Maria McSharry

533 total citations
8 papers, 330 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 330 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), Immune Cell Function and Interaction (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Maria McSharry is often cited by papers focused on RNA Research and Splicing (3 papers), Immune Cell Function and Interaction (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Maria McSharry collaborates with scholars based in United States, South Africa and China. Maria McSharry's co-authors include Raphael A. Nemenoff, Howard Li, Trisha R. Sippel, Joanna M. Poczobutt, Mary C. Weiser-Evans, Eric T. Clambey, Jeff Kwak, Bonnie Bullock, 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 326 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria McSharry United States	5	157	141	129	49	33	8	330
Juan‐Manuel Hernandez‐Martinez Mexico	6	164 1.0×	71 0.5×	168 1.3×	68 1.4×	38 1.2×	13	318
David O. Rosenberg United States	2	135 0.9×	103 0.7×	230 1.8×	31 0.6×	51 1.5×	2	340
Tsun Ki Jerrick To United States	3	143 0.9×	99 0.7×	81 0.6×	26 0.5×	47 1.4×	4	241
Adnan Deronic Sweden	10	195 1.2×	98 0.7×	126 1.0×	24 0.5×	21 0.6×	14	289
Timm Hoeres Germany	8	207 1.3×	78 0.6×	166 1.3×	48 1.0×	12 0.4×	10	322
Corinna U. Brehm Germany	4	97 0.6×	147 1.0×	170 1.3×	39 0.8×	86 2.6×	6	326
Dang-Nghiem Vo France	9	160 1.0×	116 0.8×	102 0.8×	14 0.3×	41 1.2×	13	313
Zachary T. Kneass United States	4	131 0.8×	265 1.9×	82 0.6×	26 0.5×	26 0.8×	4	354
Edgar Montes-Servín Mexico	7	196 1.2×	58 0.4×	171 1.3×	42 0.9×	43 1.3×	15	324
Won Seon Bang South Korea	9	224 1.4×	124 0.9×	256 2.0×	40 0.8×	61 1.8×	10	386

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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8 of 8 papers shown

1.

Rominger, Marga B., Saksham Gupta, Sitapriya Moorthi, et al.. (2025). Mutant RIT1 cooperates with YAP to drive an EMT-like lung cancer state. Cell Reports. 44(10). 116185–116185.

2.

McSharry, Maria, et al.. (2022). Oncogenic KRAS alters splicing factor phosphorylation and alternative splicing in lung cancer. BMC Cancer. 22(1). 1315–1315. 6 indexed citations

3.

Fang, Lishan, Maria McSharry, David Haan, et al.. (2021). eVIP2: Expression-based variant impact phenotyping to predict the function of gene variants. PLoS Computational Biology. 17(7). e1009132–e1009132. 4 indexed citations

4.

Thomas, James D., Jacob T. Polaski, Qing Feng, et al.. (2020). RNA isoform screens uncover the essentiality and tumor-suppressor activity of ultraconserved poison exons. Nature Genetics. 52(1). 84–94. 72 indexed citations

5.

Li, Howard, Maria McSharry, Amber M. Johnson, et al.. (2018). Targeted overexpression of prostacyclin synthase inhibits lung tumor progression by recruiting CD4+ T lymphocytes in tumors that express MHC class II. OncoImmunology. 7(5). e1423182–e1423182. 16 indexed citations

6.

Kwak, Jeff, Jennifer Laskowski, Howard Li, et al.. (2017). Complement Activation via a C3a Receptor Pathway Alters CD4+ T Lymphocytes and Mediates Lung Cancer Progression. Cancer Research. 78(1). 143–156. 103 indexed citations

7.

Li, Howard, Maria McSharry, Bonnie Bullock, et al.. (2017). The Tumor Microenvironment Regulates Sensitivity of Murine Lung Tumors to PD-1/PD-L1 Antibody Blockade. Cancer Immunology Research. 5(9). 767–777. 128 indexed citations

8.

Li, Howard, Maria McSharry, Eric T. Clambey, et al.. (2016). Abstract A122: Non-small cell lung cancer cells induce PD-L1 expression in the tumor microenvironment in an orthotopic mouse model of lung cancer. Cancer Immunology Research. 4(1_Supplement). A122–A122. 1 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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