Michael P. Hughes

2.1k total citations · 2 hit papers
20 papers, 1.4k citations indexed

About

Michael P. Hughes is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Michael P. Hughes has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Neurology. Recurrent topics in Michael P. Hughes's work include RNA Research and Splicing (9 papers), Protein Structure and Dynamics (5 papers) and Alzheimer's disease research and treatments (5 papers). Michael P. Hughes is often cited by papers focused on RNA Research and Splicing (9 papers), Protein Structure and Dynamics (5 papers) and Alzheimer's disease research and treatments (5 papers). Michael P. Hughes collaborates with scholars based in United States, China and Bulgaria. Michael P. Hughes's co-authors include David Eisenberg, M.R. Sawaya, José A. Rodríguez, David R. Boyer, Duilio Cascio, Roland Riek, Lukasz Goldschmidt, Lisa D. Chong, Tamir Gonen and Jiahui Lu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michael P. Hughes

20 papers receiving 1.4k 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.

Atomic structures of low-complexity protein segments reveal kinked β sheets that assemble networks

2018 343 citations Michael P. Hughes, M.R. Sawaya et al. Science profile →
The expanding amyloid family: Structure, stability, function, and pathogenesis

2021 267 citations M.R. Sawaya, Michael P. Hughes et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael P. Hughes United States	13	1.0k	456	356	162	111	20	1.4k
Xinrui Gui China	13	938 0.9×	319 0.7×	331 0.9×	185 1.1×	89 0.8×	18	1.4k
Benedetta Bolognesi Spain	19	982 0.9×	467 1.0×	145 0.4×	74 0.5×	94 0.8×	31	1.3k
Laura Tosatto Italy	17	563 0.5×	528 1.2×	481 1.4×	67 0.4×	74 0.7×	24	1.2k
Francesco Bemporad Italy	19	939 0.9×	628 1.4×	108 0.3×	130 0.8×	233 2.1×	45	1.2k
Diana Arseni United Kingdom	6	394 0.4×	342 0.8×	205 0.6×	60 0.4×	30 0.3×	7	648
Greta Hultqvist Sweden	23	717 0.7×	357 0.8×	83 0.2×	90 0.6×	101 0.9×	45	1.3k
Amanda Penco Italy	17	471 0.5×	269 0.6×	171 0.5×	51 0.3×	71 0.6×	23	772
Giorgio Favrin United Kingdom	11	504 0.5×	309 0.7×	77 0.2×	110 0.7×	132 1.2×	15	683
Dhiman Ghosh Switzerland	13	456 0.4×	289 0.6×	324 0.9×	55 0.3×	67 0.6×	22	878
Pierre O. Souillac United States	11	640 0.6×	528 1.2×	420 1.2×	121 0.7×	99 0.9×	12	1.2k

Countries citing papers authored by Michael P. Hughes

Since Specialization

Citations

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

Fields of papers citing papers by Michael P. Hughes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Hughes. 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 Michael P. Hughes. The network helps show where Michael P. Hughes may publish in the future.

Co-authorship network of co-authors of Michael P. Hughes

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

All Works

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20 of 20 papers shown

Hughes, Michael P.. (2025). Rethinking Cellular Organization: Phase Separation as a Unifying Principle in Molecular Biology. Journal of Molecular Biology. 437(22). 169367–169367. 1 indexed citations

Lu, Jiahui, P. Ge, M.R. Sawaya, et al.. (2023). Cryo-EM structures of the D290V mutant of the hnRNPA2 low-complexity domain suggests how D290V affects phase separation and aggregation. Journal of Biological Chemistry. 300(2). 105531–105531. 4 indexed citations

Mastrangelo, Peter, Hao Cai, Michael P. Hughes, et al.. (2022). A spatiotemporal reconstruction of the C. elegans pharyngeal cuticle reveals a structure rich in phase-separating proteins. eLife. 11. 13 indexed citations

Murray, Kevin A., Declan Evans, Michael P. Hughes, et al.. (2022). Extended β-Strands Contribute to Reversible Amyloid Formation. ACS Nano. 16(2). 2154–2163. 18 indexed citations

