Cathy A. Grover

47 total papers · 1.1k total citations
42 papers, 907 citations indexed

About

Cathy A. Grover is a scholar working on Cellular and Molecular Neuroscience, Health, Toxicology and Mutagenesis and Cognitive Neuroscience. According to data from OpenAlex, Cathy A. Grover has authored 42 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 13 papers in Health, Toxicology and Mutagenesis and 10 papers in Cognitive Neuroscience. Recurrent topics in Cathy A. Grover's work include Neuroscience and Neuropharmacology Research (17 papers), Heavy Metal Exposure and Toxicity (12 papers) and Neurotransmitter Receptor Influence on Behavior (9 papers). Cathy A. Grover is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Heavy Metal Exposure and Toxicity (12 papers) and Neurotransmitter Receptor Influence on Behavior (9 papers). Cathy A. Grover collaborates with scholars based in United States. Cathy A. Grover's co-authors include Stephen F. Davis, Angela H. Becker, Loretta N. McGregor, Gerald D. Frye, William H. Griffith, Gerald R. Bratton, Jack R. Nation, Frank Vignola, Juan A. Salinas and Michael R. Best and has published in prestigious journals such as Brain Research, Computers in Human Behavior and Solar Energy.

In The Last Decade

Cathy A. Grover

41 papers receiving 786 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Cathy A. Grover	363	228	213	133	132	42	907
Max Kleiman‐Weiner	171 0.5×	243 1.1×	38 0.2×	185 1.4×	3 0.0×	45	946
Matthew J. Davis	17 0.0×	184 0.8×	20 0.1×	84 0.6×	20 0.2×	30	848
Lorenz S. Neuwirth	11 0.0×	131 0.6×	18 0.1×	78 0.6×	129 1.0×	44	892
Kathinka Evers	99 0.3×	65 0.3×	18 0.1×	109 0.8×	13 0.1×	60	987
Lesley A. Schimanski	25 0.1×	196 0.9×	103 0.5×	51 0.4×	5 0.0×	16	766
Michael Naef	273 0.8×	58 0.3×	14 0.1×	208 1.6×	6 0.0×	23	1.0k
Edward J. N. Stupple	68 0.2×	46 0.2×	21 0.1×	110 0.8×	19 0.1×	48	865
Philip Campbell	39 0.1×	72 0.3×	25 0.1×	68 0.5×	8 0.1×	57	968
Alice J. Lee	65 0.2×	266 1.2×	7 0.0×	63 0.5×	3 0.0×	21	770
Paul Wilhelm Dierkes	11 0.0×	169 0.7×	11 0.1×	283 2.1×	168 1.3×	68	1.0k

Countries citing papers authored by Cathy A. Grover

Since Specialization

Citations

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

Fields of papers citing papers by Cathy A. Grover

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cathy A. Grover

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

All Works

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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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