Amy Phillips

1.5k total citations
58 papers, 1.2k citations indexed

About

Amy Phillips is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Amy Phillips has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pathology and Forensic Medicine, 11 papers in Pulmonary and Respiratory Medicine and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Amy Phillips's work include Multiple Sclerosis Research Studies (22 papers), Acute Lymphoblastic Leukemia research (8 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Amy Phillips is often cited by papers focused on Multiple Sclerosis Research Studies (22 papers), Acute Lymphoblastic Leukemia research (8 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Amy Phillips collaborates with scholars based in United States, Germany and Italy. Amy Phillips's co-authors include Joseph Menzin, Natalie C. Edwards, Howard G. Birnbaum, Maria K. Houtchens, C. Faustman, Hemal Shah, Anastasia E. Raczek, Craig Conoscenti, Frederic D. Seifer and Clare E. Hawkins and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Medicine & Science in Sports & Exercise.

In The Last Decade

Amy Phillips

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy Phillips United States 20 447 351 234 155 116 58 1.2k
Janine Ouimet Canada 20 284 0.6× 93 0.3× 250 1.1× 465 3.0× 39 0.3× 44 1.3k
Kate Whitfield Spain 8 477 1.1× 80 0.2× 370 1.6× 78 0.5× 21 0.2× 14 1.3k
Yihe G. Daida United States 19 339 0.8× 131 0.4× 251 1.1× 168 1.1× 19 0.2× 95 1.5k
Marie L. Borum United States 18 63 0.1× 169 0.5× 223 1.0× 142 0.9× 36 0.3× 152 1.3k
Randi L. Wolf United States 26 378 0.8× 199 0.6× 605 2.6× 180 1.2× 48 0.4× 79 2.3k
Debra J. Palmer Australia 26 216 0.5× 130 0.4× 297 1.3× 790 5.1× 38 0.3× 92 2.4k
Kimberly K. Vesco United States 27 279 0.6× 72 0.2× 677 2.9× 85 0.5× 27 0.2× 85 2.8k
Tess Harris United States 13 118 0.3× 133 0.4× 116 0.5× 55 0.4× 128 1.1× 49 1.2k
Rhona Beynon United Kingdom 11 67 0.1× 126 0.4× 124 0.5× 89 0.6× 65 0.6× 23 960
Nathaniel C. Briggs United States 19 84 0.2× 63 0.2× 159 0.7× 40 0.3× 61 0.5× 28 906

Countries citing papers authored by Amy Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Amy Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy Phillips. 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 Amy Phillips. The network helps show where Amy Phillips may publish in the future.

Co-authorship network of co-authors of Amy Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of Amy Phillips. A scholar is included among the top collaborators of Amy Phillips 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 Amy Phillips. Amy Phillips 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.
Widga, Chris, et al.. (2024). HIGH ELEVATION BISON IN THE ROCKY MOUNTAIN FRONT RANGE DURING THE LATE HOLOCENE. Abstracts with programs - Geological Society of America.
2.
Hendin, Barry, et al.. (2023). The Clinical and Economic Impact of Employees Who Are Care Partners of Patients with Multiple Sclerosis by Disease Severity. Journal of health economics and outcomes research. 91–101. 2 indexed citations
3.
Wohlfeiler, Michael, Rachel Palmieri Weber, Laurence Brunet, et al.. (2023). Definition, Burden, and Predictors of HIV-Associated Wasting and Low Weight in the OPERA Cohort. AIDS Research and Human Retroviruses. 39(12). 636–643.
4.
5.
Phillips, Amy, et al.. (2023). Library of Congress Subject Headings: A Post-Coordinated Future. Cataloging & Classification Quarterly. 61(5-6). 491–505.
6.
Ross, Amy Perrin, et al.. (2023). Factors Associated With Disease-Modifying Therapy Adherence and Persistence in Multiple Sclerosis: A Scoping Literature Review. International Journal of MS Care. 25(5). 188–195. 2 indexed citations
7.
Ounpraseuth, Songthip, et al.. (2022). July Effect in Obstetric Outcomes. SHILAP Revista de lepidopterología. 3 indexed citations
8.
9.
Bowen, James D., Chris M Kozma, Megan Grosso, & Amy Phillips. (2018). A real-world comparison of relapse rates, healthcare costs and resource use among patients with multiple sclerosis newly initiating subcutaneous interferon beta-1a versus oral disease-modifying drugs. Multiple Sclerosis Journal - Experimental Translational and Clinical. 4(4). 2453238999–2453238999. 8 indexed citations
10.
Edwards, Natalie C., et al.. (2018). Comorbidity in US patients with multiple sclerosis. Patient Related Outcome Measures. Volume 9. 97–102. 47 indexed citations
11.
12.
Phillips, Amy, Maria K. Houtchens, & Natalie C. Edwards. (2017). Multiple Sclerosis Relapse Rates, Before, During, and After Pregnancy: a US Retrospective Claims Database Analysis (P1.361). Neurology. 88(16_supplement). 1 indexed citations
13.
Kozma, Chris M, Amy Phillips, & Dennis Meletiche. (2014). Use of an Early Disease-Modifying Drug Adherence Measure to Predict Future Adherence in Patients with Multiple Sclerosis. Journal of Managed Care Pharmacy. 20(8). 800–807. 12 indexed citations
14.
Ivanova, Jasmina, et al.. (2012). Impact of medication adherence to disease-modifying drugs on severe relapse, and direct and indirect costs among employees with multiple sclerosis in the US. Journal of Medical Economics. 15(3). 601–609. 100 indexed citations
15.
Phillips, Amy. (2011). Peripheral Intravenous (PIV) Catheter Extravasation Wound Care Guidelines. Journal of Pediatric Nursing. 26(4). e21–e21. 2 indexed citations
16.
Phillips, Amy, et al.. (2011). Does the Use of an Assistive Device by Nurses Impact Peripheral Intravenous Catheter Insertion Success in Children?. Journal of Pediatric Nursing. 27(2). 134–143. 26 indexed citations
17.
Phillips, Amy, et al.. (2009). A Case Study Examining the Effectiveness of Mechanical Diagnosis and Therapy in a Patient who Met the Clinical Prediction Rule for Spinal Manipulation. Journal of Manual & Manipulative Therapy. 17(4). 216–220. 6 indexed citations
18.
Ivanova, Jasmina I., et al.. (2009). The Cost of Disability and Medically Related Absenteeism Among Employees with Multiple Sclerosis in the US. PharmacoEconomics. 27(8). 681–691. 61 indexed citations
19.
Menzin, Joseph, Luke Boulanger, Jenő P. Marton, et al.. (2008). The economic burden of chronic obstructive pulmonary disease (COPD) in a U.S. Medicare population. Respiratory Medicine. 102(9). 1248–1256. 95 indexed citations
20.
Darkow, Theodore, Pamela Kadlubek, Hemal Shah, Amy Phillips, & J. Márton. (2007). A Retrospective Analysis of Disability and Its Related Costs Among Employees With Chronic Obstructive Pulmonary Disease. Journal of Occupational and Environmental Medicine. 49(1). 22–30. 30 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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