Joan–Emma Shea

13.6k total citations · 2 hit papers
182 papers, 10.5k citations indexed

About

Joan–Emma Shea is a scholar working on Molecular Biology, Materials Chemistry and Physiology. According to data from OpenAlex, Joan–Emma Shea has authored 182 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Molecular Biology, 55 papers in Materials Chemistry and 48 papers in Physiology. Recurrent topics in Joan–Emma Shea's work include Protein Structure and Dynamics (115 papers), Alzheimer's disease research and treatments (48 papers) and Enzyme Structure and Function (46 papers). Joan–Emma Shea is often cited by papers focused on Protein Structure and Dynamics (115 papers), Alzheimer's disease research and treatments (48 papers) and Enzyme Structure and Function (46 papers). Joan–Emma Shea collaborates with scholars based in United States, Germany and Italy. Joan–Emma Shea's co-authors include Michael T. Bowers, Chun Wu, Andrij Baumketner, Charles L. Brooks, Summer L. Bernstein, Giovanni Bellesia, David B. Teplow, Thomas Wyttenbach, Gal Bitan and Nicholas Dupuis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Joan–Emma Shea

177 papers receiving 10.4k citations

Hit Papers

Amyloid-β protein oligomerization and the importance of t... 2009 2026 2014 2020 2009 2021 250 500 750

Peers

Joan–Emma Shea
Comparison fields: 5 of 142
  • Molecular Biology 7.3k
  • Physiology 3.7k
  • Materials Chemistry 2.5k
  • Biomaterials 1.5k
  • Spectroscopy 1.4k
Replace Buyong Ma with:
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Markus Zweckstetter Germany
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Buyong Ma United States View profile →
Citations per field, relative to Joan–Emma Shea
Joan–Emma Shea · 1×
Citations per year, relative to Joan–Emma Shea
Joan–Emma Shea · 1×

Countries citing papers authored by Joan–Emma Shea

Since Specialization
Citations

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

Fields of papers citing papers by Joan–Emma Shea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan–Emma Shea. 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 Joan–Emma Shea. The network helps show where Joan–Emma Shea may publish in the future.

Co-authorship network of co-authors of Joan–Emma Shea

This figure shows the co-authorship network connecting the top 25 collaborators of Joan–Emma Shea. A scholar is included among the top collaborators of Joan–Emma Shea 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 Joan–Emma Shea. Joan–Emma Shea 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
# Work Indexed citations
1 0
2 8
3 1
4 1
5 8
6 1
7 6
8
Moltemplate: A Tool for Coarse-Grained Modeling of Complex Biological Matter and Soft Condensed Matter Physics breakdown →
339
9 11
10 3
11 79
12 21
13 5
14 169
15
Interactions between Amyloid-β and Tau Fragments Promote Aberrant Aggregates: Implications for Amyloid Toxicity
1
16 83
17 44
18 122
19 77
20 90

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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