Megan Parilla

38 total papers · 651 total citations
25 papers, 445 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 445 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, Primal de Lanerolle, 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

23 papers receiving 442 citations

Author Peers

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

Author Last Decade Papers Cites
Megan Parilla 286 203 82 64 52 25 445
Xiaoran Huang 188 0.7× 135 0.7× 43 0.5× 53 0.8× 56 1.1× 19 412
Stephen G. Romansky 133 0.5× 103 0.5× 98 1.2× 24 0.4× 69 1.3× 23 420
Sumegha Mitra 249 0.9× 66 0.3× 73 0.9× 94 1.5× 30 0.6× 16 485
Jodi A. Muscal 248 0.9× 78 0.4× 42 0.5× 64 1.0× 53 1.0× 27 467
Angela Ralte 108 0.4× 72 0.4× 76 0.9× 44 0.7× 54 1.0× 29 437
Metka Volavšek 159 0.6× 116 0.6× 33 0.4× 62 1.0× 148 2.8× 38 453
Patricia H. Hicks 212 0.7× 96 0.5× 119 1.5× 56 0.9× 22 0.4× 21 431
Sharmini Alagaratnam 271 0.9× 47 0.2× 27 0.3× 81 1.3× 81 1.6× 14 408
Zongming Lin 225 0.8× 132 0.7× 32 0.4× 99 1.5× 32 0.6× 19 395
Ana Pestana 196 0.7× 46 0.2× 74 0.9× 54 0.8× 41 0.8× 26 464

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

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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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