Philip J. Davis

7.1k total citations · 1 hit paper
154 papers, 5.1k citations indexed

About

Philip J. Davis is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Philip J. Davis has authored 154 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 27 papers in Surgery and 25 papers in Epidemiology. Recurrent topics in Philip J. Davis's work include Animal Virus Infections Studies (17 papers), Viral gastroenteritis research and epidemiology (13 papers) and Lipid Membrane Structure and Behavior (11 papers). Philip J. Davis is often cited by papers focused on Animal Virus Infections Studies (17 papers), Viral gastroenteritis research and epidemiology (13 papers) and Lipid Membrane Structure and Behavior (11 papers). Philip J. Davis collaborates with scholars based in Canada, United States and New Zealand. Philip J. Davis's co-authors include D. Cavanagh, Philip D. Rabinowitz, K. M. W. Keough, Reuben Hersh, A. P. A. Mockett, Jane K. A. Cook, William McGowen Priestley, J.H. Darbyshire, R.W. Peters and Mark J. Poznansky 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

Philip J. Davis

145 papers receiving 4.7k citations

Hit Papers

Methods of Numerical Integration 1976 2026 1992 2009 1976 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Methods of Numerical Integration
    1976 595 citations Philip J. Davis et al. profile →

Peers

Philip J. Davis
Richard J. Martin United States
J. E. Williams United States
Jason H. T. Bates United States
Yasuo Watanabe Japan
James R. Murphy United States
Yin Jiang China
Eldad Kepten Israel
Jarek Meller United States
Robert Powers United States
Koichi Takayama Japan
Richard J. Martin United States
Philip J. Davis
Citations per year, relative to Philip J. Davis Philip J. Davis (= 1×) peers Richard J. Martin

Countries citing papers authored by Philip J. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Philip J. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip J. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Davis. A scholar is included among the top collaborators of Philip J. Davis 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 Philip J. Davis. Philip J. Davis 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
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Terry, Douglas P., et al.. (2024). Examining the New Consensus Criteria for Traumatic Encephalopathy Syndrome in Community-Dwelling Older Adults. Journal of Neurotrauma. 41(7-8). 957–968. 3 indexed citations
3.
Leeies, Murdoch, Rhonda J. Rosychuk, Ke Xu, et al.. (2023). Intubation practices and outcomes for patients with suspected or confirmed COVID-19: a national observational study by the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN). Canadian Journal of Emergency Medicine. 25(4). 335–343. 4 indexed citations
4.
Davis, Philip J., et al.. (2021). Accuracy of health‐related information regarding COVID‐19 on Twitter during a global pandemic. World Medical & Health Policy. 13(3). 503–517. 19 indexed citations
5.
6.
Davis, Philip J., et al.. (2020). Viral and atypical respiratory co‐infections in COVID‐19: a systematic review and meta‐analysis. SHILAP Revista de lepidopterología. 1(4). 533–548. 32 indexed citations
7.
Davis, Philip J. & Dian Dowling Evans. (2017). Prevalence of Pulmonary Embolism in Patients Presenting to the Emergency Department for Syncope. Advanced Emergency Nursing Journal. 39(3). 161–167. 1 indexed citations
8.
Bailey, Jonathan G., Philip J. Davis, Adrian R. Levy, Michele Molinari, & Paul M. Johnson. (2016). The impact of adverse events on health care costs for older adults undergoing nonelective abdominal surgery. Canadian Journal of Surgery. 59(3). 172–179. 23 indexed citations
9.
Davis, Philip J., Jonathan G. Bailey, Michele Molinari, Jill A. Hayden, & Paul M. Johnson. (2015). The Impact of Nonelective Abdominal Surgery on the Residential Status of Older Adult Patients. Annals of Surgery. 263(2). 274–279. 11 indexed citations
10.
Buratto, Edward, Leonard Shan, Michael Yii, et al.. (2014). Predicting Adverse Outcomes in Elective Coronary Artery Bypass Graft Surgery using Pre-operative Troponin I Levels. Heart Lung and Circulation. 23(8). 711–716. 5 indexed citations
11.
Bailey, Jonathan G., et al.. (2013). Robotic versus laparoscopic Roux-en-Y gastric bypass (RYGB) in obese adults ages 18 to 65 years: a systematic review and economic analysis. Surgical Endoscopy. 28(2). 414–426. 61 indexed citations
12.
Sun, Ming, et al.. (2007). Biochemical analysis of the interaction of calcium with toposome: A major protein component of the sea urchin egg and embryo. Journal of Cellular Biochemistry. 103(5). 1464–1471. 13 indexed citations
13.
Cui, Guohui, et al.. (2006). Preparation and physical characterization of a novel marine oil emulsion as a potential new formulation vehicle for lipid soluble drugs. International Journal of Pharmaceutics. 325(1-2). 180–185. 8 indexed citations
14.
Stylopoulos, Nicholas, et al.. (2005). Changes in serum ghrelin predict weight loss after Roux-en-Y gastric bypass in rats. Surgical Endoscopy. 19(7). 942–946. 41 indexed citations
15.
Davis, Philip J., et al.. (1998). Isolation of highly cytolytic MDV strains from Germany and Spain. Avian Pathology. 27(3). 313–315. 9 indexed citations
16.
Nag, Kaushik, et al.. (1997). Cholesterol in condensed and fluid phosphatidylcholine monolayers studied by epifluorescence microscopy. Biophysical Journal. 72(6). 2569–2580. 94 indexed citations
17.
Morrow, Michael R., et al.. (1996). Thermal history alters cholesterol effect on transition of 1-palmitoyl-2-linoleoyl phosphatidylcholine. Biophysical Journal. 71(6). 3207–3214. 19 indexed citations
18.
Cavanagh, D. & Philip J. Davis. (1993). Sequence analysis of strains of avian infectious bronchitis coronavirus isolated during the 1960s in the U.K.. Archives of Virology. 130(3-4). 471–476. 22 indexed citations
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20.
Cavanagh, D. & Philip J. Davis. (1988). Evolution of Avian Coronavirus IBV: Sequence of the Matrix Glycoprotein Gene and Intergenic Region of Several Serotypes. Journal of General Virology. 69(3). 621–629. 59 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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