Megan Parilla

654 total citations
25 papers, 459 citations indexed

About

Megan Parilla is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Megan Parilla has authored 25 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Megan Parilla's work include Renal cell carcinoma treatment (6 papers), Cancer Genomics and Diagnostics (5 papers) and Tuberous Sclerosis Complex Research (4 papers). Megan Parilla is often cited by papers focused on Renal cell carcinoma treatment (6 papers), Cancer Genomics and Diagnostics (5 papers) and Tuberous Sclerosis Complex Research (4 papers). Megan Parilla collaborates with scholars based in United States and Australia. Megan Parilla's co-authors include Tatjana Antic, Lauren L. Ritterhouse, Jeremy P. Segal, Pankhuri Wanjari, Sabah Kadri, Jeremy Segal, Kammi Henriksen, Melissa Y. Tjota, Leonid Serebryannyy and Heather Chen and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Megan Parilla

24 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Megan Parilla United States 13 291 209 83 65 53 25 459
J. Conny van Munsteren Netherlands 11 256 0.9× 82 0.4× 36 0.4× 48 0.7× 109 2.1× 12 539
Sandrine Hayette France 16 164 0.6× 99 0.5× 175 2.1× 32 0.5× 26 0.5× 33 696
Angela Ralte India 12 109 0.4× 72 0.3× 76 0.9× 44 0.7× 55 1.0× 29 440
Kristin Andersen Norway 13 246 0.8× 137 0.7× 22 0.3× 136 2.1× 39 0.7× 55 499
Valentina d’Escamard United States 7 228 0.8× 159 0.8× 58 0.7× 40 0.6× 103 1.9× 15 539
Florence A. Arts Belgium 8 111 0.4× 121 0.6× 37 0.4× 32 0.5× 47 0.9× 9 369
Rajendrakumar S.V. Chadalavada United States 5 335 1.2× 167 0.8× 13 0.2× 126 1.9× 118 2.2× 6 447
Chiemi Saigo Japan 11 166 0.6× 94 0.4× 23 0.3× 84 1.3× 45 0.8× 50 362
Matt K. Lee United States 9 446 1.5× 191 0.9× 19 0.2× 79 1.2× 122 2.3× 12 670
Shijie Li China 11 337 1.2× 68 0.3× 37 0.4× 144 2.2× 85 1.6× 24 510

Countries citing papers authored by Megan Parilla

Since Specialization
Citations

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

Fields of papers citing papers by Megan Parilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Parilla

