Emily C. Troiano

800 total citations · 1 hit paper
6 papers, 527 citations indexed

About

Emily C. Troiano is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Emily C. Troiano has authored 6 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Genetics. Recurrent topics in Emily C. Troiano's work include Muscle Physiology and Disorders (2 papers), Vector-Borne Animal Diseases (2 papers) and Insect Resistance and Genetics (2 papers). Emily C. Troiano is often cited by papers focused on Muscle Physiology and Disorders (2 papers), Vector-Borne Animal Diseases (2 papers) and Insect Resistance and Genetics (2 papers). Emily C. Troiano collaborates with scholars based in United States, Australia and Canada. Emily C. Troiano's co-authors include Thomas N. Mather, Shahid Karim, Alan H. Beggs, Behzad Moghadaszadeh, Jeffrey J. Widrick, Emily M. King, Naftali Horwitz, Krystynne A Leacock, Simon Ye and Kim A. Lagerborg and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Annals of Neurology.

In The Last Decade

Emily C. Troiano

6 papers receiving 522 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Directed evolution of a family of AAV capsid variants enabling potent muscle-directed gene delivery across species

2021 292 citations Mohammadsharif Tabebordbar, Kim A. Lagerborg et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emily C. Troiano United States	6	419	183	106	41	37	6	527
Ghiabe-Henri Guibinga United States	15	473 1.1×	231 1.3×	41 0.4×	49 1.2×	43 1.2×	24	586
Ashley J. Waardenberg Australia	14	334 0.8×	59 0.3×	54 0.5×	11 0.3×	39 1.1×	26	486
Kim E. Wells United Kingdom	15	724 1.7×	276 1.5×	90 0.8×	70 1.7×	116 3.1×	25	896
Ángela Macia United States	12	880 2.1×	205 1.1×	30 0.3×	23 0.6×	28 0.8×	14	1.1k
Leath A. Tonkin United States	8	785 1.9×	152 0.8×	29 0.3×	11 0.3×	70 1.9×	8	913
Shifeng Xue Singapore	7	1.2k 2.8×	113 0.6×	63 0.6×	19 0.5×	11 0.3×	13	1.3k
María Gabriela Thomas Argentina	13	639 1.5×	60 0.3×	49 0.5×	26 0.6×	26 0.7×	28	829
Xuehong Xu United States	13	261 0.6×	70 0.4×	44 0.4×	15 0.4×	19 0.5×	26	443
Sravya Kommineni United States	5	727 1.7×	221 1.2×	25 0.2×	28 0.7×	55 1.5×	5	1.0k
Lynne Apone United States	9	910 2.2×	102 0.6×	26 0.2×	15 0.4×	20 0.5×	14	980

Countries citing papers authored by Emily C. Troiano

Since Specialization

Citations

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

Fields of papers citing papers by Emily C. Troiano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily C. Troiano. 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 Emily C. Troiano. The network helps show where Emily C. Troiano may publish in the future.

Co-authorship network of co-authors of Emily C. Troiano

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

All Works

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6 of 6 papers shown

1.

Tabebordbar, Mohammadsharif, Kim A. Lagerborg, Alexandra C. Stanton, et al.. (2021). Directed evolution of a family of AAV capsid variants enabling potent muscle-directed gene delivery across species. Cell. 184(19). 4919–4938.e22. 292 indexed citations breakdown →

2.

Pellerin, David, Benjamin Ellezam, Emily C. Troiano, et al.. (2020). Novel Recessive TNNT1 Congenital Core‐Rod Myopathy in French Canadians. Annals of Neurology. 87(4). 568–583. 15 indexed citations

3.

Guo, Yuxuan, Yangpo Cao, Blake D. Jardin, et al.. (2020). Sarcomeres regulate murine cardiomyocyte maturation through MRTF-SRF signaling. Proceedings of the National Academy of Sciences. 118(2). 56 indexed citations

4.

Shelton, G. Diane, Georgina Child, Sophia Tzannes, et al.. (2015). X-linked myotubular myopathy in Rottweiler dogs is caused by a missense mutation in Exon 11 of the MTM1 gene. Skeletal Muscle. 5(1). 1–1. 55 indexed citations

5.

Karim, Shahid, Emily C. Troiano, & Thomas N. Mather. (2010). Functional genomics tool: Gene silencing in Ixodes scapularis eggs and nymphs by electroporated dsRNA. BMC Biotechnology. 10(1). 1–1. 91 indexed citations

6.

Karim, Shahid, et al.. (2008). RNAi-mediated gene silencing in tick synganglia: a proof of concept study. BMC Biotechnology. 8(1). 30–30. 18 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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