Jon W. Jacklet

2.6k total citations
70 papers, 2.1k citations indexed

About

Jon W. Jacklet is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Jon W. Jacklet has authored 70 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Cellular and Molecular Neuroscience, 29 papers in Endocrine and Autonomic Systems and 16 papers in Molecular Biology. Recurrent topics in Jon W. Jacklet's work include Neurobiology and Insect Physiology Research (41 papers), Photoreceptor and optogenetics research (36 papers) and Circadian rhythm and melatonin (29 papers). Jon W. Jacklet is often cited by papers focused on Neurobiology and Insect Physiology Research (41 papers), Photoreceptor and optogenetics research (36 papers) and Circadian rhythm and melatonin (29 papers). Jon W. Jacklet collaborates with scholars based in United States, Canada and Cameroon. Jon W. Jacklet's co-authors include Melvin J. Cohen, Renate B. Alvarez, Ken Lukowiak, H. Y. KOH, Felix Strumwasser, Jack A. Benson, William R. Colquhoun, Bertram Peretz, David P. Lotshaw and Barbara W. Bernstein and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Jon W. Jacklet

69 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon W. Jacklet United States 27 1.6k 802 348 336 321 70 2.1k
Arnold Eskin United States 34 2.1k 1.3× 1.2k 1.5× 392 1.1× 748 2.2× 160 0.5× 76 3.0k
Herbert Underwood United States 30 1.4k 0.9× 2.0k 2.5× 189 0.5× 301 0.9× 381 1.2× 69 2.6k
Charles L. Ralph United States 30 943 0.6× 1.4k 1.7× 131 0.4× 277 0.8× 454 1.4× 90 2.5k
Sue Binkley United States 22 909 0.6× 1.4k 1.7× 197 0.6× 260 0.8× 157 0.5× 60 1.9k
Felix Strumwasser United States 28 1.7k 1.1× 325 0.4× 157 0.5× 931 2.8× 253 0.8× 54 2.6k
M Menaker United States 9 855 0.5× 1.4k 1.8× 152 0.4× 317 0.9× 167 0.5× 12 1.8k
Patricia J. DeCoursey United States 18 678 0.4× 1.3k 1.6× 210 0.6× 101 0.3× 398 1.2× 27 1.9k
Mark J. Zoran United States 21 918 0.6× 961 1.2× 454 1.3× 819 2.4× 142 0.4× 45 2.2k
Vijay Kumar Sharma India 25 1.3k 0.8× 1.5k 1.8× 332 1.0× 208 0.6× 221 0.7× 128 2.4k
B. Vivien‐Roels France 32 1.2k 0.7× 2.3k 2.9× 171 0.5× 377 1.1× 214 0.7× 93 3.1k

Countries citing papers authored by Jon W. Jacklet

Since Specialization
Citations

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

Fields of papers citing papers by Jon W. Jacklet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon W. Jacklet. 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 Jon W. Jacklet. The network helps show where Jon W. Jacklet may publish in the future.

