Lawrence M. Grover

2.4k citations
46 papers · 1.9k indexed · 1 hit paper · h-index 24
Topics
Neuroscience and Neuropharmacology Research (28 papers)Memory and Neural Mechanisms (12 papers)Ion channel regulation and function (11 papers)
Partner nations
United StatesIndia

In The Last Decade

Lawrence M. Grover

46 papers receiving 1.9k citations

Hit Papers

Two components of long-term potentiation induced by diffe...19902026200220141990100200300400500

Peers

Lawrence M. Grover
Comparison fields: 5 of 102
  • Cellular and Molecular Neuroscience 1.5k
  • Cognitive Neuroscience 960
  • Molecular Biology 730
  • Neurology 219
  • Physiology 151
Replace Steven A. Siegelbaum with:
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Lawrence M. Grover relative to Steven A. Siegelbaum United States Steven A. Siegelbaum's profile →
Citations per field
00.5×1.5×
Steven A. Siegelbaum · 1×
Citations per year

Countries citing papers authored by Lawrence M. Grover

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence M. Grover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence M. Grover

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence M. Grover. A scholar is included among the top collaborators of Lawrence M. 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 Lawrence M. Grover. Lawrence M. Grover 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
#WorkIndexed citations
1 6
2 2
3 8
4 12
5 3
6 32
7 73
8 57
9 14
10 90
11 5
12 6
13 37
14 34
15 25
16 9
17 121
18 30
19 23
20 17

About Lawrence M. Grover

Lawrence M. Grover is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (28 papers), Memory and Neural Mechanisms (12 papers) and Ion channel regulation and function (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Cognitive Neuroscience (960 citations) and Developmental Neuroscience (134 citations). Lawrence M. Grover has collaborated with scholars based in United States and India. Frequent co-authors include Timothy J. Teyler, Joseph Farley, Yan Chen, Nevin A. Lambert, William R. Holmes, J.D. Cooke, Eun Young Kim, Eun‐Young Kim, P. A. Schwartzkroin and Albert M. Borroni. Their work appears in journals such as Nature, Journal of Neurophysiology and Brain Research.

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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