Pamela Greengrass

1.1k total citations
21 papers, 974 citations indexed

About

Pamela Greengrass is a scholar working on Social Psychology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Pamela Greengrass has authored 21 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 6 papers in Molecular Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Pamela Greengrass's work include Neuroendocrine regulation and behavior (7 papers), Neuroscience and Neuropharmacology Research (5 papers) and Stress Responses and Cortisol (4 papers). Pamela Greengrass is often cited by papers focused on Neuroendocrine regulation and behavior (7 papers), Neuroscience and Neuropharmacology Research (5 papers) and Stress Responses and Cortisol (4 papers). Pamela Greengrass collaborates with scholars based in United Kingdom, United States and Hong Kong. Pamela Greengrass's co-authors include Sally R. Tonge, Michael G. Wyllie, Christopher R. Chapple, A.M. Naylor, Barry Kenny, Peta A. Pascoe, Claire Turner, Peter Andersson, A. F. Casy and C. Robin Ganellin and has published in prestigious journals such as The Journal of Urology, British Journal of Pharmacology and Biochemical Pharmacology.

In The Last Decade

Pamela Greengrass

21 papers receiving 893 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pamela Greengrass United Kingdom 14 444 371 174 167 122 21 974
K P Minneman United States 12 696 1.6× 427 1.2× 174 1.0× 172 1.0× 263 2.2× 14 1.0k
Jean‐Pierre Dausse France 20 661 1.5× 464 1.3× 95 0.5× 45 0.3× 179 1.5× 32 1.0k
Akihiko Yonezawa Japan 15 258 0.6× 343 0.9× 91 0.5× 65 0.4× 326 2.7× 62 730
Alyssa B. O'Neill United States 13 648 1.5× 359 1.0× 50 0.3× 35 0.2× 84 0.7× 20 852
Anne‐Marie Galzin France 20 411 0.9× 607 1.6× 111 0.6× 20 0.1× 161 1.3× 46 1.1k
M. Corsi Italy 13 471 1.1× 627 1.7× 33 0.2× 100 0.6× 165 1.4× 18 893
Fai Tang Hong Kong 16 408 0.9× 541 1.5× 99 0.6× 27 0.2× 346 2.8× 43 1.1k
Katalin Horváth Hungary 17 231 0.5× 271 0.7× 95 0.5× 20 0.1× 126 1.0× 44 862
E. Giraldo Italy 18 1.0k 2.3× 834 2.2× 30 0.2× 38 0.2× 136 1.1× 27 1.3k
R.M. Hagan United Kingdom 18 757 1.7× 916 2.5× 21 0.1× 26 0.2× 255 2.1× 36 1.1k

Countries citing papers authored by Pamela Greengrass

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Greengrass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Greengrass

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Greengrass. A scholar is included among the top collaborators of Pamela Greengrass 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 Pamela Greengrass. Pamela Greengrass 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.
Lowther, Sandra, et al.. (1999). The Influence of Gender and Age on Neonatal Rat Hypothalamic 5-HT1A and 5-HT2A Receptors. Cellular and Molecular Neurobiology. 19(6). 775–784. 11 indexed citations
2.
González, María Isabel, Pamela Greengrass, Michael J. Russell, & C. A. Wilson. (1997). Comparison of Serotonin Receptor Numbers and Activity in Specific Hypothalamic Areas of Sexually Active and Inactive Female Rats. Neuroendocrinology. 66(6). 384–392. 31 indexed citations
3.
4.
Zhu, Min, Norman G. Bowery, Pamela Greengrass, & J. Phillipson. (1996). Application of radioligand receptor binding assays in the search for CNS active principles from Chinese medicinal plants. Journal of Ethnopharmacology. 54(2-3). 153–164. 27 indexed citations
5.
6.
Chapple, Christopher R., Richard P. Burt, Peter Andersson, et al.. (1994). Alpha 1 ‐adrenoceptor subtypes in the human prostate. British Journal of Urology. 74(5). 585–589. 69 indexed citations
7.
Kenny, Barry, et al.. (1994). Effect of alpha, adrenoceptorantagonists on prostatic pressure and blood pressure in the anesthetized dog. Urology. 44(1). 52–57. 60 indexed citations
8.
Barclay, Paul L., et al.. (1992). The pharmacokinetics of 125I-atrial natriuretic factor in anaesthetized rats. Biochemical Pharmacology. 44(6). 1013–1022. 13 indexed citations
9.
Noack, Thomas, G. Edwards, Pamela Greengrass, et al.. (1992). The involvement of potassium channels in the action of ciclazindol in rat portal vein. British Journal of Pharmacology. 106(1). 17–24. 21 indexed citations
10.
Nicholson, A. N., Peta A. Pascoe, Claire Turner, et al.. (1991). Sedation and histamine H1‐receptor antagonism: studies in man with the enantiomers of chlorpheniramine and dimethindene. British Journal of Pharmacology. 104(1). 270–276. 101 indexed citations
11.
James, Sarah‐Naomi, Christopher R. Chapple, Pamela Greengrass, et al.. (1989). Autoradiographic Analysis of Alpha-Adrenoceptors and Muscarinic Cholinergic Receptors in the Hyperplastic Human Prostate. The Journal of Urology. 142(2 Part 1). 438–444. 75 indexed citations
12.
Bremner, Ross M. & Pamela Greengrass. (1979). Regional variations in [3H]-prazosin and [3H]-noradrenaline binding in the rat brain [proceedings].. PubMed. 66(1). 153P–153P. 2 indexed citations
13.
Greengrass, Pamela, et al.. (1979). Binding characteristics of 3H-prazosin to rat brain α-adrenergic receptors. European Journal of Pharmacology. 55(3). 323–326. 369 indexed citations
14.
Blackburn, Kenneth J., et al.. (1978). Selective affinities of bromocriptine and lergotrile for rat limbic dopamine binding sites [proceedings].. PubMed Central. 64(3). 413P–413P. 4 indexed citations
15.
Greengrass, Pamela & Sally R. Tonge. (1975). The effects of gonadectomy on monoamine metabolism in three regions of mouse brain.. PubMed. 214(1). 46–52. 1 indexed citations
16.
17.
Greengrass, Pamela & Sally R. Tonge. (1974). Suggestions on the pharmacological actions of ethinyloestradiol and progesterone on the control of monoamine metabolism in three regions from the brains of gonadectomized male and female mice and the possible clinical significance.. PubMed. 211(2). 291–304. 9 indexed citations
18.
Greengrass, Pamela & Sally R. Tonge. (1974). The concentrations of the monoamines and their precursor amino acids in three areas of mouse brain during pregnancy.. PubMed. 210(1). 75–84. 8 indexed citations
19.
Greengrass, Pamela & Sally R. Tonge. (1971). Changes in brain monoamine concentrations during the oestrous cycle in the mouse: possible pharmacological implications. Journal of Pharmacy and Pharmacology. 23(11). 897–898. 42 indexed citations
20.
Tonge, Sally R. & Pamela Greengrass. (1971). The acute effects of oestrogen and progesterone on the monoamine levels of the brain of ovariectomised rats. Psychopharmacology. 21(4). 374–381. 40 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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