Maria McSharry

46 total papers · 520 total citations
8 papers, 327 citations indexed

About

Maria McSharry is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Maria McSharry has authored 8 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Oncology. Recurrent topics in Maria McSharry's work include RNA Research and Splicing (3 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers) and Immune Cell Function and Interaction (2 papers). Maria McSharry is often cited by papers focused on RNA Research and Splicing (3 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers) and Immune Cell Function and Interaction (2 papers). Maria McSharry collaborates with scholars based in United States and China. Maria McSharry's co-authors include Jeff Kwak, Mary C. Weiser-Evans, Joanna M. Poczobutt, Bonnie Bullock, Raphael A. Nemenoff, Trisha R. Sippel, Eric T. Clambey, Howard Li, Teresa T. Nguyen and Lynn E. Heasley and has published in prestigious journals such as Nature Genetics, Cancer Research and Cell Reports.

In The Last Decade

Maria McSharry

7 papers receiving 323 citations

Author Peers

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

Author						Papers	Cites
Maria McSharry	155	139	129	49	33	8	327
Amelia Au‐Yeung	175 1.1×	110 0.8×	173 1.3×	31 0.6×	20 0.6×	7	335
Roshanak Derakhshandeh	115 0.7×	99 0.7×	141 1.1×	55 1.1×	53 1.6×	9	280
Colin Purcell	117 0.8×	86 0.6×	180 1.4×	54 1.1×	54 1.6×	8	295
Antonia Banyard	169 1.1×	88 0.6×	200 1.6×	71 1.4×	46 1.4×	11	352
Jérémy Balland	155 1.0×	151 1.1×	211 1.6×	39 0.8×	72 2.2×	7	352
Gage Brummer	134 0.9×	96 0.7×	149 1.2×	25 0.5×	54 1.6×	8	333
Corey Gallen	137 0.9×	86 0.6×	135 1.0×	51 1.0×	45 1.4×	6	271
Yair Klieger	251 1.6×	102 0.7×	171 1.3×	22 0.4×	20 0.6×	8	366
Peiling Tsou	170 1.1×	106 0.8×	155 1.2×	40 0.8×	53 1.6×	6	335
Juan‐Manuel Hernandez‐Martinez	163 1.1×	71 0.5×	168 1.3×	68 1.4×	38 1.2×	12	316

Countries citing papers authored by Maria McSharry

Since Specialization

Citations

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

Fields of papers citing papers by Maria McSharry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria McSharry

This figure shows the co-authorship network connecting the top 25 collaborators of Maria McSharry. A scholar is included among the top collaborators of Maria McSharry 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 Maria McSharry. Maria McSharry 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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