Craig S. Ross

3.4k total citations
94 papers, 2.2k citations indexed

About

Craig S. Ross is a scholar working on Epidemiology, Physiology and Applied Psychology. According to data from OpenAlex, Craig S. Ross has authored 94 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Epidemiology, 32 papers in Physiology and 16 papers in Applied Psychology. Recurrent topics in Craig S. Ross's work include Substance Abuse Treatment and Outcomes (34 papers), Smoking Behavior and Cessation (32 papers) and Behavioral Health and Interventions (16 papers). Craig S. Ross is often cited by papers focused on Substance Abuse Treatment and Outcomes (34 papers), Smoking Behavior and Cessation (32 papers) and Behavioral Health and Interventions (16 papers). Craig S. Ross collaborates with scholars based in United States, United Kingdom and China. Craig S. Ross's co-authors include Michael Siegel, David H. Jernigan, Charles King, Joshua Ostroff, Stephen Goodbourn, William DeJong, Timothy S. Naimi, Richard E. Randall, Michael A. Skinner and Eric W. Fleegler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and Journal of Virology.

In The Last Decade

Craig S. Ross

88 papers receiving 2.1k citations

Peers

Craig S. Ross
Jami S. Leichliter United States
Philip O. Buck United States
Mary A. Gerend United States
Heena Brahmbhatt United States
Dale D. Chitwood United States
Christopher L. Williams Australia
Travis Salway Canada
James E. Egan United States
Margaret A. Newman United States
Lili Tian China
Jami S. Leichliter United States
Craig S. Ross
Citations per year, relative to Craig S. Ross Craig S. Ross (= 1×) peers Jami S. Leichliter

Countries citing papers authored by Craig S. Ross

Since Specialization
Citations

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

Fields of papers citing papers by Craig S. Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig S. Ross

This figure shows the co-authorship network connecting the top 25 collaborators of Craig S. Ross. A scholar is included among the top collaborators of Craig S. Ross 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 Craig S. Ross. Craig S. Ross 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.
Ekiri, Abel B., Scott M. Reid, Joe James, et al.. (2025). Evaluating the impact of avian paramyxovirus type 1 infection in poultry at live bird markets in Nigeria: defining hurdles to sustainable agriculture. BMC Veterinary Research. 21(1). 62–62. 1 indexed citations
2.
Byrne, Alexander M. P., Benjamin C. Mollett, Ian H. Brown, et al.. (2025). Phylogenetic analysis of pigeon paramyxovirus type 1 detected in the British Isles between 1983 and 2023. Virus Evolution. 11(1). veaf075–veaf075.
3.
Shabbir, Muhammad Zubair, Sahar Mahmood, Aziz Ul‐Rahman, Ashley C. Banyard, & Craig S. Ross. (2024). Genomic Diversity and Evolutionary Insights of Avian Paramyxovirus-1 in Avian Populations in Pakistan. Viruses. 16(9). 1414–1414. 2 indexed citations
4.
Ross, Craig S., Alexander M. P. Byrne, Sahar Mahmood, et al.. (2024). Genetic Analysis of H5N1 High-Pathogenicity Avian Influenza Virus following a Mass Mortality Event in Wild Geese on the Solway Firth. Pathogens. 13(1). 83–83. 9 indexed citations
5.
6.
Reid, Scott M., David Sutton, Craig S. Ross, et al.. (2023). Understanding the disease and economic impact of avirulent avian paramyxovirus type 1 (APMV-1) infection in Great Britain. Epidemiology and Infection. 151. e163–e163. 4 indexed citations
7.
Smith, Tanja, Martha M. O’Kennedy, Craig S. Ross, Nicola S. Lewis, & Célia Abolnik. (2023). The production of Newcastle disease virus-like particles in Nicotiana benthamiana as potential vaccines. Frontiers in Plant Science. 14. 1130910–1130910. 9 indexed citations
8.
Harlow, Alyssa F., Andrew Stokes, Daniel R. Brooks, et al.. (2022). Prospective association between e‐cigarette use frequency patterns and cigarette smoking abstinence among adult cigarette smokers in the United States. Addiction. 117(12). 3129–3139. 13 indexed citations
9.
Clements, Mark A., Alicia H. McAuliffe‐Fogarty, Kathryn Obrynba, et al.. (2021). The association between depression symptom endorsement and glycemic outcomes in adolescents with type 1 diabetes. Pediatric Diabetes. 23(2). 248–257. 15 indexed citations
10.
Garcia, Michael A., Garrett Rampon, Gheorghe Doros, et al.. (2021). Rationale and Design of the Awake Prone Position for Early Hypoxemia in COVID-19 Study Protocol: A Clinical Trial. Annals of the American Thoracic Society. 18(9). 1560–1566. 2 indexed citations
11.
James, Joe, Shelley Rhodes, Craig S. Ross, et al.. (2021). Comparison of Serological Assays for the Detection of SARS-CoV-2 Antibodies. Viruses. 13(4). 713–713. 20 indexed citations
12.
Long, Jason S., Alewo Idoko-Akoh, Bhakti Mistry, et al.. (2019). Species specific differences in use of ANP32 proteins by influenza A virus. eLife. 8. 67 indexed citations
13.
Siegel, Michael, Craig S. Ross, Alison B. Albers, et al.. (2015). The relationship between exposure to brand-specific alcohol advertising and brand-specific consumption among underage drinkers – United States, 2011–2012. The American Journal of Drug and Alcohol Abuse. 42(1). 4–14. 29 indexed citations
14.
Borzekowski, Dina L. G., Craig S. Ross, David H. Jernigan, William DeJong, & Michael Siegel. (2015). Patterns of Media Use and Alcohol Brand Consumption Among Underage Drinking Youth in the United States. Journal of Health Communication. 20(3). 314–320. 10 indexed citations
15.
Ross, Craig S., Michael Siegel, William DeJong, et al.. (2015). The Relationship Between Population-Level Exposure to Alcohol Advertising on Television and Brand-Specific Consumption Among Underage Youth in the US. Alcohol and Alcoholism. 50(3). 358–364. 32 indexed citations
16.
Jernigan, David H., Craig S. Ross, Joshua Ostroff, Lela R. McKnight-Eily, & Robert D. Brewer. (2013). Youth Exposure to Alcohol Advertising on Television — 25 Markets, United States, 2010. Journal of neurosurgery. 62(44). 877–880. 24 indexed citations
17.
Killip, Marian J., et al.. (2011). Failure to activate the IFN-β promoter by a paramyxovirus lacking an interferon antagonist. Virology. 415(1). 39–46. 35 indexed citations
18.
Cramer, Kenneth M., et al.. (2010). Efficacy of Electronic Voting: Addressing the Value of Clickers with New Research Controls. Scholarship at UWindsor (University of Windsor). 14. 30.
19.
King, Charles, et al.. (2009). Adolescent Exposure to Alcohol Advertising in Magazines: An Evaluation of Advertising Placement in Relation to Underage Youth Readership. Journal of Adolescent Health. 45(6). 626–633. 19 indexed citations
20.
Childs, Kay, Nicola Stock, Craig S. Ross, et al.. (2006). mda-5, but not RIG-I, is a common target for paramyxovirus V proteins. Virology. 359(1). 190–200. 256 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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