Sean Powell

3.2k total citations · 2 hit papers
15 papers, 1.9k citations indexed

About

Sean Powell is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Plant Science. According to data from OpenAlex, Sean Powell has authored 15 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Plant Science. Recurrent topics in Sean Powell's work include Genomics and Phylogenetic Studies (6 papers), Genomics and Chromatin Dynamics (3 papers) and Machine Learning in Bioinformatics (3 papers). Sean Powell is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Genomics and Chromatin Dynamics (3 papers) and Machine Learning in Bioinformatics (3 papers). Sean Powell collaborates with scholars based in Germany, United States and Austria. Sean Powell's co-authors include Peer Bork, Christian von Mering, Michael Kuhn, Lars Juhl Jensen, Alexander Röth, Damian Szklarczyk, Kalliopi Trachana, Thomas Rattei, Tobias Doerks and Jean Muller and has published in prestigious journals such as Nature, Nucleic Acids Research and The Journal of Cell Biology.

In The Last Decade

Sean Powell

15 papers receiving 1.9k citations

Hit Papers

align trajectories sort by overperformance

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.

eggNOG v4.0: nested orthology inference across 3686 organisms

2013 492 citations Sean Powell, Sofia K. Forslund et al. Nucleic Acids Research profile →
The axolotl genome and the evolution of key tissue formation regulators

2018 346 citations Sergej Nowoshilow, Siegfried Schloissnig et al. Nature profile →

Author Peers

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

Author						Papers	Cites
Sean Powell	1.4k	404	314	276	155	15	1.9k
Siegfried Schloissnig	1.3k 1.0×	227 0.6×	223 0.7×	253 0.9×	144 0.9×	14	1.8k
Yan Sun	1.2k 0.9×	1.1k 2.8×	219 0.7×	372 1.3×	147 0.9×	135	2.6k
Bin Zhu	1.3k 0.9×	714 1.8×	182 0.6×	279 1.0×	113 0.7×	92	2.0k
Kalliopi Trachana	1.2k 0.9×	241 0.6×	271 0.9×	217 0.8×	92 0.6×	14	1.7k
Hajk‐Georg Drost	1.6k 1.2×	1.1k 2.7×	582 1.9×	355 1.3×	81 0.5×	31	3.0k
Shengkang Li	1.2k 0.9×	532 1.3×	360 1.1×	408 1.5×	48 0.3×	13	2.0k
Chungoo Park	1.0k 0.8×	269 0.7×	278 0.9×	363 1.3×	57 0.4×	83	1.7k
Yang Zhou	1.1k 0.8×	232 0.6×	230 0.7×	552 2.0×	96 0.6×	91	2.0k
Wenyan Nong	581 0.4×	184 0.5×	326 1.0×	199 0.7×	185 1.2×	58	1.2k

Countries citing papers authored by Sean Powell

Since Specialization

Citations

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

Fields of papers citing papers by Sean Powell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Powell

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

All Works

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15 of 15 papers shown

Sarkar, Soumyadev, Brent L. Adams, Bruno Vogt, et al.. (2025). Interaction of plant-derived metabolites and rhizobiome functions enhances drought stress tolerance. Genome biology. 26(1). 310–310. 3 indexed citations

Mikhael, Marian, Randa Perkins, Julie Hallanger‐Johnson, et al.. (2024). Suicide Risk Screening for Head and Neck Cancer Patients: An Implementation Study. Applied Clinical Informatics. 15(2). 404–413. 2 indexed citations

Martínez, Úrsula, Kea Turner, Sean Powell, et al.. (2023). Qualitative evaluation of the implementation and future sustainability of an e-referral system for smoking cessation at a US NCI-designated comprehensive cancer center: lessons learned. Supportive Care in Cancer. 31(8). 483–483. 1 indexed citations

Scherr, Matthias J, Hugo B. Brandão, Johanna Gassler, et al.. (2022). MCM complexes are barriers that restrict cohesin-mediated loop extrusion. Nature. 606(7912). 197–203. 86 indexed citations

Chatzidaki, Emmanouella E., et al.. (2021). Ovulation suppression protects against chromosomal abnormalities in mouse eggs at advanced maternal age. Current Biology. 31(18). 4038–4051.e7. 33 indexed citations

Silva, Mariana C.C., Sean Powell, Sabrina Ladstätter, et al.. (2020). Wapl releases Scc1-cohesin and regulates chromosome structure and segregation in mouse oocytes. The Journal of Cell Biology. 219(4). 26 indexed citations

Nowoshilow, Sergej, Siegfried Schloissnig, Ji‐Feng Fei, et al.. (2018). The axolotl genome and the evolution of key tissue formation regulators. Nature. 554(7690). 50–55. 346 indexed citations breakdown →

Grohme, Markus A., Siegfried Schloissnig, Andrei Rozanski, et al.. (2018). The genome of Schmidtea mediterranea and the evolution of core cellular mechanisms. Nature. 554(7690). 56–61. 149 indexed citations

Trachana, Kalliopi, Sofia K. Forslund, Tomas Larsson, et al.. (2014). A Phylogeny-Based Benchmarking Test for Orthology Inference Reveals the Limitations of Function-Based Validation. PLoS ONE. 9(11). e111122–e111122. 12 indexed citations

10.

Powell, Sean, Sofia K. Forslund, Damian Szklarczyk, et al.. (2013). eggNOG v4.0: nested orthology inference across 3686 organisms. Nucleic Acids Research. 42(D1). D231–D239. 492 indexed citations breakdown →

11.

Trachana, Kalliopi, Tomas Larsson, Sean Powell, et al.. (2011). Orthology prediction methods: A quality assessment using curated protein families. BioEssays. 33(10). 769–780. 97 indexed citations

12.

Powell, Sean, Damian Szklarczyk, Kalliopi Trachana, et al.. (2011). eggNOG v3.0: orthologous groups covering 1133 organisms at 41 different taxonomic ranges. Nucleic Acids Research. 40(D1). D284–D289. 411 indexed citations

13.

Muller, Jean, Damian Szklarczyk, P. Julien, et al.. (2009). eggNOG v2.0: extending the evolutionary genealogy of genes with enhanced non-supervised orthologous groups, species and functional annotations. Nucleic Acids Research. 38(suppl_1). D190–D195. 189 indexed citations

14.

Powell, Sean, Matthew Allison, & Michael Kalichman. (2007). Effectiveness of a responsible conduct of research course: a preliminary study. Science and Engineering Ethics. 13(2). 249–264. 62 indexed citations

15.

Murphy, Guinevere A., et al.. (2003). The Sir4 C-terminal Coiled Coil is Required for Telomeric and Mating Type Silencing in Saccharomyces cerevisiae. Journal of Molecular Biology. 334(4). 769–780. 26 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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