Heather M. Schellinck

1.2k total citations
27 papers, 769 citations indexed

About

Heather M. Schellinck is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Nutrition and Dietetics. According to data from OpenAlex, Heather M. Schellinck has authored 27 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Sensory Systems, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Nutrition and Dietetics. Recurrent topics in Heather M. Schellinck's work include Olfactory and Sensory Function Studies (17 papers), Biochemical Analysis and Sensing Techniques (8 papers) and Memory and Neural Mechanisms (6 papers). Heather M. Schellinck is often cited by papers focused on Olfactory and Sensory Function Studies (17 papers), Biochemical Analysis and Sensing Techniques (8 papers) and Memory and Neural Mechanisms (6 papers). Heather M. Schellinck collaborates with scholars based in Canada, United States and United Kingdom. Heather M. Schellinck's co-authors include Richard E. Brown, E.B. Keverne, Peter Brennan, Burton M. Slotnick, Richard E. Brown, Lianne Stanford, Keith M. Kendrick, C. de la Riva, Michael Wilkinson and Catherine Smyth and has published in prestigious journals such as Neuroscience, European Journal of Neuroscience and Behavioural Brain Research.

In The Last Decade

Heather M. Schellinck

26 papers receiving 747 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heather M. Schellinck Canada 18 409 335 186 145 109 27 769
Amparo Novejarque Spain 14 292 0.7× 277 0.8× 160 0.9× 291 2.0× 148 1.4× 17 672
Tobias F. Marton United States 8 470 1.1× 574 1.7× 261 1.4× 194 1.3× 83 0.8× 10 996
Vikrant Kapoor United States 12 556 1.4× 586 1.7× 247 1.3× 299 2.1× 187 1.7× 13 1.1k
Stephanie Carlson United States 15 271 0.7× 212 0.6× 94 0.5× 61 0.4× 334 3.1× 18 852
Stephen D. Shea United States 15 235 0.6× 360 1.1× 109 0.6× 274 1.9× 303 2.8× 25 1.1k
Monique Caillol France 17 604 1.5× 277 0.8× 496 2.7× 77 0.5× 134 1.2× 39 1.1k
Kevin R. Kelliher United States 19 838 2.0× 707 2.1× 505 2.7× 399 2.8× 108 1.0× 27 1.4k
C. de la Riva United Kingdom 15 164 0.4× 363 1.1× 92 0.5× 243 1.7× 87 0.8× 21 761
Andrew N. Clancy United States 24 437 1.1× 415 1.2× 228 1.2× 520 3.6× 49 0.4× 41 1.5k
Aras Petrulis United States 24 414 1.0× 345 1.0× 122 0.7× 833 5.7× 204 1.9× 44 1.3k

Countries citing papers authored by Heather M. Schellinck

Since Specialization
Citations

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

Fields of papers citing papers by Heather M. Schellinck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather M. Schellinck. 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 Heather M. Schellinck. The network helps show where Heather M. Schellinck may publish in the future.

Co-authorship network of co-authors of Heather M. Schellinck

This figure shows the co-authorship network connecting the top 25 collaborators of Heather M. Schellinck. A scholar is included among the top collaborators of Heather M. Schellinck 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 Heather M. Schellinck. Heather M. Schellinck 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.
Schellinck, Heather M., et al.. (2023). Serial reversal learning in an olfactory discrimination task in 3xTg-AD mice. Learning & Memory. 30(12). 310–319.
2.
Schellinck, Heather M., et al.. (2016). Sex and Genotype Differences in Odor Detection in the 3×Tg-AD and 5XFAD Mouse Models of Alzheimer’s Disease at 6 Months of Age. Chemical Senses. 41(5). 433–440. 37 indexed citations
3.
4.
Schellinck, Heather M., et al.. (2014). Olfactory delayed matching to sample performance in mice: Sex differences in the 5XFAD mouse model of Alzheimer's disease. Behavioural Brain Research. 270. 165–170. 27 indexed citations
5.
Crusio, Wim E., Nazia M. Alam, Hans-Peter Lipp, et al.. (2013). Behavioral Genetics of the Mouse. Cambridge University Press eBooks. 14 indexed citations
6.
Slotnick, Burton M., et al.. (2010). Accessory olfactory bulb function is modulated by input from the main olfactory epithelium. European Journal of Neuroscience. 31(6). 1108–1116. 41 indexed citations
7.
Powell, Kelly J., et al.. (2007). Cognitive impairments in the STOP null mouse model of schizophrenia.. Behavioral Neuroscience. 121(5). 826–835. 39 indexed citations
8.
Schellinck, Heather M., et al.. (2004). Neural cell adhesion molecule (NCAM) null mice do not show a deficit in odour discrimination learning. Behavioural Brain Research. 152(2). 327–334. 20 indexed citations
9.
Schellinck, Heather M., et al.. (2003). Repetitive acute pain in infancy increases anxiety but does not alter spatial learning ability in juvenile mice. Behavioural Brain Research. 142(1-2). 157–165. 19 indexed citations
10.
Schellinck, Heather M.. (2001). A Simple and Reliable Test of Olfactory Learning and Memory in Mice. Chemical Senses. 26(6). 663–672. 57 indexed citations
11.
Brown, Richard E., Lianne Stanford, & Heather M. Schellinck. (2000). Developing Standardized Behavioral Tests for Knockout and Mutant Mice. ILAR Journal. 41(3). 163–174. 49 indexed citations
12.
Schellinck, Heather M.. (2000). Selective depletion of bacteria alters but does not eliminate odors of individuality in Rattus norvegicus. Physiology & Behavior. 70(3-4). 261–270. 7 indexed citations
13.
Brennan, Peter, Heather M. Schellinck, & E.B. Keverne. (1999). Patterns of expression of the immediate-early gene egr-1 in the accessory olfactory bulb of female mice exposed to pheromonal constituents of male urine. Neuroscience. 90(4). 1463–1470. 99 indexed citations
14.
Brennan, Peter, Heather M. Schellinck, C. de la Riva, Keith M. Kendrick, & E.B. Keverne. (1998). Changes in neurotransmitter release in the main olfactory bulb following an olfactory conditioning procedure in mice. Neuroscience. 87(3). 583–590. 62 indexed citations
15.
Schellinck, Heather M., et al.. (1998). Soluble MHC antigens and olfactory recognition of genetic individuality: the mechanism. Genetica. 104(3). 223–230. 13 indexed citations
16.
Schellinck, Heather M., et al.. (1995). Methodological Questions in the Study of the Rat’s Ability to Discriminate Between the Odours of Individual Conspecifics.. 93. 427–436. 8 indexed citations
17.
Schellinck, Heather M., et al.. (1995). Odors of individuality of germfree mice are not discriminated by rats in a habituation- dishabituation procedure. Physiology & Behavior. 57(5). 1005–1008. 39 indexed citations
18.
Schellinck, Heather M., Catherine Smyth, Richard E. Brown, & Michael Wilkinson. (1993). Odor-induced sexual maturation and expression of c-fos in the olfactory system of juvenile female mice. Developmental Brain Research. 74(1). 138–141. 38 indexed citations
19.
20.
Schellinck, Heather M., Richard E. Brown, & Burton M. Slotnick. (1991). Training rats to discriminate between the odors of individual conspecifics. Animal Learning & Behavior. 19(3). 223–233. 37 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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