Lakhbir Singh

1.7k citations
9 papers · 1.4k indexed · 1 hit paper · h-index 9
Topics
Neuroscience and Neuropharmacology Research (6 papers)Pharmacological Receptor Mechanisms and Effects (3 papers)Receptor Mechanisms and Signaling (3 papers)

In The Last Decade

Lakhbir Singh

9 papers receiving 1.3k citations

Hit Papers

A summary of mechanistic hypotheses of gabapentin pharmac...19982026200720161998100200300400500

Peers

Lakhbir Singh
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 810
  • Molecular Biology 501
  • Physiology 431
  • Psychiatry and Mental health 275
  • Pharmacology 179
Replace T. Meert with:
T. Meert Belgium
L. Singh United Kingdom
Mitsuo Tanabe Japan
Agneta Wahlström Sweden
Juan Carlos G. Marvizón United States
K. Reinikainen Finland
Alexander T. McKnight United Kingdom
Susan K. Hemrick-Luecke United States
Martin D. Hynes United States
I.F. Tulloch Netherlands
Lakhbir Singh relative to T. Meert Belgium T. Meert's profile →
Citations per field
00.5×1.5×
T. Meert · 1×
Citations per year

Countries citing papers authored by Lakhbir Singh

Since Specialization
Citations

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

Fields of papers citing papers by Lakhbir Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lakhbir Singh. 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 Lakhbir Singh. The network helps show where Lakhbir Singh may publish in the future.

Co-authorship network of co-authors of Lakhbir Singh

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 85
2 58
3 14
4
A summary of mechanistic hypotheses of gabapentin pharmacologybreakdown →
596
5 102
6 30
7 403
8 39
9 62

About Lakhbir Singh

Lakhbir Singh is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (810 citations), Psychiatry and Mental health (275 citations) and Anesthesiology and Pain Medicine (94 citations). Lakhbir Singh has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Ryszard J. Oles, Mark D. Tricklebank, Ti‐Zhi Su, Jason P. Brown, N S Gee, Jeffery D. Kocsis, Charles P. Taylor, David Dooley, Devin Welty and Mark J. Field. Their work appears in journals such as Brain Research, British Journal of Pharmacology and Psychopharmacology.

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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