Steven L. Youngentob

3.4k total citations
66 papers, 2.7k citations indexed

About

Steven L. Youngentob is a scholar working on Sensory Systems, Nutrition and Dietetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Steven L. Youngentob has authored 66 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Sensory Systems, 38 papers in Nutrition and Dietetics and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Steven L. Youngentob's work include Olfactory and Sensory Function Studies (53 papers), Biochemical Analysis and Sensing Techniques (34 papers) and Advanced Chemical Sensor Technologies (18 papers). Steven L. Youngentob is often cited by papers focused on Olfactory and Sensory Function Studies (53 papers), Biochemical Analysis and Sensing Techniques (34 papers) and Advanced Chemical Sensor Technologies (18 papers). Steven L. Youngentob collaborates with scholars based in United States and Ireland. Steven L. Youngentob's co-authors include James E. Schwob, Paul F. Kent, Maxwell M. Mozell, Paul R. Sheehe, David E. Hornung, Frank L. Margolis, Marla B. Luskin, Bradley J. Goldstein, John I. Glendinning and Donald A. Leopold and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Steven L. Youngentob

66 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven L. Youngentob United States 32 2.1k 1.2k 1.0k 641 404 66 2.7k
Minghong Ma United States 32 1.8k 0.9× 1.2k 1.0× 1.6k 1.6× 525 0.8× 52 0.1× 71 2.7k
Abdallah Hayar United States 23 1.1k 0.5× 631 0.5× 1.3k 1.3× 254 0.4× 91 0.2× 47 2.0k
Mark C. Whitehead United States 25 873 0.4× 962 0.8× 672 0.7× 277 0.4× 83 0.2× 40 1.8k
Liliane Astic France 22 952 0.4× 600 0.5× 893 0.9× 142 0.2× 153 0.4× 45 2.0k
Fumiaki Imamura United States 20 808 0.4× 404 0.3× 470 0.5× 205 0.3× 136 0.3× 30 1.2k
Hideto Kaba Japan 30 1.1k 0.5× 542 0.4× 1.3k 1.2× 115 0.2× 97 0.2× 123 2.7k
G. A. Monti Graziadei United States 16 1.9k 0.9× 865 0.7× 1.4k 1.4× 226 0.4× 845 2.1× 18 2.8k
Roman A. Romanov Austria 18 409 0.2× 441 0.4× 384 0.4× 270 0.4× 187 0.5× 43 1.5k
Tyler Cutforth United States 24 897 0.4× 559 0.5× 1.2k 1.2× 196 0.3× 231 0.6× 30 2.4k
Michel Eybalin France 37 3.4k 1.6× 634 0.5× 1.2k 1.1× 140 0.2× 91 0.2× 73 4.2k

Countries citing papers authored by Steven L. Youngentob

Since Specialization
Citations

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

Fields of papers citing papers by Steven L. Youngentob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven L. Youngentob. 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 Steven L. Youngentob. The network helps show where Steven L. Youngentob may publish in the future.

Co-authorship network of co-authors of Steven L. Youngentob

This figure shows the co-authorship network connecting the top 25 collaborators of Steven L. Youngentob. A scholar is included among the top collaborators of Steven L. Youngentob 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 Steven L. Youngentob. Steven L. Youngentob 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
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Youngentob, Steven L., et al.. (2012). Gestational naltrexone ameliorates fetal ethanol exposures enhancing effect on the postnatal behavioral and neural response to ethanol. Experimental Biology and Medicine. 237(10). 1197–1208. 15 indexed citations
3.
Youngentob, Steven L., et al.. (2010). The Interaction of Gestational and Postnatal Ethanol Experience on the Adolescent and Adult Odor‐Mediated Responses to Ethanol in Observer and Demonstrator Rats. Alcoholism Clinical and Experimental Research. 34(10). 1705–1713. 9 indexed citations
4.
Youngentob, Steven L. & John I. Glendinning. (2009). Fetal ethanol exposure increases ethanol intake by making it smell and taste better. Proceedings of the National Academy of Sciences. 106(13). 5359–5364. 77 indexed citations
5.
Homma, Ryota, Lawrence B. Cohen, Efstratios K. Kosmidis, & Steven L. Youngentob. (2009). Perceptual stability during dramatic changes in olfactory bulb activation maps and dramatic declines in activation amplitudes. European Journal of Neuroscience. 29(5). 1027–1034. 16 indexed citations
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Youngentob, Steven L., et al.. (2004). Expression patterns of basic helix‐loop‐helix transcription factors define subsets of olfactory progenitor cells. The Journal of Comparative Neurology. 479(2). 216–233. 68 indexed citations
8.
Youngentob, Steven L., Martina Pyrski, & Frank L. Margolis. (2004). Adenoviral Vector-Mediated Rescue of the OMP-Null Behavioral Phenotype: Enhancement of Odorant Threshold Sensitivity.. Behavioral Neuroscience. 118(3). 636–642. 23 indexed citations
9.
Iwema, Carrie, Hengsheng Fang, D Kurtz, Steven L. Youngentob, & James E. Schwob. (2004). Odorant Receptor Expression Patterns Are Restored in Lesion-Recovered Rat Olfactory Epithelium. Journal of Neuroscience. 24(2). 356–369. 108 indexed citations
10.
White, Theresa L. & Steven L. Youngentob. (2004). The effect of NMDA-NR2B receptor subunit over-expression on olfactory memory task performance in the mouse. Brain Research. 1021(1). 1–7. 33 indexed citations
11.
Kent, Paul F., et al.. (2003). Mucosal activity patterns as a basis for olfactory discrimination: comparing behavior and optical recordings. Brain Research. 981(1-2). 1–11. 37 indexed citations
12.
Youngentob, Steven L., et al.. (2001). OMP gene deletion results in an alteration in odorant quality perception.. Behavioral Neuroscience. 115(3). 626–631. 53 indexed citations
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Schwob, James E., et al.. (1999). Reinnervation of the rat olfactory bulb after methyl bromide-induced lesion: Timing and extent of reinnervation. The Journal of Comparative Neurology. 412(3). 439–457. 83 indexed citations
16.
Goldstein, Bradley J., Hengsheng Fang, Steven L. Youngentob, & James E. Schwob. (1998). Transplantation of multipotent progenitors from the adult olfactory epithelium. Neuroreport. 9(7). 1611–1617. 48 indexed citations
17.
Loo, Alice, Steven L. Youngentob, Paul F. Kent, & James E. Schwob. (1996). The aging olfactory epithelium: Neurogenesis, response to damage, and odorant‐induced activity. International Journal of Developmental Neuroscience. 14(7-8). 881–900. 115 indexed citations
18.
Youngentob, Steven L. & Paul F. Kent. (1995). Enhancement of odorant-induced mucosal activity patterns in rats trained on an odorant identification task. Brain Research. 670(1). 82–88. 77 indexed citations
19.
Youngentob, Steven L., David E. Hornung, & Maxwell M. Mozell. (1991). Determination of carbon dioxide detection thresholds in trained rats. Physiology & Behavior. 49(1). 21–26. 24 indexed citations
20.
Schwartz, David N., et al.. (1987). Improvement of olfaction in laeyngectomized patients with the larynx bypass. The Laryngoscope. 97(11). 1280–1286. 31 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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