Scott C. Molitor

665 total citations
23 papers, 468 citations indexed

About

Scott C. Molitor is a scholar working on Cognitive Neuroscience, Education and Cellular and Molecular Neuroscience. According to data from OpenAlex, Scott C. Molitor has authored 23 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 7 papers in Education and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Scott C. Molitor's work include Diverse Educational Innovations Studies (6 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers) and Neural dynamics and brain function (5 papers). Scott C. Molitor is often cited by papers focused on Diverse Educational Innovations Studies (6 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers) and Neural dynamics and brain function (5 papers). Scott C. Molitor collaborates with scholars based in United States and Japan. Scott C. Molitor's co-authors include Paul B. Manis, Charlene M. Czerniak, Joan N. Kaderavek, Richard Komuniecki, Elizabeth Rex, Vijay K. Goel, Vera Hapiak, Hong Xiao, Bozena Fyk‐Kolodziej and Mikiya Asako and has published in prestigious journals such as JAMA, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Scott C. Molitor

22 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott C. Molitor United States 14 150 121 84 83 59 23 468
Jennifer Shum United States 10 170 1.1× 259 2.1× 53 0.6× 24 0.3× 52 0.9× 16 573
Daw‐An Wu United States 14 94 0.6× 372 3.1× 27 0.3× 6 0.1× 59 1.0× 32 673
Patrick T. Goodbourn Australia 16 32 0.2× 465 3.8× 45 0.5× 9 0.1× 93 1.6× 36 704
Adélaïde de Heering Belgium 17 58 0.4× 932 7.7× 55 0.7× 10 0.1× 151 2.6× 36 1.3k
Hidetoshi Ishibashi Japan 13 154 1.0× 187 1.5× 19 0.2× 3 0.0× 144 2.4× 37 638
A. Cyrus Arman United States 11 355 2.4× 410 3.4× 178 2.1× 3 0.0× 325 5.5× 17 974
Maureen E. Stabio United States 12 201 1.3× 83 0.7× 26 0.3× 13 0.2× 244 4.1× 18 449
Michael Henninger Germany 7 850 5.7× 397 3.3× 13 0.2× 16 0.2× 197 3.3× 25 1.0k
Neha U. Keshav United States 11 69 0.5× 477 3.9× 7 0.1× 134 1.6× 137 2.3× 13 750
Audrey Chen United States 11 182 1.2× 74 0.6× 4 0.0× 9 0.1× 92 1.6× 19 369

Countries citing papers authored by Scott C. Molitor

Since Specialization
Citations

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

Fields of papers citing papers by Scott C. Molitor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott C. Molitor. 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 Scott C. Molitor. The network helps show where Scott C. Molitor may publish in the future.

Co-authorship network of co-authors of Scott C. Molitor

This figure shows the co-authorship network connecting the top 25 collaborators of Scott C. Molitor. A scholar is included among the top collaborators of Scott C. Molitor 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 Scott C. Molitor. Scott C. Molitor 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.
Molitor, Scott C., et al.. (2020). Engineering Teaching Behaviors in PK-3 Classrooms. Papers on Engineering Education Repository (American Society for Engineering Education). 24.508.1–24.508.16. 1 indexed citations
2.
Kaderavek, Joan N., et al.. (2020). Longitudinal impact of early childhood science instruction on 5th grade science achievement. International Journal of Science Education. 42(7). 1124–1143. 17 indexed citations
3.
Czerniak, Charlene M., et al.. (2017). The impact of a Framework‐aligned science professional development program on literacy and mathematics achievement of K‐3 students. Journal of Research in Science Teaching. 54(9). 1174–1196. 9 indexed citations
4.
Kaderavek, Joan N., et al.. (2016). Investigating the Impact of NGSS-Aligned Professional Development on PreK-3 Teachers’ Science Content Knowledge and Pedagogy. Journal of Science Teacher Education. 27(7). 717–745. 33 indexed citations
5.
Qiu, Xiaoliang, Mengjie Wang, Abigail R. Dowling, et al.. (2015). Insulin and Leptin Signaling Interact in the Mouse Kiss1 Neuron during the Peripubertal Period. PLoS ONE. 10(5). e0121974–e0121974. 47 indexed citations
6.
Kaderavek, Joan N., et al.. (2015). SCIIENCE: The creation and pilot implementation of an NGSS-based instrument to evaluate early childhood science teaching. Studies In Educational Evaluation. 45. 27–36. 13 indexed citations
7.
Shimano, Takashi, Bozena Fyk‐Kolodziej, Mikiya Asako, et al.. (2012). Assessment of the AAV-mediated expression of channelrhodopsin-2 and halorhodopsin in brainstem neurons mediating auditory signaling. Brain Research. 1511. 138–152. 35 indexed citations
8.
Molitor, Scott C.. (2012). Prize Fight: The Race and the Rivalry to Be the First in Science. JAMA. 308(21). 2282–2282. 10 indexed citations
9.
Shimano, Takashi, Bozena Fyk‐Kolodziej, Mikiya Asako, et al.. (2011). Histological and Physiological Investigation of Channelrhodopsin–2 and Halorhodopsin in the Dorsal Cochlear Nucleus. Journal of Otology. 6(1). 10–19.
10.
Molitor, Scott C.. (2010). Brain, Mind and the Structure of Reality. JAMA. 304(19). 2183–2183. 4 indexed citations
11.
Molitor, Scott C., et al.. (2009). Effects of near‐infrared laser exposure in a cellular model of wound healing. Photodermatology Photoimmunology & Photomedicine. 25(2). 75–80. 51 indexed citations
12.
Molitor, Scott C.. (2009). Principles of Cognitive Neuroscience. JAMA. 301(5). 548–548. 37 indexed citations
13.
Molitor, Scott C. & Vijay K. Goel. (2007). Handbook of Neural Engineering. JAMA. 298(8). 926–926. 15 indexed citations
14.
Molitor, Scott C., et al.. (2006). MATLAB-based Simulation of Whole-Cell and Single-Channel Currents.. PubMed. 4(2). A74–82. 4 indexed citations
15.
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
16.
Manis, Paul B., et al.. (2003). Subthreshold oscillations generated by TTX-sensitive sodium currents in dorsal cochlear nucleus pyramidal cells. Experimental Brain Research. 153(4). 443–451. 17 indexed citations
17.
Molitor, Scott C. & Paul B. Manis. (2003). Dendritic Ca2+Transients Evoked by Action Potentials in Rat Dorsal Cochlear Nucleus Pyramidal and Cartwheel Neurons. Journal of Neurophysiology. 89(4). 2225–2237. 18 indexed citations
18.
Molitor, Scott C. & Paul B. Manis. (1999). Voltage-Gated Ca2+Conductances in Acutely Isolated Guinea Pig Dorsal Cochlear Nucleus Neurons. Journal of Neurophysiology. 81(3). 985–998. 21 indexed citations
19.
Molitor, Scott C. & Paul B. Manis. (1997). Evidence for Functional Metabotropic Glutamate Receptors in the Dorsal Cochlear Nucleus. Journal of Neurophysiology. 77(4). 1889–1905. 29 indexed citations
20.
Manis, Paul B. & Scott C. Molitor. (1996). N-methyl-D-aspartate receptors at parallel fiber synapses in the dorsal cochlear nucleus. Journal of Neurophysiology. 76(3). 1639–1656. 32 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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