Shawn M. Costello

486 total citations
9 papers, 184 citations indexed

About

Shawn M. Costello is a scholar working on Molecular Biology, Spectroscopy and Ecology. According to data from OpenAlex, Shawn M. Costello has authored 9 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Ecology. Recurrent topics in Shawn M. Costello's work include Mass Spectrometry Techniques and Applications (3 papers), Bacteriophages and microbial interactions (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Shawn M. Costello is often cited by papers focused on Mass Spectrometry Techniques and Applications (3 papers), Bacteriophages and microbial interactions (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Shawn M. Costello collaborates with scholars based in United States, Russia and Switzerland. Shawn M. Costello's co-authors include Susan Marqusee, Patrick J. Fleming, Karen G. Fleming, Ashlee M. Plummer, Annalee W. Nguyen, Ching‐Lin Hsieh, John E. Pak, Jason S. McLellan, Jennifer A. Maynard and Sophie R. Shoemaker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The FASEB Journal and Science Advances.

In The Last Decade

Shawn M. Costello

8 papers receiving 184 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shawn M. Costello United States	6	128	59	36	33	18	9	184
Ieva Drulyte Netherlands	7	159 1.2×	79 1.3×	17 0.5×	33 1.0×	23 1.3×	14	292
Mark A. Benhaim United States	6	132 1.0×	60 1.0×	16 0.4×	15 0.5×	28 1.6×	7	222
David A. Nyenhuis United States	10	165 1.3×	80 1.4×	33 0.9×	26 0.8×	10 0.6×	18	303
Marion Dosnon France	7	152 1.2×	28 0.5×	22 0.6×	40 1.2×	23 1.3×	7	275
Aldo R. Camacho‐Zarco France	10	247 1.9×	58 1.0×	25 0.7×	65 2.0×	35 1.9×	16	366
Elise Delaforge France	10	283 2.2×	74 1.3×	29 0.8×	96 2.9×	20 1.1×	17	437
Edgar A. Hodge United States	5	113 0.9×	62 1.1×	13 0.4×	13 0.4×	24 1.3×	9	201
Kien Nguyen United States	10	221 1.7×	156 2.6×	43 1.2×	16 0.5×	39 2.2×	15	328
Mallika Iyer United States	7	159 1.2×	63 1.1×	24 0.7×	15 0.5×	28 1.6×	12	275
Paige Solomon United States	6	165 1.3×	154 2.6×	27 0.8×	15 0.5×	12 0.7×	6	305

Countries citing papers authored by Shawn M. Costello

Since Specialization

Citations

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

Fields of papers citing papers by Shawn M. Costello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn M. Costello. 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 Shawn M. Costello. The network helps show where Shawn M. Costello may publish in the future.

Co-authorship network of co-authors of Shawn M. Costello

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

All Works

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9 of 9 papers shown

Arkinson, Connor, Ken C. Dong, Christine L. Gee, et al.. (2025). NUB1 traps unfolded FAT10 for ubiquitin-independent degradation by the 26S proteasome. Nature Structural & Molecular Biology. 32(9). 1752–1765. 4 indexed citations

Gupta, Sayan, et al.. (2024). Enabling simultaneous photoluminescence spectroscopy and X-ray footprinting mass spectrometry to study protein conformation and interactions. Analytical Methods. 17(6). 1214–1225.

Gupta, Sayan, Jamie L. Inman, Lieselotte Obst-Huebl, et al.. (2023). A Novel Platform for Evaluating Dose Rate Effects on Oxidative Damage to Peptides: Toward a High-Throughput Method to Characterize the Mechanisms Underlying the FLASH Effect. Radiation Research. 200(6). 523–530. 6 indexed citations

Farquhar, Erik R., Rohit Jain, Michael Sullivan, et al.. (2022). An automated liquid jet for fluorescence dosimetry and microsecond radiolytic labeling of proteins. Communications Biology. 5(1). 866–866. 7 indexed citations

Costello, Shawn M., Sophie R. Shoemaker, Annalee W. Nguyen, et al.. (2022). The SARS-CoV-2 spike reversibly samples an open-trimer conformation exposing novel epitopes. Nature Structural & Molecular Biology. 29(3). 229–238. 74 indexed citations

Reardon, Patrick N., et al.. (2022). Evolution avoids a pathological stabilizing interaction in the immune protein S100A9. Proceedings of the National Academy of Sciences. 119(41). e2208029119–e2208029119. 5 indexed citations

Samelson, Avi J., Eric R. Bolin, Shawn M. Costello, et al.. (2018). Kinetic and structural comparison of a protein’s cotranslational folding and refolding pathways. Science Advances. 4(5). 42 indexed citations

Fleming, Karen G., Shawn M. Costello, Ashlee M. Plummer, & Patrick J. Fleming. (2017). Periplasmic Chaperones Play Hot Potato With Unfolded Outer Membrane Proteins. The FASEB Journal. 31(S1). 1 indexed citations

Costello, Shawn M., Ashlee M. Plummer, Patrick J. Fleming, & Karen G. Fleming. (2016). Dynamic periplasmic chaperone reservoir facilitates biogenesis of outer membrane proteins. Proceedings of the National Academy of Sciences. 113(33). E4794–800. 45 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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