John D. Boughter

2.7k total citations
70 papers, 1.9k citations indexed

About

John D. Boughter is a scholar working on Nutrition and Dietetics, Sensory Systems and Biomedical Engineering. According to data from OpenAlex, John D. Boughter has authored 70 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Nutrition and Dietetics, 35 papers in Sensory Systems and 26 papers in Biomedical Engineering. Recurrent topics in John D. Boughter's work include Biochemical Analysis and Sensing Techniques (44 papers), Olfactory and Sensory Function Studies (35 papers) and Advanced Chemical Sensor Technologies (22 papers). John D. Boughter is often cited by papers focused on Biochemical Analysis and Sensing Techniques (44 papers), Olfactory and Sensory Function Studies (35 papers) and Advanced Chemical Sensor Technologies (22 papers). John D. Boughter collaborates with scholars based in United States, Japan and Germany. John D. Boughter's co-authors include Timothy A. Gilbertson, Detlef Heck, Kenichi Tokita, Steven J. St. John, David V. Smith, Tomio Inoue, David S. Tichansky, Atul K. Madan, David V. Smith and Glayde Whitney and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

John D. Boughter

68 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John D. Boughter United States	25	1.1k	984	595	387	364	70	1.9k
Marion E. Frank United States	33	2.1k 1.9×	2.0k 2.1×	1.0k 1.7×	406 1.0×	735 2.0×	73	2.9k
Minghong Ma United States	32	1.2k 1.1×	1.8k 1.8×	525 0.9×	192 0.5×	1.6k 4.4×	71	2.7k
Steven L. Youngentob United States	32	1.2k 1.1×	2.1k 2.2×	641 1.1×	118 0.3×	1.0k 2.8×	66	2.7k
Mark C. Whitehead United States	25	962 0.9×	873 0.9×	277 0.5×	438 1.1×	672 1.8×	40	1.8k
Masaya Funakoshi Japan	21	820 0.7×	688 0.7×	441 0.7×	167 0.4×	251 0.7×	57	1.3k
Hideto Kaba Japan	30	542 0.5×	1.1k 1.2×	115 0.2×	505 1.3×	1.3k 3.5×	123	2.7k
Susan P. Travers United States	24	1.3k 1.2×	1.0k 1.0×	419 0.7×	767 2.0×	626 1.7×	51	2.0k
Isabel Úbeda‐Bañón Spain	23	461 0.4×	688 0.7×	222 0.4×	37 0.1×	499 1.4×	54	1.4k
Dimitri Tränkner United States	6	515 0.5×	546 0.6×	285 0.5×	140 0.4×	209 0.6×	7	1.0k
Brian L. Allman Canada	30	196 0.2×	1.0k 1.0×	286 0.5×	54 0.1×	221 0.6×	99	2.5k

Countries citing papers authored by John D. Boughter

Since Specialization

Citations

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

Fields of papers citing papers by John D. Boughter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Boughter. 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 John D. Boughter. The network helps show where John D. Boughter may publish in the future.

Co-authorship network of co-authors of John D. Boughter

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Boughter. A scholar is included among the top collaborators of John D. Boughter 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 John D. Boughter. John D. Boughter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Callaway, Joseph C., et al.. (2025). The Auriculotemporal Nerve: A Comprehensive Review of Its Anatomical Variation and Clinical Manifestations. Laryngoscope Investigative Otolaryngology. 10(4). e70238–e70238.

Fletcher, Max L., et al.. (2025). Odor-evoked food neophobia and attenuation in mice. Chemical Senses. 50.

Boughter, John D., et al.. (2025). Delayed regional metastasis from small face/scalp cutaneous squamous carcinoma: outcomes and predictors. Archives of Dermatological Research. 317(1). 703–703. 1 indexed citations

Boughter, John D., et al.. (2022). The impact of familiarity on cortical taste coding. Current Biology. 32(22). 4914–4924.e4. 1 indexed citations

Boughter, John D. & Max L. Fletcher. (2021). Rethinking the role of taste processing in insular cortex and forebrain circuits. Current Opinion in Physiology. 20. 52–56. 8 indexed citations

Boughter, John D., et al.. (2019). Sweet and bitter taste stimuli activate VTA projection neurons in the parabrachial nucleus. Brain Research. 1714. 99–110. 17 indexed citations

Fletcher, Max L., et al.. (2017). Overlapping Representation of Primary Tastes in a Defined Region of the Gustatory Cortex. Journal of Neuroscience. 37(32). 7595–7605. 57 indexed citations

Tokita, Kenichi & John D. Boughter. (2015). Topographic organizations of taste-responsive neurons in the parabrachial nucleus of C57BL/6J mice: An electrophysiological mapping study. Neuroscience. 316. 151–166. 24 indexed citations

Goldsmith, Zachary K., et al.. (2015). Mice Perceive Synergistic Umami Mixtures as Tasting Sweet. Chemical Senses. 40(5). 295–303. 14 indexed citations

10.

Crusio, Wim E., Nazia M. Alam, Hans-Peter Lipp, et al.. (2013). Behavioral Genetics of the Mouse. Cambridge University Press eBooks. 14 indexed citations

11.

Sabri, Firouzeh, et al.. (2013). In Vivo Ultrasonic Detection of Polyurea Crosslinked Silica Aerogel Implants. PLoS ONE. 8(6). e66348–e66348. 47 indexed citations

12.

Boughter, John D., Megan K. Mulligan, Steven J. St. John, et al.. (2012). Genetic Control of a Central Pattern Generator: Rhythmic Oromotor Movement in Mice Is Controlled by a Major Locus near Atp1a2. PLoS ONE. 7(5). e38169–e38169. 18 indexed citations

13.

Boughter, John D., et al.. (2010). Cerebellar cortical output encodes temporal aspects of rhythmic licking movements and is necessary for normal licking frequency. European Journal of Neuroscience. 32(1). 41–52. 45 indexed citations

14.

Inoue, Tomio, et al.. (2010). Subnuclear organization of parabrachial efferents to the thalamus, amygdala and lateral hypothalamus in C57BL/6J mice: a quantitative retrograde double labeling study. Neuroscience. 171(1). 351–365. 40 indexed citations

15.

Tichansky, David S., et al.. (2010). Decrease in sweet taste in rats after gastric bypass surgery. Surgical Endoscopy. 25(4). 1176–1181. 57 indexed citations

16.

Inoue, Tomio, et al.. (2009). Afferent connections of the parabrachial nucleus in C57BL/6J mice. Neuroscience. 161(2). 475–488. 80 indexed citations

17.

Hayar, Abdallah, et al.. (2005). A low-cost solution to measure mouse licking in an electrophysiological setup with a standard analog-to-digital converter. Journal of Neuroscience Methods. 153(2). 203–207. 64 indexed citations

18.

Smith, David V., Steven J. St. John, & John D. Boughter. (2000). Neuronal cell types and taste quality coding. Physiology & Behavior. 69(1-2). 77–85. 40 indexed citations

19.

Boughter, John D. & Timothy A. Gilbertson. (1999). From Channels to Behavior. Neuron. 22(2). 213–215. 23 indexed citations

20.

Boughter, John D. & Glayde Whitney. (1997). Behavioral Specificity of the Bitter Taste Gene Soa. Physiology & Behavior. 63(1). 101–108. 24 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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