Paul M. Seidler

2.1k citations
28 papers · 1.5k indexed · h-index 16
Topics
Alzheimer's disease research and treatments (16 papers)Protein Structure and Dynamics (6 papers)Prion Diseases and Protein Misfolding (4 papers)

In The Last Decade

Paul M. Seidler

25 papers receiving 1.5k citations

Peers

Paul M. Seidler
Comparison fields: 5 of 115
  • Molecular Biology 766
  • Physiology 551
  • Materials Chemistry 336
  • Biomedical Engineering 206
  • Computational Theory and Mathematics 167
Replace Arjan P. Quist with:
Arjan P. Quist Sweden
David R. Boyer United States
Zhipu Luo China
Wei‐Feng Xue United Kingdom
N K Menon United States
Takahiro Watanabe‐Nakayama Japan
Seema Qamar United Kingdom
Silvia Campioni Switzerland
Bin Dai China
Vytautas Smirnovas Lithuania
Paul M. Seidler relative to Arjan P. Quist Sweden Arjan P. Quist's profile →
Citations per field
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Arjan P. Quist · 1×
Citations per year

Countries citing papers authored by Paul M. Seidler

Since Specialization
Citations

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

Fields of papers citing papers by Paul M. Seidler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul M. Seidler

This figure shows the co-authorship network connecting the top 25 collaborators of Paul M. Seidler. A scholar is included among the top collaborators of Paul M. Seidler 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 Paul M. Seidler. Paul M. Seidler 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 1
2 1
3 0
4 9
5 2
6 1
7 15
8 23
9 117
10 22
11 0
12 17
13 47
14 87
15 76
16 50
17 251
18 12
19 175
20 242

About Paul M. Seidler

Paul M. Seidler is a scholar working on Physiology, Pharmacology and Biomaterials, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (16 papers), Protein Structure and Dynamics (6 papers) and Prion Diseases and Protein Misfolding (4 papers). The work is most often cited by research in Structural Biology (56 citations), Physiology (551 citations) and Surfaces, Coatings and Films (112 citations). Paul M. Seidler has collaborated with scholars based in United States, Saudi Arabia and Taiwan. Frequent co-authors include Joonyeong Kim, David Eisenberg, Kevin A. Murray, M.R. Sawaya, José A. Rodríguez, Tamir Gonen, Duilio Cascio, David R. Boyer, Nicholas E. Kurland and Joungmo Cho. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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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