Darryl Aucoin

1.7k citations
11 papers · 1.5k indexed · 1 hit paper · h-index 11
Topics
Alzheimer's disease research and treatments (6 papers)Protein Structure and Dynamics (5 papers)Supramolecular Self-Assembly in Materials (5 papers)
Partner nations
United StatesJapan

In The Last Decade

Darryl Aucoin

11 papers receiving 1.5k citations

Hit Papers

Structural conversion of neurotoxic amyloid-β1–42 oligome...20102026201520202010250500750

Peers

Darryl Aucoin
Comparison fields: 5 of 85
  • Physiology 1.2k
  • Molecular Biology 856
  • Biomaterials 310
  • Computational Theory and Mathematics 253
  • Pharmacology 180
Replace Michele F. M. Sciacca with:
Michele F. M. Sciacca Italy
Zhefeng Guo United States
Sabrina S. Vollers United States
Melissa A. Moss United States
Haiyan Shao United States
Rabia Sarroukh Belgium
Youcef Fezoui United States
Kolla Rajasekhar India
Andisheh Abedini United States
Samuel A. Kotler United States
Darryl Aucoin relative to Michele F. M. Sciacca Italy Michele F. M. Sciacca's profile →
Citations per field
00.5×1.5×
Michele F. M. Sciacca · 1×
Citations per year

Countries citing papers authored by Darryl Aucoin

Since Specialization
Citations

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

Fields of papers citing papers by Darryl Aucoin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darryl Aucoin

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 23
2 54
3 70
4 73
5 14
6 189
7
Structural conversion of neurotoxic amyloid-β1–42 oligomers to fibrilsbreakdown →
949
8 23
9 76
10 21
11 11

About Darryl Aucoin

Darryl Aucoin is a scholar working on Biomaterials, Spectroscopy and Physiology, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Protein Structure and Dynamics (5 papers) and Supramolecular Self-Assembly in Materials (5 papers). The work is most often cited by research in Physiology (1.2k citations), Biomaterials (310 citations) and Computational Theory and Mathematics (253 citations). Darryl Aucoin has collaborated with scholars based in United States and Japan. Frequent co-authors include Steven O. Smith, William E. Van Nostrand, Judianne Davis, Mahiuddin Ahmed, Takeshi Sato, Shivani Ahuja, James I. Elliott, Saburo Aimoto, Ziao Fu and Ravi S. Kane. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

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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