Leonard J. Cleary

1.7k total citations
36 papers, 1.3k citations indexed

About

Leonard J. Cleary is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Leonard J. Cleary has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 9 papers in Cognitive Neuroscience. Recurrent topics in Leonard J. Cleary's work include Neurobiology and Insect Physiology Research (21 papers), Neuroscience and Neuropharmacology Research (17 papers) and Neural dynamics and brain function (6 papers). Leonard J. Cleary is often cited by papers focused on Neurobiology and Insect Physiology Research (21 papers), Neuroscience and Neuropharmacology Research (17 papers) and Neural dynamics and brain function (6 papers). Leonard J. Cleary collaborates with scholars based in United States and United Kingdom. Leonard J. Cleary's co-authors include John H. Byrne, Arnold Eskin, Jeannie Chin, Annie Angers, Shogo Endo, Rong‐Yu Liu, Fan Zhang, Han Zhang, Douglas A. Baxter and Rong-Yu Liu and has published in prestigious journals such as Science, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Leonard J. Cleary

35 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonard J. Cleary United States 19 980 452 290 174 100 36 1.3k
Hisaaki Namba Japan 19 694 0.7× 479 1.1× 174 0.6× 83 0.5× 68 0.7× 48 1.2k
Astrid Rollenhagen Germany 18 696 0.7× 279 0.6× 352 1.2× 143 0.8× 43 0.4× 34 1.1k
Hiroshi Kuba Japan 20 1.0k 1.1× 682 1.5× 627 2.2× 152 0.9× 143 1.4× 44 1.9k
Subhabrata Sanyal United States 23 767 0.8× 729 1.6× 136 0.5× 298 1.7× 93 0.9× 35 1.5k
Leo Marin Canada 18 1.0k 1.1× 906 2.0× 177 0.6× 416 2.4× 107 1.1× 21 1.5k
Shanker Karunanithi Australia 18 766 0.8× 576 1.3× 120 0.4× 334 1.9× 119 1.2× 30 1.1k
Alberto E. Pereda United States 20 880 0.9× 708 1.6× 480 1.7× 176 1.0× 80 0.8× 33 1.4k
Mark Eddison United States 15 365 0.4× 696 1.5× 107 0.4× 186 1.1× 148 1.5× 24 1.3k
Martha W. Bagnall United States 19 780 0.8× 371 0.8× 435 1.5× 282 1.6× 95 0.9× 29 1.3k

Countries citing papers authored by Leonard J. Cleary

Since Specialization
Citations

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

Fields of papers citing papers by Leonard J. Cleary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonard J. Cleary. 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 Leonard J. Cleary. The network helps show where Leonard J. Cleary may publish in the future.

