Lawrence A. Rothblat

1.7k total citations
29 papers, 1.4k citations indexed

About

Lawrence A. Rothblat is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Lawrence A. Rothblat has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 13 papers in Cellular and Molecular Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Lawrence A. Rothblat's work include Memory and Neural Mechanisms (14 papers), Neuroscience and Neuropharmacology Research (12 papers) and Visual perception and processing mechanisms (4 papers). Lawrence A. Rothblat is often cited by papers focused on Memory and Neural Mechanisms (14 papers), Neuroscience and Neuropharmacology Research (12 papers) and Visual perception and processing mechanisms (4 papers). Lawrence A. Rothblat collaborates with scholars based in United States, United Kingdom and Czechia. Lawrence A. Rothblat's co-authors include Laura L. Hayes, Lawrence F. Kromer, Michael L. Schwartz, Lisa M. Saksida, Timothy J. Bussey, Jonathan L. Brigman, William A. Wilson, Jennifer Thornton, Elisabeth A. Murray and Daniel W. Meechan and has published in prestigious journals such as Neuron, Journal of Neuroscience and Biological Psychiatry.

In The Last Decade

Lawrence A. Rothblat

28 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lawrence A. Rothblat United States 21 838 657 377 178 153 29 1.4k
Manjit K. Sanghera United States 22 944 1.1× 993 1.5× 381 1.0× 149 0.8× 94 0.6× 41 2.1k
David G. Amaral United States 16 878 1.0× 640 1.0× 175 0.5× 72 0.4× 89 0.6× 19 1.5k
Nathaniel T. McMullen United States 28 679 0.8× 547 0.8× 335 0.9× 215 1.2× 276 1.8× 47 1.9k
Wolfgang Tischmeyer Germany 18 615 0.7× 870 1.3× 467 1.2× 57 0.3× 144 0.9× 32 1.5k
John T. Hackett United States 26 538 0.6× 1.1k 1.7× 650 1.7× 213 1.2× 58 0.4× 60 2.0k
José de Olmos Argentina 14 694 0.8× 956 1.5× 358 0.9× 389 2.2× 40 0.3× 18 1.9k
J. L. Muir United Kingdom 18 1.3k 1.6× 1.2k 1.8× 602 1.6× 231 1.3× 43 0.3× 23 2.1k
E. Hazel Murphy United States 24 763 0.9× 858 1.3× 429 1.1× 65 0.4× 63 0.4× 59 1.6k
Francisco E. Olucha‐Bordonau Spain 22 537 0.6× 690 1.1× 310 0.8× 102 0.6× 66 0.4× 56 2.0k
Qian‐Quan Sun United States 25 1.0k 1.2× 1.4k 2.2× 570 1.5× 107 0.6× 260 1.7× 45 2.0k

Countries citing papers authored by Lawrence A. Rothblat

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence A. Rothblat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence A. Rothblat. 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 Lawrence A. Rothblat. The network helps show where Lawrence A. Rothblat may publish in the future.

Co-authorship network of co-authors of Lawrence A. Rothblat

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence A. Rothblat. A scholar is included among the top collaborators of Lawrence A. Rothblat 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 Lawrence A. Rothblat. Lawrence A. Rothblat 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.
Meechan, Daniel W., Beverly A. Karpinski, Erin R. Bonner, et al.. (2019). Mitochondrial Dysfunction Leads to Cortical Under-Connectivity and Cognitive Impairment. Neuron. 102(6). 1127–1142.e3. 106 indexed citations
2.
Meechan, Daniel W., Thomas M. Maynard, Eric S. Tucker, et al.. (2015). Modeling a model: Mouse genetics, 22q11.2 Deletion Syndrome, and disorders of cortical circuit development. Progress in Neurobiology. 130. 1–28. 71 indexed citations
3.
Meechan, Daniel W., et al.. (2013). Cognitive Ability is Associated with Altered Medial Frontal Cortical Circuits in the LgDel Mouse Model of 22q11.2DS. Cerebral Cortex. 25(5). 1143–1151. 36 indexed citations
4.
Rothblat, Lawrence A., et al.. (2012). Intact and impaired executive abilities in the BTBR mouse model of autism. Behavioural Brain Research. 234(1). 33–37. 29 indexed citations
5.
Brigman, Jonathan L. & Lawrence A. Rothblat. (2007). Stimulus specific deficit on visual reversal learning after lesions of medial prefrontal cortex in the mouse. Behavioural Brain Research. 187(2). 405–410. 46 indexed citations
6.
Brigman, Jonathan L., et al.. (2006). Executive functions in the heterozygous reeler mouse model of schizophrenia.. Behavioral Neuroscience. 120(4). 984–988. 77 indexed citations
7.
Brigman, Jonathan L., Timothy J. Bussey, Lisa M. Saksida, & Lawrence A. Rothblat. (2005). Discrimination of Multidimensional Visual Stimuli by Mice: Intra- and Extradimensional Shifts.. Behavioral Neuroscience. 119(3). 839–842. 69 indexed citations
8.
Bussey, Timothy J., Lisa M. Saksida, & Lawrence A. Rothblat. (2001). Discrimination of computer-graphic stimuli by mice: A method for the behavioral characterization of transgenic and gene-knockout models.. Behavioral Neuroscience. 115(4). 957–960. 69 indexed citations
9.
Kromer, Lawrence F., et al.. (1996). The basal forebrain cholinergic system and object memory in the rat. Brain Research. 710(1-2). 265–270. 26 indexed citations
10.
Gleason, Theresa & Lawrence A. Rothblat. (1994). Landmark discrimination in the rat: A measure of allocentric spatial ability.. Behavioral Neuroscience. 108(1). 206–209. 4 indexed citations
11.
Gleason, Theresa & Lawrence A. Rothblat. (1994). Landmark discrimination in the rat: A measure of allocentric spatial ability.. Behavioral Neuroscience. 108(1). 206–209. 4 indexed citations
12.
13.
Rothblat, Lawrence A. & Lawrence F. Kromer. (1991). Object recognition memory in the rat: the role of the hippocampus. Behavioural Brain Research. 42(1). 25–32. 152 indexed citations
14.
Berrettini, Wade H., et al.. (1987). Mediational factors underlying cognitive changes and laterality in affective illness. Biological Psychiatry. 22(8). 979–986. 57 indexed citations
15.
Rothblat, Lawrence A. & Laura L. Hayes. (1987). Short-term object recognition memory in the rat: Nonmatching with trial-unique junk stimuli.. Behavioral Neuroscience. 101(4). 587–590. 91 indexed citations
16.
Kerns, James M. & Lawrence A. Rothblat. (1981). The effects of monocular deprivation on the development of the rat trochlear nerve. Brain Research. 230(1-2). 367–371. 6 indexed citations
17.
Rothblat, Lawrence A. & Michael L. Schwartz. (1979). The effect of monocular deprivation on dendritic spines in visual cortex of young and adult albino rats: evidence for a sensitive period. Brain Research. 161(1). 156–161. 80 indexed citations
18.
Rothblat, Lawrence A. & Karl H. Pribram. (1972). Selective attention: Input filter or response selection? An electrophysiological analysis. Brain Research. 39(2). 427–436. 19 indexed citations
19.
Rothblat, Lawrence A., et al.. (1969). Auditory and visual distraction in hippocampectomized.. Journal of Comparative and Physiological Psychology. 67(2, Pt.1). 216–219. 45 indexed citations
20.
Wilson, Martha, et al.. (1968). Frequency and recency of reward and inferotemporal lesions. Psychonomic Science. 11(7). 237–238. 3 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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