Daniel R. Whiten

1.9k citations
20 papers · 1.1k indexed · 1 hit paper · h-index 15
Topics
Alzheimer's disease research and treatments (12 papers)Parkinson's Disease Mechanisms and Treatments (4 papers)Computational Drug Discovery Methods (3 papers)

In The Last Decade

Daniel R. Whiten

20 papers receiving 1.1k citations

Hit Papers

Different soluble aggregates of Aβ42 can give rise to cel...20192026202120232019100200300

Peers

Daniel R. Whiten
Comparison fields: 5 of 134
  • Molecular Biology 529
  • Physiology 450
  • Neurology 194
  • Cell Biology 138
  • Cellular and Molecular Neuroscience 98
Replace Craig D. Hughes with:
Craig D. Hughes United Kingdom
Derya Emin United Kingdom
Federico N. Soria Spain
Patrick Flagmeier United Kingdom
Franziska Kundel United Kingdom
Zengjie Xia United Kingdom
David C. Wirthensohn United Kingdom
Yumei Wu United States
Seok‐Kyu Kwon South Korea
Daniel R. Whiten relative to Craig D. Hughes United Kingdom Craig D. Hughes's profile →
Citations per field
00.5×1.5×2.2×
Craig D. Hughes · 1×
Citations per year

Countries citing papers authored by Daniel R. Whiten

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Whiten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Whiten. 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 Daniel R. Whiten. The network helps show where Daniel R. Whiten may publish in the future.

Co-authorship network of co-authors of Daniel R. Whiten

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Whiten. A scholar is included among the top collaborators of Daniel R. Whiten 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 Daniel R. Whiten. Daniel R. Whiten 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 11
2 2
3 15
4 24
5 43
6 6
7 12
8 18
9 126
10
Different soluble aggregates of Aβ42 can give rise to cellular toxicity through different mechanismsbreakdown →
387
11 75
12 103
13 58
14 13
15 39
16 44
17 51
18 18
19 22
20 24

About Daniel R. Whiten

Daniel R. Whiten is a scholar working on Physiology, Neurology and Biological Psychiatry, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Physiology (450 citations), Structural Biology (19 citations) and Biophysics (74 citations). Daniel R. Whiten has collaborated with scholars based in United Kingdom, Australia and Sweden. Frequent co-authors include David Klenerman, Christopher M. Dobson, Tuomas P. J. Knowles, Suman De, Michele Vendruscolo, Patrick Flagmeier, Francesco Simone Ruggeri, David C. Wirthensohn, Franziska Kundel and Francesco A. Aprile. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition 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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