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Parilla. A scholar is included among the top collaborators of Megan Parilla 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 Megan Parilla. Megan Parilla 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.
Srikumar, Shabarinath, et al.. (2025). 1081 POLE-Mutated Endometrial Carcinomas with a Non-Ultra-Mutated Genome: A Case Series. Laboratory Investigation. 105(3). 103315–103315. 1 indexed citations
2.
Parilla, Megan, Andres Quesada, L. Jeffrey Medeiros, & Beenu Thakral. (2023). An update on genetic aberrations in T-cell neoplasms. Pathology. 55(3). 287–301. 5 indexed citations
3.
Mirza, Kamran, et al.. (2022). Toward a More Just System of Care in Molecular Pathology. Milbank Quarterly. 100(4). 1192–1242. 2 indexed citations
4.
Parilla, Megan, et al.. (2021). Benign vs malignant pancreatic lesions: Molecular insights to an ongoing debate. World Journal of Gastrointestinal Surgery. 13(5). 406–418. 7 indexed citations
5.
Parilla, Megan, et al.. (2020). A Tale of 2 Morphologies: Diagnostic Pitfalls in TFEB-Associated Renal Cell Carcinomas, Including a Novel NEAT1-TFEB Fusion. International Journal of Surgical Pathology. 29(1). 21–29. 5 indexed citations
6.
Tjota, Melissa Y., Heather Chen, Megan Parilla, et al.. (2020). Eosinophilic Renal Cell Tumors With a TSC and MTOR Gene Mutations Are Morphologically and Immunohistochemically Heterogenous. The American Journal of Surgical Pathology. 44(7). 943–954. 62 indexed citations
7.
Parilla, Megan & Lauren L. Ritterhouse. (2020). Beyond the Variants: Mutational Patterns in Next-Generation Sequencing Data for Cancer Precision Medicine. Frontiers in Cell and Developmental Biology. 8. 370–370. 5 indexed citations
8.
Bennett, Jennifer A., Ricardo R. Lastra, Julieta E. Barroeta, et al.. (2020). Uterine Tumor Resembling Ovarian Sex Cord Stromal Tumor (UTROSCT). The American Journal of Surgical Pathology. 44(11). 1563–1572. 35 indexed citations
9.
Gallan, Alexander J., Megan Parilla, Jeremy P. Segal, Lauren L. Ritterhouse, & Tatjana Antic. (2020). BAP1-Mutated Clear Cell Renal Cell Carcinoma. American Journal of Clinical Pathology. 155(5). 718–728. 40 indexed citations
10.
Ritterhouse, Lauren L., Jeremy P. Segal, Pankhuri Wanjari, et al.. (2020). Follicular Thyroid Neoplasms. The American Journal of Surgical Pathology. 44(7). 881–892. 19 indexed citations
11.
Ritterhouse, Lauren L., Megan Parilla, Chao Jie Zhen, et al.. (2019). Clinical Validation and Implementation of a Measurable Residual Disease Assay for NPM1 in Acute Myeloid Leukemia by Error-Corrected Next-Generation Sequencing. Molecular Diagnosis & Therapy. 23(6). 791–802. 13 indexed citations
12.
Parilla, Megan, et al.. (2019). An Evaluation of CD61 Immunohistochemistry in Identification of Vascular Invasion in Follicular Thyroid Neoplasms. Head and Neck Pathology. 14(2). 399–405. 12 indexed citations
13.
Parilla, Megan, Sabah Kadri, Lauren L. Ritterhouse, et al.. (2019). Genetic Underpinnings of Renal Cell Carcinoma With Leiomyomatous Stroma. The American Journal of Surgical Pathology. 43(8). 1135–1144. 34 indexed citations
14.
15.
Parilla, Megan, et al.. (2018). TCEB1-mutated renal cell carcinoma in relation to renal cell carcinoma with smooth muscle stroma in tuberous sclerosis complex.. Journal of Clinical Oncology. 36(6_suppl). 699–699.
16.
Parilla, Megan, Sabah Kadri, Lauren L. Ritterhouse, et al.. (2018). Are Sporadic Eosinophilic Solid and Cystic Renal Cell Carcinomas Characterized by Somatic Tuberous Sclerosis Gene Mutations?. The American Journal of Surgical Pathology. 42(7). 911–917. 56 indexed citations
17.
18.
Serebryannyy, Leonid, Michaela Yuen, Megan Parilla, Sandra T. Cooper, & Primal de Lanerolle. (2016). The Effects of Disease Models of Nuclear Actin Polymerization on the Nucleus. Frontiers in Physiology. 7. 454–454. 19 indexed citations
19.
Jones, Takako I., Megan Parilla, & Peter L. Jones. (2016). Transgenic Drosophila for Investigating DUX4 and FRG1, Two Genes Associated with Facioscapulohumeral Muscular Dystrophy (FSHD). PLoS ONE. 11(3). e0150938–e0150938. 14 indexed citations
20.
Chauhan, Chhavi, Claudia B. Zraly, Megan Parilla, Manuel O. Dı́az, & Andrew K. Dingwall. (2012). Histone recognition and nuclear receptor co-activator functions ofDrosophilaCara Mitad, a homolog of the N-terminal portion of mammalian MLL2 and MLL3. Development. 139(11). 1997–2008. 29 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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