Scott J. Parkinson

1.8k total citations
36 papers, 1.4k citations indexed

About

Scott J. Parkinson is a scholar working on Molecular Biology, Endocrinology and Physiology. According to data from OpenAlex, Scott J. Parkinson has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Endocrinology and 5 papers in Physiology. Recurrent topics in Scott J. Parkinson's work include Escherichia coli research studies (8 papers), Gut microbiota and health (6 papers) and Adenosine and Purinergic Signaling (5 papers). Scott J. Parkinson is often cited by papers focused on Escherichia coli research studies (8 papers), Gut microbiota and health (6 papers) and Adenosine and Purinergic Signaling (5 papers). Scott J. Parkinson collaborates with scholars based in United States, United Kingdom and Switzerland. Scott J. Parkinson's co-authors include Scott A. Waldman, Peter J. Parker, Stephen L. Carrithers, Scott D. Goldstein, Michael T. Barber, Janet A. Askari, Tony Ng, Martin J. Humphries, Zohreh Mostafavi‐Pour and S B Biswas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Scott J. Parkinson

36 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott J. Parkinson United States 23 619 222 218 214 168 36 1.4k
Vincenzo Mattei Italy 28 1.1k 1.8× 179 0.8× 252 1.2× 214 1.0× 291 1.7× 87 2.0k
François Boudreau Canada 30 1.5k 2.4× 582 2.6× 302 1.4× 188 0.9× 167 1.0× 90 2.8k
Chiara Foglieni Italy 26 905 1.5× 187 0.8× 247 1.1× 235 1.1× 172 1.0× 61 2.0k
Tara Seshadri Canada 17 1.4k 2.3× 337 1.5× 732 3.4× 321 1.5× 126 0.8× 30 2.3k
Glenn McEnroe United States 16 868 1.4× 277 1.2× 64 0.3× 133 0.6× 80 0.5× 20 1.8k
Jürgen Dedio Germany 19 848 1.4× 86 0.4× 370 1.7× 258 1.2× 165 1.0× 27 1.8k
Marie–Christine Rio France 24 1.2k 2.0× 488 2.2× 487 2.2× 332 1.6× 235 1.4× 37 2.8k
Alois Palmetshofer Germany 21 793 1.3× 217 1.0× 996 4.6× 252 1.2× 93 0.6× 32 2.1k
Stephane R. Gross United Kingdom 21 941 1.5× 119 0.5× 180 0.8× 132 0.6× 254 1.5× 36 1.8k
N. Henriquez United Kingdom 8 782 1.3× 225 1.0× 408 1.9× 103 0.5× 108 0.6× 10 1.5k

Countries citing papers authored by Scott J. Parkinson

Since Specialization
Citations

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

Fields of papers citing papers by Scott J. Parkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott J. Parkinson

This figure shows the co-authorship network connecting the top 25 collaborators of Scott J. Parkinson. A scholar is included among the top collaborators of Scott J. Parkinson 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 Scott J. Parkinson. Scott J. Parkinson 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.
Chakrabarti, Anirikh, Mathieu Membrez, Delphine Morin‐Rivron, et al.. (2017). Transcriptomics-driven lipidomics (TDL) identifies the microbiome-regulated targets of ileal lipid metabolism. npj Systems Biology and Applications. 3(1). 33–33. 11 indexed citations
2.
Parkinson, Scott J.. (2016). Optimum Gear Ratios for an Electric Vehicle. SHILAP Revista de lepidopterología. 7(1). 1 indexed citations
3.
Chakrabarti, Anirikh, Jay Siddharth, Christian L. Lauber, et al.. (2016). Resolving microbial membership using Abundance and Variability In Taxonomy (‘AVIT ). Scientific Reports. 6(1). 31655–31655. 2 indexed citations
4.
Parkinson, Scott J., M. Katherine Tolbert, Kristen M. Messenger, et al.. (2014). Evaluation of the Effect of Orally Administered Acid Suppressants On Intragastric pH in Cats. Journal of Veterinary Internal Medicine. 29(1). 104–112. 32 indexed citations
5.
Petit, Stéphanie, et al.. (2013). Nucleotide-Binding Oligomerization Domain 2 Signaling Promotes Hyperresponsive Macrophages and Colitis in IL-10–Deficient Mice. The Journal of Immunology. 190(6). 2948–2958. 29 indexed citations
6.
7.
Smith, Philip, Jay Siddharth, Matt Butler, et al.. (2012). Host Genetics and Environmental Factors Regulate Ecological Succession of the Mouse Colon Tissue-Associated Microbiota. PLoS ONE. 7(1). e30273–e30273. 34 indexed citations
8.
Butler, Matt, Victoria J. Burton, Tammy L. Wilson, et al.. (2012). Impairment of adenosine A3 receptor activity disrupts neutrophil migratory capacity and impacts innate immune function in vivo. European Journal of Immunology. 42(12). 3358–3368. 32 indexed citations
9.
Perez, Laurent, Matt Butler, JoAnn Dzink-Fox, et al.. (2010). Direct Bacterial Killing In Vitro by Recombinant Nod2 Is Compromised by Crohn's Disease-Associated Mutations. PLoS ONE. 5(6). e10915–e10915. 17 indexed citations
10.
Wallis, Marianne, et al.. (2004). Nurses' utilisation of complementary therapies: a pilot study exploring scope of practice. Collegian Journal of the Royal College of Nursing Australia. 11(4). 19–25. 7 indexed citations
11.
Parkinson, Scott J., et al.. (2003). Identification of PKCζII: an endogenous inhibitor of cell polarity. The EMBO Journal. 23(1). 77–88. 24 indexed citations
12.
Parker, Peter J. & Scott J. Parkinson. (2001). AGC protein kinase phosphorylation and protein kinase C. Biochemical Society Transactions. 29(6). 860–860. 53 indexed citations
13.
14.
Carrithers, Stephen L., et al.. (1996). Escherichia coli heat-stable enterotoxin receptors. Diseases of the Colon & Rectum. 39(2). 171–181. 56 indexed citations
15.
Carrithers, Stephen L., Scott J. Parkinson, Carsten Skurk, et al.. (1996). Hypotensive Mechanisms of Amifostine. The Journal of Clinical Pharmacology. 36(4). 365–373. 37 indexed citations
16.
Carrithers, Stephen L., et al.. (1995). Rat Guanylyl Cyclase C Expressed in COS-7 Cells Exhibits Multiple Affinities for Escherichia coli Heat-Stable Enterotoxin. Biochemistry. 34(28). 9095–9102. 11 indexed citations
17.
Waldman, Scott A., Kelly‐Anne Phillips, & Scott J. Parkinson. (1994). Intestinal Kinetics And Dynamics Of Escherichia Coli Heat-Stabile Enterotoxin In Suckling Mice. The Journal of Infectious Diseases. 170(6). 1498–1507. 4 indexed citations
18.
Carrithers, Stephen L., Scott J. Parkinson, Scott Goldstein, et al.. (1994). Escherichia coli heat-stable toxin receptors in human colonic tumors. Gastroenterology. 107(6). 1653–1661. 70 indexed citations
19.
Rathbone, Michel P., et al.. (1992). Purinergic stimulation of cell division and differentiation: Mechanisms and pharmacological implications. Medical Hypotheses. 37(4). 213–219. 63 indexed citations
20.
Elia, Maurizio & Scott J. Parkinson. (1989). Protein economy during human starvation.. PubMed. 43(2). 139–43. 4 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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