John A. Arnott

1.7k total citations · 1 hit paper
18 papers, 1.3k citations indexed

About

John A. Arnott is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, John A. Arnott has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Genetics. Recurrent topics in John A. Arnott's work include Connective Tissue Growth Factor Research (7 papers), TGF-β signaling in diseases (6 papers) and Bone health and treatments (4 papers). John A. Arnott is often cited by papers focused on Connective Tissue Growth Factor Research (7 papers), TGF-β signaling in diseases (6 papers) and Bone health and treatments (4 papers). John A. Arnott collaborates with scholars based in United States and United Kingdom. John A. Arnott's co-authors include Sonia Lobo Planey, Darshan Shah, Steven N. Popoff, Thomas A. Owen, Fayez Safadi, Fayez F. Safadi, Robin A. Pixley, Christina Mundy, Archana Sanjay and William G. DeLong and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The FASEB Journal.

In The Last Decade

John A. Arnott

18 papers receiving 1.2k citations

Hit Papers

The influence of lipophilicity in drug discovery and design 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John A. Arnott United States 13 566 247 237 172 161 18 1.3k
Sonia Lobo Planey United States 15 807 1.4× 281 1.1× 297 1.3× 177 1.0× 255 1.6× 26 1.7k
Owen B. Wallace United States 16 689 1.2× 405 1.6× 403 1.7× 149 0.9× 131 0.8× 27 1.6k
Johannes C. Hermann United States 21 984 1.7× 210 0.9× 227 1.0× 154 0.9× 147 0.9× 36 1.7k
Mark Namchuk United States 17 1.0k 1.8× 237 1.0× 456 1.9× 127 0.7× 94 0.6× 29 1.7k
Terry W. Moore United States 23 1.0k 1.8× 80 0.3× 402 1.7× 188 1.1× 142 0.9× 61 1.6k
John F. Gilmer Ireland 23 532 0.9× 123 0.5× 317 1.3× 111 0.6× 337 2.1× 68 1.7k
John C. McKew United States 24 933 1.6× 190 0.8× 433 1.8× 103 0.6× 70 0.4× 68 2.1k
Reiko Watanabe Japan 28 1.1k 1.9× 209 0.8× 129 0.5× 85 0.5× 332 2.1× 85 2.2k
Daniel P. Walker Australia 16 510 0.9× 174 0.7× 267 1.1× 94 0.5× 142 0.9× 49 1.3k
Daniela Rossi Italy 30 1.2k 2.1× 125 0.5× 388 1.6× 83 0.5× 91 0.6× 147 2.8k

Countries citing papers authored by John A. Arnott

Since Specialization
Citations

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

Fields of papers citing papers by John A. Arnott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Arnott. 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 John A. Arnott. The network helps show where John A. Arnott may publish in the future.

Co-authorship network of co-authors of John A. Arnott

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

All Works

18 of 18 papers shown
1.
Binks, Andrew P., Renée J. LeClair, Joanne M. Willey, et al.. (2021). Changing Medical Education, Overnight: The Curricular Response to COVID-19 of Nine Medical Schools. Teaching and Learning in Medicine. 33(3). 334–342. 62 indexed citations
2.
Arnott, John A., et al.. (2020). Geisinger Commonwealth School of Medicine. Academic Medicine. 95(9S). S426–S430. 1 indexed citations
3.
Piper, Brian J., Daniel Y. F. Chung, Melissa Birkett, et al.. (2019). A Quantitative and Narrative Evaluation of Goodman and Gilman’s Pharmacological Basis of Therapeutics. Pharmacy. 8(1). 1–1. 17 indexed citations
4.
Arnott, John A. & Sonia Lobo Planey. (2017). Flipped classroom approaches lead to no improvement in learning outcomes or student perceptions. The FASEB Journal. 31(S1). 10 indexed citations
5.
Cho, Youngjin, et al.. (2015). AFAP1 Is a Novel Downstream Mediator of TGF-β1 for CCN2 Induction in Osteoblasts. PLoS ONE. 10(9). e0136712–e0136712. 9 indexed citations
6.
Arnott, John A., et al.. (2014). Selective estrogen receptor modulators: tissue specificity and clinical utility. Clinical Interventions in Aging. 9. 1437–1437. 186 indexed citations
7.
Planey, Sonia Lobo, Raj Kumar, & John A. Arnott. (2014). Post-Translational Modification of Transcription Factors: Mechanisms and Potential Therapeutic Interventions. Current Molecular Pharmacology. 6(3). 173–182. 4 indexed citations
8.
Arnott, John A., et al.. (2014). Targeting protein palmitoylation: selective inhibitors and implications in disease. Expert Opinion on Drug Discovery. 9(9). 1005–1019. 48 indexed citations
9.
Planey, Sonia Lobo, Praveen Kumar, & John A. Arnott. (2013). Estrogen receptors (ERαversus ERβ): friends or foes in human biology?. Journal of Receptors and Signal Transduction. 34(1). 1–5. 25 indexed citations
10.
Arnott, John A., et al.. (2012). Antiproliferative factor regulates connective tissue growth factor (CTGF/CCN2) expression in T24 bladder carcinoma cells. Molecular Biology of the Cell. 23(10). 1976–1985. 15 indexed citations
11.
Popoff, Steven N., et al.. (2012). Ets-1 Is Essential for Connective Tissue Growth Factor (CTGF/CCN2) Induction by TGF-β1 in Osteoblasts. PLoS ONE. 7(4). e35258–e35258. 22 indexed citations
12.
Arnott, John A. & Sonia Lobo Planey. (2012). The influence of lipophilicity in drug discovery and design. Expert Opinion on Drug Discovery. 7(10). 863–875. 621 indexed citations breakdown →
13.
Arnott, John A., Christina Mundy, Robin A. Pixley, et al.. (2011). The Role of Connective Tissue Growth Factor (CTGF/CCN2) in Skeletogenesis. Critical Reviews in Eukaryotic Gene Expression. 21(1). 43–69. 96 indexed citations
14.
Khan, Shagufta H., John A. Arnott, & Raj Kumar. (2011). Naturally Occurring Osmolyte, Trehalose Induces Functional Conformation in an Intrinsically Disordered Activation Domain of Glucocorticoid Receptor. PLoS ONE. 6(5). e19689–e19689. 17 indexed citations
15.
Arnott, John A., Saqib Rehman, William G. DeLong, et al.. (2010). Src is a major signaling component for CTGF induction by TGF‐β1 in osteoblasts. Journal of Cellular Physiology. 224(3). 691–701. 32 indexed citations
16.
Arnott, John A., Archana Sanjay, Thomas A. Owen, et al.. (2008). Molecular requirements for induction of CTGF expression by TGF-β1 in primary osteoblasts. Bone. 42(5). 871–885. 45 indexed citations
17.
Arnott, John A., Mario C. Rico, Israel Arango‐Hisijara, et al.. (2006). Connective tissue growth factor (CTGF/CCN2) is a downstream mediator for TGF‐β1‐induced extracellular matrix production in osteoblasts. Journal of Cellular Physiology. 210(3). 843–852. 56 indexed citations
18.
Arnott, John A., et al.. (2003). Presence of Prepackaged mRNA in Virions of DNA Adenovirus. Journal of Biological Chemistry. 278(50). 50635–50640. 8 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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