Jay I. Phillips

539 total citations
9 papers, 349 citations indexed

About

Jay I. Phillips is a scholar working on Molecular Biology, Cancer Research and Health. According to data from OpenAlex, Jay I. Phillips has authored 9 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cancer Research and 1 paper in Health. Recurrent topics in Jay I. Phillips's work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (3 papers) and Molecular Biology Techniques and Applications (2 papers). Jay I. Phillips is often cited by papers focused on MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (3 papers) and Molecular Biology Techniques and Applications (2 papers). Jay I. Phillips collaborates with scholars based in United States, United Kingdom and Switzerland. Jay I. Phillips's co-authors include Julie A. Saugstad, Theresa A. Lusardi, Christina A. Harrington, Jodi Lapidus, Jack Wiedrick, Joseph F. Quinn, Stephanie J. Murphy, Lydia Dankmeyer, Scott Power and Paolo Nucíforo and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, Journal of Clinical Pathology and Journal of Alzheimer s Disease.

In The Last Decade

Jay I. Phillips

9 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay I. Phillips United States	7	230	183	46	38	36	9	349
Cristina Martín‐Granados United Kingdom	10	286 1.2×	39 0.2×	22 0.5×	16 0.4×	8 0.2×	14	417
Humaira Ayub Pakistan	11	197 0.9×	71 0.4×	11 0.2×	129 3.4×	37 1.0×	14	367
Christian Gauthier United States	9	107 0.5×	47 0.3×	54 1.2×	39 1.0×	84 2.3×	10	313
Subbulakshmi Chidambaram India	11	224 1.0×	33 0.2×	20 0.4×	63 1.7×	11 0.3×	28	331
Victor Bodart‐Santos Brazil	5	153 0.7×	51 0.3×	36 0.8×	13 0.3×	36 1.0×	6	241
Marcos Galán-Ganga Spain	6	163 0.7×	77 0.4×	17 0.4×	3 0.1×	38 1.1×	6	299
Kim D. Falkenberg Netherlands	6	188 0.8×	51 0.3×	40 0.9×	8 0.2×	10 0.3×	9	253
Jennifer A. Peterson United States	13	224 1.0×	45 0.2×	42 0.9×	409 10.8×	25 0.7×	17	539
Yimeng Zhu China	10	188 0.8×	36 0.2×	29 0.6×	5 0.1×	7 0.2×	22	358

Countries citing papers authored by Jay I. Phillips

Since Specialization

Citations

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

Fields of papers citing papers by Jay I. Phillips

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay I. Phillips

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

All Works

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9 of 9 papers shown

Duda, John E., et al.. (2022). Understanding health care needs among Veterans with Parkinson's disease: A survey study. Frontiers in Neurology. 13. 924999–924999. 1 indexed citations

Wiedrick, Jack, Jay I. Phillips, Theresa A. Lusardi, et al.. (2019). Validation of MicroRNA Biomarkers for Alzheimer’s Disease in Human Cerebrospinal Fluid. Journal of Alzheimer s Disease. 67(3). 875–891. 46 indexed citations

Lusardi, Theresa A., Jack Wiedrick, Jay I. Phillips, et al.. (2018). Analytics of Cerebrospinal Fluid MicroRNA Quantitative PCR Studies. Molecular Neurobiology. 56(7). 4988–4999. 1 indexed citations

Jayaram, Hari, Jay I. Phillips, Diana C. Lozano, et al.. (2017). Comparison of MicroRNA Expression in Aqueous Humor of Normal and Primary Open-Angle Glaucoma Patients Using PCR Arrays: A Pilot Study. Investigative Ophthalmology & Visual Science. 58(7). 2884–2884. 48 indexed citations

Lusardi, Theresa A., Jay I. Phillips, Jack Wiedrick, et al.. (2016). MicroRNAs in Human Cerebrospinal Fluid as Biomarkers for Alzheimer’s Disease. Journal of Alzheimer s Disease. 55(3). 1223–1233. 94 indexed citations

Murphy, Stephanie J., Theresa A. Lusardi, Jay I. Phillips, & Julie A. Saugstad. (2014). Sex differences in microRNA expression during developmentin rat cortex. Neurochemistry International. 77. 24–32. 31 indexed citations

Lusardi, Theresa A., Stephanie J. Murphy, Jay I. Phillips, et al.. (2014). MicroRNA responses to focal cerebral ischemia in male and female mouse brain. Frontiers in Molecular Neuroscience. 7. 11–11. 41 indexed citations

Belloni, Benedetta, Chiara Lambertini, Paolo Nucíforo, et al.. (2012). Will PAXgene substitute formalin? A morphological and molecular comparative study using a new fixative system. Journal of Clinical Pathology. 66(2). 124–135. 42 indexed citations

Goedegebuur, Frits, et al.. (2002). Cloning and relational analysis of 15 novel fungal endoglucanases from family 12 glycosyl hydrolase. Current Genetics. 41(2). 89–98. 45 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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