Margaret M. Condron

9.0k citations
42 papers · 7.6k indexed · 6 hit papers · h-index 29
Topics
Alzheimer's disease research and treatments (34 papers)Protein Structure and Dynamics (15 papers)Computational Drug Discovery Methods (10 papers)

In The Last Decade

Margaret M. Condron

42 papers receiving 7.4k citations

Hit Papers

Amyloid β-Protein Fibrillogenesis199720262006201619972001199920092009250500750

Peers

Margaret M. Condron
Comparison fields: 5 of 118
  • Physiology 5.9k
  • Molecular Biology 4.4k
  • Computational Theory and Mathematics 1.5k
  • Pharmacology 1.4k
  • Biomaterials 1.1k
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Citations per field
00.5×1.6×
Saskia Milton · 1×
Citations per year

Countries citing papers authored by Margaret M. Condron

Since Specialization
Citations

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

Fields of papers citing papers by Margaret M. Condron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret M. Condron

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret M. Condron. A scholar is included among the top collaborators of Margaret M. Condron 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 Margaret M. Condron. Margaret M. Condron 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
#WorkIndexed citations
1 19
2 28
3 2
4 67
5 36
6 134
7
Amyloid-β protein oligomerization and the importance of tetramers and dodecamers in the aetiology of Alzheimer's diseasebreakdown →
803
8 70
9 78
10 30
11 99
12 115
13 98
14 87
15
The 'Arctic' APP mutation (E693G) causes Alzheimer's disease by enhanced Aβ protofibril formationbreakdown →
943
16 411
17 233
18 155
19
Amyloid β-Protein Fibrillogenesisbreakdown →
912
20
Amyloid β-Protein Fibrillogenesisbreakdown →
963

About Margaret M. Condron

Margaret M. Condron is a scholar working on Physiology, Computational Theory and Mathematics and Neurology, having authored 42 papers that have together received 7.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (34 papers), Protein Structure and Dynamics (15 papers) and Computational Drug Discovery Methods (10 papers). The work is most often cited by research in Physiology (5.9k citations), Computational Theory and Mathematics (1.5k citations) and Biomaterials (1.1k citations). Margaret M. Condron has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include David B. Teplow, Dominic M. Walsh, Aleksey Lomakin, George B. Benedek, Kenjiro Ono, Marina Kirkitadze, Dennis J. Selkoe, Dean M. Hartley, Gal Bitan and Youcef Fezoui. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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