Ema T. Crooks

20 total papers · 1.4k total citations
11 papers, 315 citations indexed

About

Ema T. Crooks is a scholar working on Virology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ema T. Crooks has authored 11 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Virology, 4 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ema T. Crooks's work include HIV Research and Treatment (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and HIV/AIDS drug development and treatment (3 papers). Ema T. Crooks is often cited by papers focused on HIV Research and Treatment (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and HIV/AIDS drug development and treatment (3 papers). Ema T. Crooks collaborates with scholars based in United States, Netherlands and Belgium. Ema T. Crooks's co-authors include James Μ. Binley, Keiko Osawa, Tommy Tong, Sylvie E. Blondelle, John M. Ostresh, Richard A. Houghten, James E. Robinson, Natàlia Reixach, William R. Schief and Cristian Apetrei and has published in prestigious journals such as Journal of Virology, Antimicrobial Agents and Chemotherapy and PLoS Pathogens.

In The Last Decade

Ema T. Crooks

11 papers receiving 309 citations

Author Peers

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

Author						Papers	Cites
Ema T. Crooks	234	153	109	81	55	11	315
Lillian S. Kuo	197 0.8×	145 0.9×	72 0.7×	21 0.3×	113 2.1×	12	341
David Easterhoff	144 0.6×	95 0.6×	92 0.8×	39 0.5×	63 1.1×	13	233
Lawrence J. Tartaglia	139 0.6×	149 1.0×	73 0.7×	47 0.6×	74 1.3×	13	307
Aafke Land	173 0.7×	132 0.9×	77 0.7×	26 0.3×	94 1.7×	9	288
Joseph S. Redman	89 0.4×	153 1.0×	20 0.2×	57 0.7×	81 1.5×	11	301
Aprille Rapista	60 0.3×	129 0.8×	93 0.9×	30 0.4×	32 0.6×	9	306
Marco Finotto	112 0.5×	130 0.8×	58 0.5×	51 0.6×	126 2.3×	7	315
Wilton B. Williams	202 0.9×	133 0.9×	134 1.2×	52 0.6×	99 1.8×	13	307
Ruimin Pan	227 1.0×	107 0.7×	167 1.5×	98 1.2×	87 1.6×	15	326
Denise Wagner	270 1.2×	92 0.6×	156 1.4×	81 1.0×	110 2.0×	6	309

Countries citing papers authored by Ema T. Crooks

Since Specialization

Citations

This map shows the geographic impact of Ema T. Crooks'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 Ema T. Crooks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ema T. Crooks more than expected).

Fields of papers citing papers by Ema T. Crooks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ema T. Crooks. 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 Ema T. Crooks. The network helps show where Ema T. Crooks may publish in the future.

Co-authorship network of co-authors of Ema T. Crooks

This figure shows the co-authorship network connecting the top 25 collaborators of Ema T. Crooks. A scholar is included among the top collaborators of Ema T. Crooks 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 Ema T. Crooks. Ema T. Crooks 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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