Rosenberg, Gregory M., Kevin A. Murray, Łukasz Salwiński, et al.. (2022). Bioinformatic identification of previously unrecognized amyloidogenic proteins. Journal of Biological Chemistry. 298(5). 101920–101920. 8 indexed citations

Murray, Kevin A., Michael P. Hughes, M.R. Sawaya, et al.. (2022). Identifying amyloid-related diseases by mapping mutations in low-complexity protein domains to pathologies. Nature Structural & Molecular Biology. 29(6). 529–536. 22 indexed citations

Hughes, Michael P., Lukasz Goldschmidt, & David Eisenberg. (2021). Prevalence and species distribution of the low-complexity, amyloid-like, reversible, kinked segment structural motif in amyloid-like fibrils. Journal of Biological Chemistry. 297(4). 101194–101194. 29 indexed citations

Sawaya, M.R., Michael P. Hughes, José A. Rodríguez, Roland Riek, & David Eisenberg. (2021). The expanding amyloid family: Structure, stability, function, and pathogenesis. Cell. 184(19). 4857–4873. 267 indexed citations breakdown →

Boyer, David R., Binsen Li, Chuanqi Sun, et al.. (2020). The α-synuclein hereditary mutation E46K unlocks a more stable, pathogenic fibril structure. Proceedings of the National Academy of Sciences. 117(7). 3592–3602. 137 indexed citations

10.

Lu, Jiahui, Qin Cao, Michael P. Hughes, et al.. (2020). CryoEM structure of the low-complexity domain of hnRNPA2 and its conversion to pathogenic amyloid. Nature Communications. 11(1). 4090–4090. 78 indexed citations

11.

Hughes, Michael P., et al.. (2019). DNA Facilitates Oligomerization and Prevents Aggregation via DNA Networks. Biophysical Journal. 118(1). 162–171. 12 indexed citations

12.

Guenther, E.L., Qin Cao, Hamilton Trinh, et al.. (2019). Author Correction: Atomic structures of TDP-43 LCD segments and insights into reversible or pathogenic aggregation. Nature Structural & Molecular Biology. 26(10). 988–988. 1 indexed citations

13.

Zhang, Nicole, Dasha Cherepanov, Dorothy Romanus, et al.. (2019). Estimating the Global Epidemiology of Amyloid Light-Chain Amyloidosis With an Incidence-to-Prevalence Model. Clinical Lymphoma Myeloma & Leukemia. 19(10). e339–e339. 2 indexed citations

14.

Hughes, Michael P., M.R. Sawaya, David R. Boyer, et al.. (2018). Atomic structures of low-complexity protein segments reveal kinked β sheets that assemble networks. Science. 359(6376). 698–701. 343 indexed citations breakdown →

15.

Guenther, E.L., Qin Cao, Hamilton Trinh, et al.. (2018). Atomic structures of TDP-43 LCD segments and insights into reversible or pathogenic aggregation. Nature Structural & Molecular Biology. 25(6). 463–471. 183 indexed citations

16.

Vogler, Thomas O., Joshua Wheeler, Éric Nguyen, et al.. (2018). TDP-43 and RNA form amyloid-like myo-granules in regenerating muscle. Nature. 563(7732). 508–513. 145 indexed citations

17.

Sangwan, Smriti, M.R. Sawaya, Kevin A. Murray, Michael P. Hughes, & David Eisenberg. (2018). Atomic structures of corkscrew‐forming segments of SOD1 reveal varied oligomer conformations. Protein Science. 27(7). 1231–1242. 23 indexed citations

18.

Eisenberg, David, M.R. Sawaya, Rebecca A. Nelson, et al.. (2015). The Amyloid State of Proteins. The FASEB Journal. 29(S1). 2 indexed citations

19.

Jiang, Lin, Cong Liu, D.J. Leibly, et al.. (2013). Structure-based discovery of fiber-binding compounds that reduce the cytotoxicity of amyloid beta. eLife. 2. e00857–e00857. 102 indexed citations

20.

Jiang, Lin, Cong Liu, D.J. Leibly, et al.. (2013). Correction: Structure-based discovery of fiber-binding compounds that reduce the cytotoxicity of amyloid beta. eLife. 2. 3 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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