Mary K. O’Reilly

12 total papers · 683 total citations
10 papers, 545 citations indexed

About

Mary K. O’Reilly is a scholar working on Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mary K. O’Reilly has authored 10 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Organic Chemistry and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mary K. O’Reilly's work include Glycosylation and Glycoproteins Research (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Carbohydrate Chemistry and Synthesis (5 papers). Mary K. O’Reilly is often cited by papers focused on Glycosylation and Glycoproteins Research (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Carbohydrate Chemistry and Synthesis (5 papers). Mary K. O’Reilly collaborates with scholars based in United States, Canada and Ireland. Mary K. O’Reilly's co-authors include James C. Paulson, Hua Tian, Barbara Imperiali, Guofeng Zhang, Shoufa Han, Liang Liao, Jean Chmielewski, Lei Zhao, Michael D. Shultz and Eiton Kaltgrad and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Immunology and Biochemistry.

In The Last Decade

Mary K. O’Reilly

10 papers receiving 539 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mary K. O’Reilly	402	201	161	128	49	10	545
Emily D. Streaker	298 0.7×	121 0.6×	98 0.6×	156 1.2×	59 1.2×	21	600
Alex S. Powlesland	268 0.7×	282 1.4×	78 0.5×	88 0.7×	76 1.6×	11	506
Leclerc Claude	191 0.5×	279 1.4×	62 0.4×	113 0.9×	52 1.1×	11	496
Dennis Blakeslee	244 0.6×	130 0.6×	51 0.3×	80 0.6×	28 0.6×	20	547
L.M. Loomes	291 0.7×	157 0.8×	75 0.5×	124 1.0×	35 0.7×	14	571
T D Heath	367 0.9×	122 0.6×	45 0.3×	107 0.8×	27 0.6×	9	603
James H. Gilbert	280 0.7×	108 0.5×	141 0.9×	79 0.6×	34 0.7×	10	597
Lohitha Basa	445 1.1×	83 0.4×	119 0.7×	97 0.8×	31 0.6×	5	553
Michael Kubitz	358 0.9×	248 1.2×	47 0.3×	217 1.7×	21 0.4×	8	583
S Hirani	308 0.8×	172 0.9×	141 0.9×	76 0.6×	33 0.7×	10	516

Countries citing papers authored by Mary K. O’Reilly

Since Specialization

Citations

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

Fields of papers citing papers by Mary K. O’Reilly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary K. O’Reilly. 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 Mary K. O’Reilly. The network helps show where Mary K. O’Reilly may publish in the future.

Co-authorship network of co-authors of Mary K. O’Reilly

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

All Works

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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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