Co-authorship network of co-authors of Jon W. Jacklet

This figure shows the co-authorship network connecting the top 25 collaborators of Jon W. Jacklet. A scholar is included among the top collaborators of Jon W. Jacklet 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 Jon W. Jacklet. Jon W. Jacklet 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.
Jacklet, Jon W., et al.. (2006). Serotonin and cAMP induce excitatory modulation of a serotonergic neuron. Journal of Neurobiology. 66(5). 499–510. 12 indexed citations
2.
Jacklet, Jon W., et al.. (2004). Serotonin, nitric oxide and histamine enhance the excitability of neuron MCC by diverse mechanisms. Acta Biologica Hungarica. 55(1-4). 201–210. 6 indexed citations
3.
KOH, H. Y. & Jon W. Jacklet. (2001). Nitric oxide induces cGMP immunoreactivity and modulates membrane conductance in identified central neurons of Aplysia. European Journal of Neuroscience. 13(3). 553–560. 17 indexed citations
4.
Jacklet, Jon W.. (1997). Nitric oxide signaling in invertebrates. Invertebrate Neuroscience. 3(1). 1–14. 107 indexed citations
5.
Barnes, Steven & Jon W. Jacklet. (1997). Ionic Currents of Isolated Retinal Pacemaker Neurons: Projected Daily Phase Differences and Selective Enhancement by a Phase-Shifting Neurotransmitter. Journal of Neurophysiology. 77(6). 3075–3084. 17 indexed citations
6.
Jacklet, Jon W., Steven Barnes, Andrew GM Bulloch, Ken Lukowiak, & Naweed I. Syed. (1996). Rhythmic activities of isolated and clustered pacemaker neurons and photoreceptors ofAplysia retina in culture. Journal of Neurobiology. 31(1). 16–28. 4 indexed citations
7.
Strack, Stefan & Jon W. Jacklet. (1993). Antiserum to an eye‐specific protein identifies photoreceptor and circadian pacemaker neuron projections in Aplysia. Journal of Neurobiology. 24(5). 552–570. 5 indexed citations
8.
Jacklet, Jon W.. (1989). Neuronal and cellular oscillators. Marcel Dekker eBooks. 95 indexed citations
9.
Jacklet, Jon W. & Juan Acosta‐Urquidi. (1985). Serotonin decreases a background current and increases calcium and calcium-activated current in pedal neurons ofHermissenda. Cellular and Molecular Neurobiology. 5(4). 407–412. 14 indexed citations
10.
Jacklet, Jon W.. (1985). Neurobiology of circadian rhythms generators. Trends in Neurosciences. 8. 69–73. 18 indexed citations
11.
Jacklet, Jon W. & William R. Colquhoun. (1983). Ultrastructure of photoreceptors and circadian pacemaker neurons in the eye of a gastropod,Bulla. Journal of Neurocytology. 12(4). 673–696. 46 indexed citations
12.
Jacklet, Jon W., et al.. (1982). Electrical Activity and Structure of Retinal Cells of the Aplysia Eye: II. Photoreceptors. Journal of Experimental Biology. 99(1). 381–395. 24 indexed citations
13.
Jacklet, Jon W. & David P. Lotshaw. (1981). Light and High Potassium Cause Similar Phase Shifts of the Aplysia Eye Circadian Rhythm. Journal of Experimental Biology. 94(1). 345–350. 12 indexed citations
14.
Jacklet, Jon W.. (1977). Neuronal Circadian Rhythm: Phase Shifting by a Protein Synthesis Inhibitor. Science. 198(4312). 69–71. 77 indexed citations
15.
Jacklet, Jon W. & Ken Lukowiak. (1974). Neural processes in habituation and sensitization in model systems. Progress in Neurobiology. 4. 1–56. 17 indexed citations
16.
Lukowiak, Ken & Jon W. Jacklet. (1972). Habituation and Dishabituation: Interactions between Peripheral and Central Nervous Systems in Aplysia. Science. 178(4067). 1306–1308. 53 indexed citations
17.
Jacklet, Jon W., Bertram Peretz, & Felix Strumwasser. (1970). Synaptic influences on identified neurons in an aberrant parieto-visceral ganglion of Aplysia. Journal of Comparative Physiology A. 66(3). 318–325. 4 indexed citations
18.
Jacklet, Jon W.. (1969). Manipulation of the circadian rhythm of optic nerve potentials in aplysia. Integrative and Comparative Biology. 9(4). 1103. 1 indexed citations
19.
Jacklet, Jon W.. (1969). Electrophysiological Organization of the Eye of Aplysia . The Journal of General Physiology. 53(1). 21–42. 80 indexed citations
20.
Cohen, Melvin J. & Jon W. Jacklet. (1967). The functional organization of motor neurons in an insect ganglion. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 252(781). 561–569. 88 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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