× 305 0.5× 172 0.6× 128 0.6× 80 0.5× 9 652
Michael M. Francis United States 23 519 0.7× 318 0.6× 543 1.9× 623 3.1× 74 0.5× 40 1.2k

Countries citing papers authored by Vera Hapiak

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Vera Hapiak

This figure shows the co-authorship network connecting the top 25 collaborators of Vera Hapiak. A scholar is included among the top collaborators of Vera Hapiak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vera Hapiak. Vera Hapiak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shi, Xiaojun, Vera Hapiak, Ji Zheng, et al.. (2017). SAM Domain Inhibits Oligomerization and Auto-Activation of EphA2 Kinase. Biophysical Journal. 112(3). 27a–27a. 1 indexed citations
2.
Shi, Xiaojun, et al.. (2017). A role of the SAM domain in EphA2 receptor activation. Scientific Reports. 7(1). 45084–45084. 39 indexed citations
3.
Hapiak, Vera, et al.. (2016). Opiates Modulate Noxious Chemical Nociception through a Complex Monoaminergic/Peptidergic Cascade. Journal of Neuroscience. 36(20). 5498–5508. 23 indexed citations
4.
Takeishi, Asuka, Yanxun V. Yu, Vera Hapiak, et al.. (2016). Receptor-type Guanylyl Cyclases Confer Thermosensory Responses in C. elegans. Neuron. 90(2). 235–244. 55 indexed citations
5.
Wuescher, Leah M., et al.. (2015). Heterologous Expression in Remodeled C. elegans: A Platform for Monoaminergic Agonist Identification and Anthelmintic Screening. PLoS Pathogens. 11(4). e1004794–e1004794. 21 indexed citations
6.
Komuniecki, Richard, Vera Hapiak, Gareth Harris, & Bruce A. Bamber. (2014). Context-dependent modulation reconfigures interactive sensory-mediated microcircuits in Caenorhabditis elegans. Current Opinion in Neurobiology. 29. 17–24. 18 indexed citations
7.
Hapiak, Vera, et al.. (2013). Neuropeptides Amplify and Focus the Monoaminergic Inhibition of Nociception in Caenorhabditis elegans. Journal of Neuroscience. 33(35). 14107–14116. 33 indexed citations
8.
9.
Wragg, Rachel T., Vera Hapiak, Michelle L. Castelletto, et al.. (2011). Monoamines and neuropeptides interact to inhibit aversive behaviour in Caenorhabditis elegans. The EMBO Journal. 31(3). 667–678. 69 indexed citations
10.
Harris, Gareth, et al.. (2011). Monoamines activate neuropeptide signaling cascades to modulate nociception in C. elegans: a useful model for the modulation of chronic pain?. Invertebrate Neuroscience. 12(1). 53–61. 25 indexed citations
11.
Harris, Gareth, Philip Summers, Vera Hapiak, et al.. (2011). Dissecting the Serotonergic Food Signal Stimulating Sensory-Mediated Aversive Behavior in C. elegans. PLoS ONE. 6(7). e21897–e21897. 44 indexed citations
12.
Harris, Mark, et al.. (2010). The Monoaminergic Modulation of Sensory-Mediated Aversive Responses in Caenorhabditis elegans Requires Glutamatergic/Peptidergic Cotransmission. Journal of Neuroscience. 30(23). 7889–7899. 65 indexed citations
13.
Miller, Sarah, et al.. (2010). A Genetic Survey of Fluoxetine Action on Synaptic Transmission in Caenorhabditis elegans. Genetics. 186(3). 929–941. 43 indexed citations
14.
Harris, Gareth, Vera Hapiak, Rachel T. Wragg, et al.. (2009). Three Distinct Amine Receptors Operating at Different Levels within the Locomotory Circuit Are Each Essential for the Serotonergic Modulation of Chemosensation inCaenorhabditis elegans. Journal of Neuroscience. 29(5). 1446–1456. 79 indexed citations
15.
Wragg, Rachel T., Vera Hapiak, Sarah Miller, et al.. (2007). Tyramine and Octopamine Independently Inhibit Serotonin-Stimulated Aversive Behaviors inCaenorhabditis elegansthrough Two Novel Amine Receptors. Journal of Neuroscience. 27(49). 13402–13412. 99 indexed citations
16.
17.
Hobson, Robert J., et al.. (2005). SER-7, aCaenorhabditis elegans5-HT7-like Receptor, Is Essential for the 5-HT Stimulation of Pharyngeal Pumping and Egg Laying. Genetics. 172(1). 159–169. 126 indexed citations
18.
Rex, Elizabeth, et al.. (2005). TYRA‐2 (F01E11.5): a Caenorhabditis elegans tyramine receptor expressed in the MC and NSM pharyngeal neurons. Journal of Neurochemistry. 94(1). 181–191. 45 indexed citations
19.
Rex, Elizabeth, et al.. (2004). Tyramine receptor (SER‐2) isoforms are involved in the regulation of pharyngeal pumping and foraging behavior in Caenorhabditis elegans. Journal of Neurochemistry. 91(5). 1104–1115. 47 indexed citations
20.
Hapiak, Vera, et al.. (2003). Mua-6, a gene required for tissue integrity in Caenorhabditis elegans, encodes a cytoplasmic intermediate filament. Developmental Biology. 263(2). 330–342. 35 indexed citations

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.

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