Emily Farrell

20 total papers · 617 total citations
8 papers, 476 citations indexed

About

Emily Farrell is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Emily Farrell has authored 8 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Emily Farrell's work include Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (6 papers) and Receptor Mechanisms and Signaling (2 papers). Emily Farrell is often cited by papers focused on Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (6 papers) and Receptor Mechanisms and Signaling (2 papers). Emily Farrell collaborates with scholars based in United States, France and Australia. Emily Farrell's co-authors include Héctor H. Valdivia, Nancy A. Benkusky, Ming Tao Jiang, Matthew R. Wolff, Robert A. Haworth, Andrew J. Lokuta, Ana M. Gómez, Anaid Antaramián, Angélica Rueda and Manorama C. John and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Emily Farrell

8 papers receiving 467 citations

Author Peers

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

Author						Papers	Cites
Emily Farrell	415	402	116	38	22	8	476
Brandy L. Akin	427 1.0×	364 0.9×	73 0.6×	25 0.7×	14 0.6×	9	485
Angela C. De Almeida	365 0.9×	377 0.9×	80 0.7×	31 0.8×	33 1.5×	4	496
Mingcai Zhao	436 1.1×	267 0.7×	108 0.9×	56 1.5×	8 0.4×	14	509
Jonas Herting	345 0.8×	400 1.0×	84 0.7×	14 0.4×	21 1.0×	14	499
Péter Szigligeti	295 0.7×	196 0.5×	123 1.1×	24 0.6×	18 0.8×	14	424
Raha Mohammad-Panah	463 1.1×	218 0.5×	127 1.1×	25 0.7×	14 0.6×	12	535
Adam P. Tomczak	353 0.9×	133 0.3×	115 1.0×	30 0.8×	9 0.4×	6	427
C.J. Grantham	415 1.0×	277 0.7×	274 2.4×	16 0.4×	13 0.6×	13	495
Chadwick L. Elias	315 0.8×	164 0.4×	123 1.1×	20 0.5×	34 1.5×	10	418
Marco Santonastasi	337 0.8×	425 1.1×	52 0.4×	10 0.3×	20 0.9×	4	505

Countries citing papers authored by Emily Farrell

Since Specialization

Citations

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

Fields of papers citing papers by Emily Farrell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Farrell

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