Lakhbir Singh

2.0k total citations
38 papers, 1.6k citations indexed

About

Lakhbir Singh is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Lakhbir Singh has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 16 papers in Molecular Biology and 12 papers in Physiology. Recurrent topics in Lakhbir Singh's work include Neuropeptides and Animal Physiology (13 papers), Pain Mechanisms and Treatments (12 papers) and Neuroscience and Neuropharmacology Research (11 papers). Lakhbir Singh is often cited by papers focused on Neuropeptides and Animal Physiology (13 papers), Pain Mechanisms and Treatments (12 papers) and Neuroscience and Neuropharmacology Research (11 papers). Lakhbir Singh collaborates with scholars based in United Kingdom, United States and India. Lakhbir Singh's co-authors include Mark J. Field, John Hughes, Scott McCleary, Sheila L. Handley, Ryszard J. Oles, Geoffrey N. Woodruff, Nirmala Suman‐Chauhan, María Isabel González, David C. Horwell and Mark D. Tricklebank and has published in prestigious journals such as Pain, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Lakhbir Singh

36 papers receiving 1.6k citations

Peers

Lakhbir Singh
T. Meert Belgium
Ann G. Hayes United Kingdom
Yuri Kolesnikov United States
K T Bunce United Kingdom
Michael B. Tyers United Kingdom
Sandra C. Roerig United States
Kelly M. Standifer United States
T. Meert Belgium
Lakhbir Singh
Citations per year, relative to Lakhbir Singh Lakhbir Singh (= 1×) peers T. Meert

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

20 of 20 papers shown
1.
Gupta, Vishu, et al.. (2023). The Efficacy and Safety of an Ayurvedic Petsaffa Formulation in Subjects with Constipation: An Open-Label, Non-Randomized Clinical Study. International Journal of Ayurveda and Pharma Research. 38–42. 1 indexed citations
2.
Gupta, Vishu, et al.. (2023). A Single Centre Open Label Post Marketing Surveillance Study to Evaluate the Efficacy and Safety of Roop Mantra Cucumber Ayurvedic Medicinal Face Wash. International Journal of Ayurveda and Pharma Research. 13–20. 1 indexed citations
3.
Gupta, Vishu, et al.. (2023). EFFICACY AND SAFETY OF "SACHI SAHELI" POLYHERBAL FORMULATIONS IN GYNAECOLOGICAL DISORDERS: A PROSPECTIVE, NON-RANDOMISED, OPEN-LABEL STUDY. International Journal of Research in Ayurveda and Pharmacy. 53–57. 1 indexed citations
4.
Field, Mark J., Maria Gonzalez, Ronald J. Tallarida, & Lakhbir Singh. (2002). Gabapentin and the Neurokinin1 Receptor Antagonist CI-1021 Act Synergistically in Two Rat Models of Neuropathic Pain. Journal of Pharmacology and Experimental Therapeutics. 303(2). 730–735. 29 indexed citations
5.
Field, Mark J., John Hughes, & Lakhbir Singh. (2000). Further evidence for the role of the α2δ subunit of voltage dependent calcium channels in models of neuropathic pain. British Journal of Pharmacology. 131(2). 282–286. 93 indexed citations
6.
González, María Isabel, Mark J. Field, Steve Bramwell, Scott McCleary, & Lakhbir Singh. (2000). Ovariohysterectomy in the rat: a model of surgical pain for evaluation of pre-emptive analgesia?. Pain. 88(1). 79–88. 24 indexed citations
7.
Field, Mark J., María Isabel González, Scott McCleary, et al.. (1999). Enadoline, a selective κ -opioid receptor agonist shows potent antihyperalgesic and antiallodynic actions in a rat model of surgical pain. Pain. 80(1). 383–389. 28 indexed citations
9.
Receveur, Jean‐Marie, Justin S. Bryans, Mark J. Field, Lakhbir Singh, & David C. Horwell. (1999). Synthesis and biological evaluation of conformationally restricted gabapentin analogues. Bioorganic & Medicinal Chemistry Letters. 9(16). 2329–2334. 24 indexed citations
10.
Field, Mark J., Scott McCleary, John Hughes, & Lakhbir Singh. (1999). Gabapentin and pregabalin, but not morphine and amitriptyline, block both static and dynamic components of mechanical allodynia induced by streptozocin in the rat. Pain. 80(1). 391–398. 248 indexed citations
11.
González, María Isabel, et al.. (1998). Evaluation of PD 154075, a tachykinin NK1 receptor antagonist, in a rat model of postoperative pain. European Journal of Pharmacology. 344(2-3). 115–120. 21 indexed citations
12.
Field, Mark J., et al.. (1997). Evaluation of Gabapentin and S-(+)-3-Isobutylgaba in a Rat Model of Postoperative Pain. Journal of Pharmacology and Experimental Therapeutics. 282(3). 1242–1246. 214 indexed citations
13.
Singh, Lakhbir, Mark J. Field, John Hughes, et al.. (1997). The tachykinin NK1 receptor antagonist PD 154075 blocks cisplatin-induced delayed emesis in the ferret. European Journal of Pharmacology. 321(2). 209–216. 40 indexed citations
14.
Singh, Lakhbir, Mark J. Field, David R. Hill, et al.. (1995). Peptoid CCK receptor antagonists: pharmacological evaluation of CCKA, CCKB and mixed receptor antagonists. European Journal of Pharmacology. 286(2). 185–191. 15 indexed citations
15.
Singh, Lakhbir, et al.. (1992). The antagonism of benzodiazepine withdrawal effects by the selective cholecystokininB receptor antagonist CI‐988. British Journal of Pharmacology. 105(1). 8–10. 23 indexed citations
16.
Singh, Lakhbir, et al.. (1991). The behavioural properties of CI‐988, a selective cholecystokininB receptor antagonist. British Journal of Pharmacology. 104(1). 239–245. 117 indexed citations
17.
Singh, Lakhbir, et al.. (1990). The discriminative stimulus properties of (+)-HA-966, an antagonist at the glycine/N-methyl-D-aspartate receptor. European Journal of Pharmacology. 186(1). 129–132. 41 indexed citations
18.
Singh, Lakhbir, Ryszard J. Oles, & Geoffrey N. Woodruff. (1990). In vivo interaction of a polyamine with the NMDA receptor. European Journal of Pharmacology. 180(2-3). 391–392. 55 indexed citations
19.
Singh, Lakhbir, et al.. (1986). Involvement of noradrenaline in potentiation of the head-twitch response by GABA-related drugs. Psychopharmacology. 88(3). 315–9. 10 indexed citations
20.
Singh, Lakhbir, et al.. (1984). Thermodilution cardiac output studies as a cause of prosthetic valve bacterial endocarditis. Journal of Thoracic and Cardiovascular Surgery. 88(6). 1035–1037. 9 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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