S J Wall

884 total citations
11 papers, 768 citations indexed

About

S J Wall is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, S J Wall has authored 11 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in S J Wall's work include Receptor Mechanisms and Signaling (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Adenosine and Purinergic Signaling (2 papers). S J Wall is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Adenosine and Purinergic Signaling (2 papers). S J Wall collaborates with scholars based in United States and United Kingdom. S J Wall's co-authors include Robert P. Yasuda, Barry B. Wolfe, Anton Wellstein, L R Flores, Ming Li, Mingcai Li, Gillian Murphy, Mike Sampson, N. J. Levell and Edward I. Ginns and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Pharmacology and Experimental Therapeutics and Molecular Pharmacology.

In The Last Decade

S J Wall

11 papers receiving 744 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S J Wall United States 10 581 427 75 57 49 11 768
Sarah J. Hadingham United Kingdom 9 252 0.4× 210 0.5× 68 0.9× 34 0.6× 37 0.8× 10 724
R. Massarelli France 14 230 0.4× 148 0.3× 78 1.0× 47 0.8× 32 0.7× 41 494
Lukas Weigl Austria 16 447 0.8× 237 0.6× 97 1.3× 52 0.9× 18 0.4× 36 678
Akito Kume Japan 12 694 1.2× 733 1.7× 70 0.9× 14 0.2× 27 0.6× 29 1.1k
Victoria Tarabin Germany 10 220 0.4× 109 0.3× 85 1.1× 47 0.8× 24 0.5× 10 682
Williams Rj United Kingdom 9 245 0.4× 251 0.6× 61 0.8× 14 0.2× 47 1.0× 18 544
Yaping Yan China 18 257 0.4× 286 0.7× 145 1.9× 22 0.4× 46 0.9× 59 814
Grażyna Dębska–Vielhaber Germany 20 480 0.8× 304 0.7× 167 2.2× 34 0.6× 36 0.7× 33 972
Maider López de Jesús Spain 14 322 0.6× 186 0.4× 62 0.8× 144 2.5× 23 0.5× 27 620
Anna Tortiglione Italy 11 311 0.5× 323 0.8× 68 0.9× 16 0.3× 47 1.0× 12 579

Countries citing papers authored by S J Wall

Since Specialization
Citations

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

Fields of papers citing papers by S J Wall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S J Wall. 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 S J Wall. The network helps show where S J Wall may publish in the future.

Co-authorship network of co-authors of S J Wall

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

All Works

11 of 11 papers shown
1.
Wall, S J, Mike Sampson, N. J. Levell, & Gillian Murphy. (2003). Elevated matrix metalloproteinase-2 and -3 production from human diabetic dermal fibroblasts. British Journal of Dermatology. 149(1). 13–16. 68 indexed citations
2.
Yasuda, Robert P., et al.. (1993). Development of antisera selective for m4 and m5 muscarinic cholinergic receptors: distribution of m4 and m5 receptors in rat brain.. Molecular Pharmacology. 43(2). 149–157. 179 indexed citations
3.
Wolfe, Barry B., et al.. (1993). Development and utilization of a panel of antisera selective for each of the subtypes of muscarinic cholinergic receptor. Life Sciences. 52(5-6). 584–584. 1 indexed citations
4.
Wall, S J, et al.. (1992). Differential regulation of subtypes m1-m5 of muscarinic receptors in forebrain by chronic atropine administration.. Journal of Pharmacology and Experimental Therapeutics. 262(2). 584–588. 47 indexed citations
5.
Wall, S J, et al.. (1991). Production of antisera selective for m1 muscarinic receptors using fusion proteins: distribution of m1 receptors in rat brain.. Molecular Pharmacology. 39(5). 643–649. 89 indexed citations
6.
Li, Ming, Robert P. Yasuda, S J Wall, Anton Wellstein, & Barry B. Wolfe. (1991). Distribution of m2 muscarinic receptors in rat brain using antisera selective for m2 receptors.. Molecular Pharmacology. 40(1). 28–35. 99 indexed citations
7.
Wall, S J, et al.. (1991). Development of an Antiserum Against m3 Muscarinic Receptors: Distribution of m3 Receptors in Rat Tissues and Clonal Cell Lines. Molecular Pharmacology. 40(5). 783–789. 143 indexed citations
8.
Ambudkar, Indu S., Van Horn, Chih‐Ko Yeh, et al.. (1991). Evidence that M3 muscarinic receptors in rat parotid gland couple to two second messenger systems. American Journal of Physiology-Cell Physiology. 261(6). C1063–C1073. 100 indexed citations
9.
Koelle, George B., et al.. (1986). L-glutamic acid, a neurotrophic factor for maintenance of acetylcholinesterase and butyrylcholinesterase in the preganglionically denervated superior cervical ganglion of the cat.. Proceedings of the National Academy of Sciences. 83(8). 2751–2754. 20 indexed citations
11.
Wall, S J, et al.. (1983). Occupational history-taking in a family practice academic setting. Academic Medicine. 58(2). 151–3. 10 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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