Ken Lukowiak

6.2k total citations
164 papers, 5.2k citations indexed

About

Ken Lukowiak is a scholar working on Cellular and Molecular Neuroscience, Ecology and Cognitive Neuroscience. According to data from OpenAlex, Ken Lukowiak has authored 164 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Cellular and Molecular Neuroscience, 51 papers in Ecology and 47 papers in Cognitive Neuroscience. Recurrent topics in Ken Lukowiak's work include Neurobiology and Insect Physiology Research (116 papers), Physiological and biochemical adaptations (47 papers) and Memory and Neural Mechanisms (35 papers). Ken Lukowiak is often cited by papers focused on Neurobiology and Insect Physiology Research (116 papers), Physiological and biochemical adaptations (47 papers) and Memory and Neural Mechanisms (35 papers). Ken Lukowiak collaborates with scholars based in Canada, Japan and United States. Ken Lukowiak's co-authors include Naweed I. Syed, Susan Sangha, Gaynor E. Spencer, Andi Scheibenstock, Sarah Dalesman, Chlöe McComb, Etsuro Ito, Hiroshi Sunada, David Rosenegger and Manabu Sakakibara and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Ken Lukowiak

162 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Lukowiak Canada 39 3.8k 1.5k 1.3k 874 724 164 5.2k
Paul R. Benjamin United Kingdom 43 4.1k 1.1× 1.2k 0.8× 944 0.7× 899 1.0× 629 0.9× 133 5.0k
Naweed I. Syed Canada 41 3.8k 1.0× 1.2k 0.8× 723 0.6× 1.6k 1.9× 356 0.5× 150 5.9k
Klaudiusz R. Weiss United States 49 5.3k 1.4× 2.4k 1.6× 966 0.7× 1.4k 1.6× 717 1.0× 165 7.1k
Ken Lukowiak Canada 34 2.5k 0.7× 699 0.5× 859 0.7× 786 0.9× 482 0.7× 149 3.7k
Maurice R. Elphick United Kingdom 42 3.7k 1.0× 736 0.5× 720 0.5× 1.1k 1.2× 629 0.9× 143 7.2k
Edgar T. Walters United States 51 3.4k 0.9× 1.0k 0.7× 417 0.3× 1.6k 1.8× 420 0.6× 113 6.3k
Abraham J. Susswein Israel 33 2.1k 0.6× 1.2k 0.8× 487 0.4× 368 0.4× 279 0.4× 109 3.3k
William G. Quinn United States 26 4.7k 1.3× 684 0.5× 691 0.5× 2.0k 2.3× 188 0.3× 35 6.1k
Barbara S. Beltz United States 39 2.7k 0.7× 336 0.2× 1.3k 1.0× 712 0.8× 188 0.3× 102 4.0k
Tim Tully United States 48 6.5k 1.7× 1.2k 0.8× 963 0.7× 3.5k 4.0× 259 0.4× 101 9.7k

Countries citing papers authored by Ken Lukowiak

Since Specialization
Citations

This map shows the geographic impact of Ken Lukowiak'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 Ken Lukowiak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Lukowiak more than expected).

Fields of papers citing papers by Ken Lukowiak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Lukowiak. 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 Ken Lukowiak. The network helps show where Ken Lukowiak may publish in the future.

