Marc I. Diamond

17.4k total citations · 10 hit papers
113 papers, 12.6k citations indexed

About

Marc I. Diamond is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marc I. Diamond has authored 113 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 68 papers in Physiology and 36 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marc I. Diamond's work include Alzheimer's disease research and treatments (68 papers), Prion Diseases and Protein Misfolding (37 papers) and Neurological diseases and metabolism (20 papers). Marc I. Diamond is often cited by papers focused on Alzheimer's disease research and treatments (68 papers), Prion Diseases and Protein Misfolding (37 papers) and Neurological diseases and metabolism (20 papers). Marc I. Diamond collaborates with scholars based in United States, Germany and Canada. Marc I. Diamond's co-authors include Bess Frost, Brandon B. Holmes, Keith R. Yamamoto, Jeffrey N. Miner, Steven K. Yoshinaga, David M. Holtzman, Jaime Vaquer‐Alicea, Najla Kfoury, David W. Sanders and Hilda Mirbaha and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Marc I. Diamond

112 papers receiving 12.4k citations

Hit Papers

Transcription Factor Interactions: Selectors of Positive ... 1990 2026 2002 2014 1990 2009 2014 2013 2009 250 500 750 1000

Peers

Marc I. Diamond
Lars M. Ittner Australia
Eileen McGowan United States
Jochen Herms Germany
Jada Lewis United States
G. William Rebeck United States
George A. Carlson United States
Lars M. Ittner Australia
Marc I. Diamond
Citations per year, relative to Marc I. Diamond Marc I. Diamond (= 1×) peers Lars M. Ittner

Countries citing papers authored by Marc I. Diamond

Since Specialization
Citations

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

Fields of papers citing papers by Marc I. Diamond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc I. Diamond. 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 Marc I. Diamond. The network helps show where Marc I. Diamond may publish in the future.

Co-authorship network of co-authors of Marc I. Diamond

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

All Works

20 of 20 papers shown
1.
Valdez, Clarissa, Anthony R. Vega, Omar M. Kashmer, et al.. (2025). VCP regulates early tau seed amplification via specific cofactors. Molecular Neurodegeneration. 20(1). 2–2. 5 indexed citations
2.
Xiao, Yufen, Xizhen Lian, Yehui Sun, et al.. (2025). High-density brush-shaped polymer lipids reduce anti-PEG antibody binding for repeated administration of mRNA therapeutics. Nature Materials. 24(11). 1840–1851. 21 indexed citations breakdown →
3.
Vaquer‐Alicea, Jaime, Peter Kunach, Ankit Gupta, et al.. (2025). Functional classification of tauopathy strains reveals the role of protofilament core residues. Science Advances. 11(4). eadp5978–eadp5978. 2 indexed citations
4.
Kunach, Peter, Jaime Vaquer‐Alicea, Robert Hopewell, et al.. (2024). Cryo-EM structure of Alzheimer’s disease tau filaments with PET ligand MK-6240. Nature Communications. 15(1). 8497–8497. 19 indexed citations
5.
Saha, Itika, Patricia Yuste‐Checa, Qiang Guo, et al.. (2023). The AAA+ chaperone VCP disaggregates Tau fibrils and generates aggregate seeds in a cellular system. Nature Communications. 14(1). 560–560. 39 indexed citations
6.
Perez, Valérie, et al.. (2023). DnaJC7 specifically regulates tau seeding. eLife. 12. 9 indexed citations
7.
Vaquer‐Alicea, Jaime, Anthony R. Vega, Bryan D. Ryder, et al.. (2023). Network of hotspot interactions cluster tau amyloid folds. Nature Communications. 14(1). 895–895. 16 indexed citations
8.
Chen, Dailu, Kenneth W. Drombosky, Zhiqiang Hou, et al.. (2019). Tau local structure shields an amyloid-forming motif and controls aggregation propensity. Nature Communications. 10(1). 2493–2493. 128 indexed citations
9.
Yamasaki, Tritia R., Brandon B. Holmes, Jennifer L. Furman, et al.. (2018). Parkinson’s disease and multiple system atrophy have distinct α-synuclein seed characteristics. Journal of Biological Chemistry. 294(3). 1045–1058. 145 indexed citations
10.
Saijo, Eri, Bernardino Ghetti, Gianluigi Zanusso, et al.. (2017). Ultrasensitive and selective detection of 3-repeat tau seeding activity in Pick disease brain and cerebrospinal fluid. Acta Neuropathologica. 133(5). 751–765. 104 indexed citations
11.
Stopschinski, Barbara E. & Marc I. Diamond. (2017). The prion model for progression and diversity of neurodegenerative diseases. The Lancet Neurology. 16(4). 323–332. 99 indexed citations
12.
Kaufman, Sarah K., David W. Sanders, Talitha L. Thomas, et al.. (2016). Tau Prion Strains Dictate Patterns of Cell Pathology, Progression Rate, and Regional Vulnerability In Vivo. Neuron. 92(4). 796–812. 318 indexed citations
13.
Wu, Jessica, S. Abid Hussaini, G Rodriguez, et al.. (2016). Neuronal activity enhances tau propagation and tau pathology in vivo. Nature Neuroscience. 19(8). 1085–1092. 574 indexed citations breakdown →
14.
Holmes, Brandon B. & Marc I. Diamond. (2016). Cellular Models for the Study of Prions. Cold Spring Harbor Perspectives in Medicine. 7(2). a024026–a024026. 17 indexed citations
15.
Holmes, Brandon B., Sarah L. DeVos, Najla Kfoury, et al.. (2013). Heparan sulfate proteoglycans mediate internalization and propagation of specific proteopathic seeds. Proceedings of the National Academy of Sciences. 110(33). E3138–47. 649 indexed citations breakdown →
16.
Bengoechea, Rocío, Shaughn Bell, Jieya Shao, et al.. (2013). Prion-like nuclear aggregation of TDP-43 during heat shock is regulated by HSP40/70 chaperones. Human Molecular Genetics. 23(1). 157–170. 98 indexed citations
17.
Fuentealba, Rodrigo A., Jayne Marasa, Marc I. Diamond, David Piwnica‐Worms, & Conrad C. Weihl. (2011). An aggregation sensing reporter identifies leflunomide and teriflunomide as polyglutamine aggregate inhibitors. Human Molecular Genetics. 21(3). 664–680. 26 indexed citations
18.
Diamond, Marc I., et al.. (2007). Polyglutamine diseases: emerging concepts in pathogenesis and therapy. Human Molecular Genetics. 16(R2). R115–R123. 214 indexed citations
19.
Čvoro, Aleksandra, Sreenivasan Paruthiyil, Jeremy O. Jones, et al.. (2006). Selective Activation of Estrogen Receptor-β Transcriptional Pathways by an Herbal Extract. Endocrinology. 148(2). 538–547. 60 indexed citations
20.
Schaufele, Fred, et al.. (2005). The structural basis of androgen receptor activation: Intramolecular and intermolecular amino–carboxy interactions. Proceedings of the National Academy of Sciences. 102(28). 9802–9807. 161 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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