Glenn E. Morrison

550 total citations
9 papers, 412 citations indexed

About

Glenn E. Morrison is a scholar working on Aging, Endocrine and Autonomic Systems and Cognitive Neuroscience. According to data from OpenAlex, Glenn E. Morrison has authored 9 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aging, 4 papers in Endocrine and Autonomic Systems and 2 papers in Cognitive Neuroscience. Recurrent topics in Glenn E. Morrison's work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Circadian rhythm and melatonin (4 papers) and Memory and Neural Mechanisms (2 papers). Glenn E. Morrison is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (7 papers), Circadian rhythm and melatonin (4 papers) and Memory and Neural Mechanisms (2 papers). Glenn E. Morrison collaborates with scholars based in Canada and United States. Glenn E. Morrison's co-authors include Derek van der Kooy, Michael S. Fanselow, Jennifer J. Quinn, Namit Kumar, Gloria Rambaldini, et al and Joyce D. Rousseau and has published in prestigious journals such as Behavioral Neuroscience and Hippocampus.

In The Last Decade

Glenn E. Morrison

9 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Glenn E. Morrison Canada	9	194	169	154	147	68	9	412
Joshua S. Greene United States	6	125 0.6×	214 1.3×	75 0.5×	63 0.4×	69 1.0×	6	505
May Dobosiewicz United States	7	190 1.0×	99 0.6×	141 0.9×	39 0.3×	65 1.0×	7	400
Ian G. McLachlan United States	10	150 0.8×	140 0.8×	84 0.5×	87 0.6×	53 0.8×	14	414
Seth A. Wescott United States	6	176 0.9×	233 1.4×	149 1.0×	103 0.7×	20 0.3×	9	417
Jacqueline K. Rose Canada	11	272 1.4×	235 1.4×	184 1.2×	129 0.9×	8 0.1×	17	593
Patrick Vuillez France	15	51 0.3×	239 1.4×	476 3.1×	141 1.0×	34 0.5×	34	642
Lía Frenkel Argentina	12	21 0.1×	286 1.7×	153 1.0×	126 0.9×	34 0.5×	16	411
Azza Sellami France	10	52 0.3×	420 2.5×	81 0.5×	70 0.5×	25 0.4×	13	545
Elizabeth L. Meyer-Bernstein United States	8	44 0.2×	309 1.8×	603 3.9×	157 1.1×	34 0.5×	11	660
Penny W. Burgoon United States	11	75 0.4×	197 1.2×	397 2.6×	81 0.6×	8 0.1×	15	513

Countries citing papers authored by Glenn E. Morrison

Since Specialization

Citations

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

Fields of papers citing papers by Glenn E. Morrison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glenn E. Morrison. 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 Glenn E. Morrison. The network helps show where Glenn E. Morrison may publish in the future.

Co-authorship network of co-authors of Glenn E. Morrison

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

All Works

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9 of 9 papers shown

1.

Quinn, Jennifer J., et al.. (2002). Post‐training excitotoxic lesions of the dorsal hippocampus attenuate forward trace, backward trace, and delay fear conditioning in a temporally specific manner. Hippocampus. 12(4). 495–504. 153 indexed citations

2.

Morrison, Glenn E. & Derek van der Kooy. (2001). A mutation in the AMPA-type glutamate receptor, glr-1, blocks olfactory associative and nonassociative learning in Caenorhabditis elegans.. Behavioral Neuroscience. 115(3). 640–649. 23 indexed citations

3.

Morrison, Glenn E. & Derek van der Kooy. (2001). A mutation in the AMPA-type glutamate receptor, glr-1, blocks olfactory associative and nonassociative learning in Caenorhabditis elegans.. Behavioral Neuroscience. 115(3). 640–649. 21 indexed citations

4.

Morrison, Glenn E., et al.. (1999). Olfactory associative learning in Caenorhabditis elegans is impaired in lrn-1 and lrn-2 mutants.. Behavioral Neuroscience. 113(2). 358–367. 30 indexed citations

5.

Morrison, Glenn E., et al.. (1999). Olfactory associative learning in Caenorhabditis elegans is impaired in lrn-1 and lrn-2 mutants.. Behavioral Neuroscience. 113(2). 358–367. 30 indexed citations

6.

Kumar, Namit, et al.. (1997). Mutations that prevent associative learning in C. elegans.. Behavioral Neuroscience. 111(2). 354–368. 66 indexed citations

7.

Morrison, Glenn E. & Derek van der Kooy. (1997). Cold shock before associative conditioning blocks memory retrieval, but cold shock after conditioning blocks memory retention.. Behavioral Neuroscience. 111(3). 564–578. 17 indexed citations

8.

Kumar, Namit, et al.. (1997). Mutations that prevent associative learning in C. elegans.. Behavioral Neuroscience. 111(2). 354–368. 56 indexed citations

9.

Morrison, Glenn E. & Derek van der Kooy. (1997). Cold shock before associative conditioning blocks memory retrieval, but cold shock after conditioning blocks memory retention in Caenorhabditis elegans.. Behavioral Neuroscience. 111(3). 564–578. 16 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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