Co-authorship network of co-authors of Ken Lukowiak

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Lukowiak. A scholar is included among the top collaborators of Ken Lukowiak 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 Ken Lukowiak. Ken Lukowiak 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.
Batabyal, Anuradha & Ken Lukowiak. (2021). Configural learning memory can be transformed from intermediate-term to long-term in pond snail Lymnaea stagnalis. Physiology & Behavior. 239. 113509–113509. 15 indexed citations
2.
Rivi, Veronica, Anuradha Batabyal, Cristina Benatti, et al.. (2021). A flavonoid, quercetin, is capable of enhancing long-term memory formation if encountered at different times in the learning, memory formation, and memory recall continuum. Journal of Comparative Physiology A. 208(2). 253–265. 13 indexed citations
3.
Aonuma, Hitoshi, et al.. (2017). Weak involvement of octopamine in aversive taste learning in a snail. Neurobiology of Learning and Memory. 141. 189–198. 13 indexed citations
4.
Forest, Jérémy, et al.. (2016). Training Lymnaea in the presence of a predator scent results in a long-lasting ability to form enhanced long-term memory. Journal of Comparative Physiology A. 202(6). 399–409. 18 indexed citations
5.
Sunada, Hiroshi, et al.. (2015). An automated learning apparatus for classical conditioning of Lymnaea stagnalis. Journal of Neuroscience Methods. 259. 115–121. 7 indexed citations
6.
Sunada, Hiroshi, et al.. (2013). Spaced taste avoidance conditioning in Lymnaea. Neurobiology of Learning and Memory. 107. 79–86. 15 indexed citations
7.
Dalesman, Sarah & Ken Lukowiak. (2012). How Stress Alters Memory in ‘Smart’ Snails. PLoS ONE. 7(2). e32334–e32334. 26 indexed citations
8.
Rosenegger, David & Ken Lukowiak. (2012). The participation of NMDA receptors, PKC, and MAPK in Lymnaea memory extinction. Neurobiology of Learning and Memory. 100. 64–69. 5 indexed citations
9.
Lukowiak, Ken, et al.. (2010). Ecologically relevant stressors modify long-term memory formation in a model system. Behavioural Brain Research. 214(1). 18–24. 52 indexed citations
10.
Lukowiak, Ken, et al.. (2010). Sympatric predator detection alters cutaneous respiration in Lymnaea. Communicative & Integrative Biology. 3(1). 42–45. 15 indexed citations
11.
Sunada, Hiroshi, Tetsuro Horikoshi, Ken Lukowiak, & Manabu Sakakibara. (2010). Increase in excitability of RPeD11 results in memory enhancement of juvenile and adult Lymnaea stagnalis by predator-induced stress. Neurobiology of Learning and Memory. 94(2). 269–277. 22 indexed citations
12.
Lukowiak, Ken, et al.. (2008). A clash of stressors and LTM formation. Communicative & Integrative Biology. 1(2). 125–127. 7 indexed citations
13.
Lukowiak, Ken, et al.. (2006). Stressful stimuli modulate memory formation in Lymnaea stagnalis. Neurobiology of Learning and Memory. 87(3). 391–403. 33 indexed citations
14.
Inoue, Takuya, et al.. (2006). An identified central pattern‐generating neuron co‐ordinates sensory‐motor components of respiratory behavior in Lymnaea. European Journal of Neuroscience. 23(1). 94–104. 34 indexed citations
15.
Lukowiak, Ken, et al.. (2003). Long-Term Memory Survives Nerve Injury and the Subsequent Regeneration Process. Learning & Memory. 10(1). 44–54. 27 indexed citations
16.
McComb, Chlöe, et al.. (2002). Context Extinction and Associative Learning in Lymnaea. Neurobiology of Learning and Memory. 78(1). 23–34. 34 indexed citations
17.
Magoski, Neil S., et al.. (1996). Glutamate as a putative neurotransmitter in the mollusc, Lymnaea stagnalis. Neuroscience. 75(4). 1255–1269. 18 indexed citations
18.
Spencer, Gaynor E., Ken Lukowiak, & Naweed I. Syed. (1996). Dopamine regulation of neurite outgrowth from identifiedLymnaea neurons in culture. Cellular and Molecular Neurobiology. 16(5). 577–589. 21 indexed citations
19.
20.
Ridgway, R. L., Naweed I. Syed, Ken Lukowiak, & Andrew GM Bulloch. (1991). Nerve growth factor (NGF) induces sprouting of specific neurons of the snail, Lymnaea stagnalis. Journal of Neurobiology. 22(4). 377–390. 113 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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