Co-authorship network of co-authors of Leonard J. Cleary

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard J. Cleary. A scholar is included among the top collaborators of Leonard J. Cleary 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 Leonard J. Cleary. Leonard J. Cleary 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.
Liu, Rong‐Yu, et al.. (2020). Role of p90 ribosomal S6 kinase in long-term synaptic facilitation and enhanced neuronal excitability. Scientific Reports. 10(1). 608–608. 13 indexed citations
2.
3.
Zhou, Lian, et al.. (2015). Rescue of Impaired Long-Term Facilitation at Sensorimotor Synapses ofAplysiafollowing siRNA Knockdown of CREB1. Journal of Neuroscience. 35(4). 1617–1626. 6 indexed citations
4.
Marshak, David, Joanne M. Oakes, Pei‐Hsuan Hsieh, Alice Z. Chuang, & Leonard J. Cleary. (2014). Outcomes of a rotational dissection system in gross anatomy. Anatomical Sciences Education. 8(5). 438–444. 7 indexed citations
5.
Marshak, David & Leonard J. Cleary. (2014). Outcomes of a rotational dissection system in gross anatomy (721.19). The FASEB Journal. 28(S1). 2 indexed citations
6.
Liu, Rong-Yu, et al.. (2014). Doxorubicin Attenuates Serotonin-Induced Long-Term Synaptic Facilitation by Phosphorylation of p38 Mitogen-Activated Protein Kinase. Journal of Neuroscience. 34(40). 13289–13300. 31 indexed citations
7.
Liu, Rong-Yu, et al.. (2013). Deficit in Long-Term Synaptic Plasticity Is Rescued by a Computationally Predicted Stimulus Protocol. Journal of Neuroscience. 33(16). 6944–6949. 16 indexed citations
8.
Liu, Rong‐Yu, Shreyansh Shah, Leonard J. Cleary, & John H. Byrne. (2011). Serotonin- and training-induced dynamic regulation of CREB2 in Aplysia. Learning & Memory. 18(4). 245–249. 14 indexed citations
9.
Fioravante, Diasynou, et al.. (2007). Synapsin Regulates Basal Synaptic Strength, Synaptic Depression, and Serotonin-Induced Facilitation of Sensorimotor Synapses in Aplysia. Journal of Neurophysiology. 98(6). 3568–3580. 18 indexed citations
10.
Antzoulatos, Evan G., et al.. (2006). Long-term sensitization training primes Aplysia for further learning. Learning & Memory. 13(4). 422–425. 22 indexed citations
11.
Chin, Jeannie, Rong‐Yu Liu, Leonard J. Cleary, Arnold Eskin, & John H. Byrne. (2006). TGF-β1-Induced Long-Term Changes in Neuronal Excitability inAplysiaSensory Neurons Depend on MAPK. Journal of Neurophysiology. 95(5). 3286–3290. 41 indexed citations
12.
Byrne, John H., et al.. (2004). Dissociation of Morphological and Physiological Changes Associated With Long-Term Memory in Aplysia. Journal of Neurophysiology. 92(4). 2628–2632. 17 indexed citations
13.
Zhang, Han, et al.. (2003). Quantitation of Contacts Among Sensory, Motor, and Serotonergic Neuronsin the Pedal Ganglion of Aplysia. Learning & Memory. 10(5). 387–393. 18 indexed citations
14.
Chin, Jeannie, Annie Angers, Leonard J. Cleary, Arnold Eskin, & John H. Byrne. (1999). TGF-β1 inAplysia: Role in Long-Term Changes in the Excitability of Sensory Neurons and Distribution of TβR-II-Like Immunoreactivity. Learning & Memory. 6(3). 317–330. 51 indexed citations
15.
Zhang, Fan, Shogo Endo, Leonard J. Cleary, Arnold Eskin, & John H. Byrne. (1997). Role of Transforming Growth Factor-β in Long-Term Synaptic Facilitation in Aplysia. Science. 275(5304). 1318–1320. 153 indexed citations
16.
Cleary, Leonard J., et al.. (1995). Modulation of an inhibitory interneuron in the neural circuitry for the tail withdrawal reflex of Aplysia. Journal of Neurophysiology. 73(3). 1313–1318. 16 indexed citations
17.
Fang, Bin, et al.. (1991). Serotoninergic varicosities make synaptic contacts with pleural sensory neurons of Aplysia. The Journal of Comparative Neurology. 311(2). 259–270. 37 indexed citations
18.
Cleary, Leonard J., et al.. (1991). cAMP induces long-term morphological changes in sensory neurons ofAplysia. Brain Research. 539(2). 324–327. 65 indexed citations
19.
Scholz, Kenneth P., Leonard J. Cleary, & John H. Byrne. (1988). Inositol 1,4,5-trisphosphate alters bursting pacemaker activity in Aplysia neurons: voltage-clamp analysis of effects on calcium currents. Journal of Neurophysiology. 60(1). 86–104. 18 indexed citations
20.
Cleary, Leonard J., et al.. (1987). Movement of newly synthesized membrane by fast transport along the axon of an identified aplysia neuron. The Journal of Comparative Neurology. 263(1). 92–105. 9 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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