Danielle E. Dorosky

894 total citations · 1 hit paper
5 papers, 463 citations indexed

About

Danielle E. Dorosky is a scholar working on Infectious Diseases, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Danielle E. Dorosky has authored 5 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Molecular Biology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Danielle E. Dorosky's work include Viral Infections and Outbreaks Research (2 papers), Mosquito-borne diseases and control (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Danielle E. Dorosky is often cited by papers focused on Viral Infections and Outbreaks Research (2 papers), Mosquito-borne diseases and control (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Danielle E. Dorosky collaborates with scholars based in United States, Belgium and Brazil. Danielle E. Dorosky's co-authors include John M. Dye, David M. Kranz, Erik Procko, Kui K. Chan, Shawn A. Abbasi, Andrew S. Herbert, Preeti Sharma, Laura I. Prugar, Szu‐Yuan Pu and Shirit Einav and has published in prestigious journals such as Science, The Journal of Immunology and Journal of Medicinal Chemistry.

In The Last Decade

Danielle E. Dorosky

5 papers receiving 459 citations

Hit Papers

align trajectories

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.

Engineering human ACE2 to optimize binding to the spike protein of SARS coronavirus 2

2020 389 citations Kui K. Chan, Danielle E. Dorosky et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danielle E. Dorosky United States	4	339	195	68	54	45	5	463
Karoline Leopold Canada	7	237 0.7×	195 1.0×	51 0.8×	32 0.6×	37 0.8×	7	419
Liyang Ma China	9	289 0.9×	200 1.0×	52 0.8×	122 2.3×	31 0.7×	12	569
Aidong Qu China	3	323 1.0×	190 1.0×	57 0.8×	67 1.2×	67 1.5×	4	490
Peng-Nien Huang Taiwan	10	339 1.0×	206 1.1×	48 0.7×	36 0.7×	18 0.4×	14	550
Junwen Luan China	10	347 1.0×	146 0.7×	76 1.1×	74 1.4×	24 0.5×	15	614
Cameron Stewart United States	9	535 1.6×	234 1.2×	37 0.5×	54 1.0×	63 1.4×	21	642
Ahmed Mohammed Sudan	7	314 0.9×	183 0.9×	45 0.7×	47 0.9×	54 1.2×	13	458
Thi Khanh Le France	8	308 0.9×	230 1.2×	25 0.4×	37 0.7×	16 0.4×	11	497
Miya K. Bidon United States	4	587 1.7×	208 1.1×	70 1.0×	70 1.3×	26 0.6×	5	744
Yunru Yang China	11	357 1.1×	277 1.4×	26 0.4×	68 1.3×	81 1.8×	19	624

Countries citing papers authored by Danielle E. Dorosky

Since Specialization

Citations

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

Fields of papers citing papers by Danielle E. Dorosky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle E. Dorosky. 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 Danielle E. Dorosky. The network helps show where Danielle E. Dorosky may publish in the future.

Co-authorship network of co-authors of Danielle E. Dorosky

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

All Works

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5 of 5 papers shown

1.

Foreman, Taylor W., Christine E Nelson, Keith D. Kauffman, et al.. (2022). CD4 T cells are rapidly depleted from tuberculosis granulomas following acute SIV co-infection. Cell Reports. 39(9). 110896–110896. 18 indexed citations

2.

Chan, Kui K., Danielle E. Dorosky, Preeti Sharma, et al.. (2020). Engineering human ACE2 to optimize binding to the spike protein of SARS coronavirus 2. Science. 369(6508). 1261–1265. 389 indexed citations breakdown →

3.

Pu, Szu‐Yuan, Stanford Schor, Sirle Saul, et al.. (2020). BIKE regulates dengue virus infection and is a cellular target for broad-spectrum antivirals. Antiviral Research. 184. 104966–104966. 12 indexed citations

4.

Pu, Szu‐Yuan, F.J. Sorrell, Jonathan M. Elkins, et al.. (2019). Synthesis and Structure–Activity Relationships of 3,5-Disubstituted-pyrrolo[2,3-b]pyridines as Inhibitors of Adaptor-Associated Kinase 1 with Antiviral Activity. Journal of Medicinal Chemistry. 62(12). 5810–5831. 42 indexed citations

5.

Dorosky, Danielle E., Laura I. Prugar, Cecilia M. O’Brien, et al.. (2018). AAK1 and GAK inhibitors demonstrate activity against Filoviruses. The Journal of Immunology. 200(Supplement_1). 50.7–50.7. 2 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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