Scott Sellers

5.3k total citations · 1 hit paper
6 papers, 1.4k citations indexed

About

Scott Sellers is a scholar working on Epidemiology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Scott Sellers has authored 6 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 2 papers in Molecular Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Scott Sellers's work include Monoclonal and Polyclonal Antibodies Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Protein purification and stability (2 papers). Scott Sellers is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Protein purification and stability (2 papers). Scott Sellers collaborates with scholars based in United States and United Kingdom. Scott Sellers's co-authors include Darius Babusis, Michael O. Clarke, Laura Bauer, Danielle Porter, Amy Sims, John J. Won, Tomáš Cihlář, Ralph S. Baric, Ariane J. Brown and Timothy P. Sheahan and has published in prestigious journals such as Nature Communications, Biophysical Journal and Experimental Biology and Medicine.

In The Last Decade

Scott Sellers

5 papers receiving 1.3k 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.

Comparative therapeutic efficacy of remdesivir and combination lopinavir, ritonavir, and interferon beta against MERS-CoV

2020 1.2k citations Timothy P. Sheahan, Amy Sims et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott Sellers United States	3	1.1k	301	205	139	134	6	1.4k
John J. Won United States	2	1.4k 1.3×	364 1.2×	194 0.9×	179 1.3×	124 0.9×	2	1.6k
Dustin S. Siegel United States	9	1.2k 1.1×	248 0.8×	255 1.2×	130 0.9×	177 1.3×	12	1.7k
Shamsah H. Al-Ahmed Saudi Arabia	17	773 0.7×	237 0.8×	215 1.0×	69 0.5×	127 0.9×	26	1.2k
Prathanporn Kaewpreedee Hong Kong	3	1.2k 1.1×	255 0.8×	182 0.9×	145 1.0×	120 0.9×	5	1.5k
Franck Touret France	18	1.3k 1.2×	181 0.6×	362 1.8×	207 1.5×	200 1.5×	46	1.8k
Subodh Kumar India	21	880 0.8×	222 0.7×	394 1.9×	333 2.4×	121 0.9×	74	1.6k
Dewald Schoeman South Africa	6	1.0k 1.0×	147 0.5×	345 1.7×	153 1.1×	78 0.6×	7	1.4k
Xianyue Wang China	9	1.3k 1.2×	213 0.7×	442 2.2×	158 1.1×	105 0.8×	13	1.9k
Maria L. Agostini United States	6	1.2k 1.2×	221 0.7×	244 1.2×	130 0.9×	163 1.2×	9	1.5k
Yanni Lai China	12	1.0k 1.0×	371 1.2×	307 1.5×	69 0.5×	141 1.1×	26	1.7k

Countries citing papers authored by Scott Sellers

Since Specialization

Citations

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

Fields of papers citing papers by Scott Sellers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Sellers

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

Sheahan, Timothy P., Amy Sims, Sarah R. Leist, et al.. (2020). Comparative therapeutic efficacy of remdesivir and combination lopinavir, ritonavir, and interferon beta against MERS-CoV. Nature Communications. 11(1). 222–222. 1241 indexed citations breakdown →

2.

Niedziela‐Majka, Anita, et al.. (2014). High-Throughput Screening of Formulations to Optimize the Thermal Stability of a Therapeutic Monoclonal Antibody. SLAS DISCOVERY. 20(4). 552–559. 33 indexed citations

3.

Kan, Elaine, et al.. (2014). High Throughput Screening of Formulations to Optimize the Thermal Stability of Therapeutic Monoclonal Antibody. Biophysical Journal. 106(2). 470a–470a. 2 indexed citations

4.

Moody, Adrian, Scott Sellers, & Nat Bumstead. (2000). Measuring infectious bursal disease virus RNA in blood by multiplex real-time quantitative RT-PCR. Journal of Virological Methods. 85(1-2). 55–64. 94 indexed citations

5.

Sellers, Scott, T.F. Davison, & Nat Bumstead. (1998). Quantitative analysis of Marek's disease vaccine virus in relation to host genetic resistance. Avian Pathology. 27(sup1). S89–S89. 1 indexed citations

6.

Sidwell, R. W., et al.. (1965). Effect of Host Weight Loss on Friend Leukemia Virus Infections in Swiss, DBA/2, and BALB/c Mice.. Experimental Biology and Medicine. 119(4). 1141–1147. 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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