Huw D. Lewis

3.5k citations
46 papers · 2.1k indexed · h-index 23

Huw D. Lewis

45 papers receiving 2.1k citations

Peers

Huw D. Lewis
Comparison fields: 5 of 120
  • Physiology 978
  • Pharmacology 417
  • Computational Theory and Mathematics 290
  • Cellular and Molecular Neuroscience 329
  • Neurology 114
Replace Mary F. Knauer with:
Mary F. Knauer United States
Isabel Cardoso Portugal
Guriqbal S. Basi United States
Yichin Liu United States
Silva Hečimović Croatia
Mohammed A. Kashem United States
Lenka Munoz Australia
Christopher E. Heise United States
Andreas Langer Germany
Huw D. Lewis relative to Mary F. Knauer United States Mary F. Knauer's profile →
Citations per field
00.5×3.8×
Mary F. Knauer · 1×
Citations per year

Countries citing papers authored by Huw D. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Huw D. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huw D. Lewis. 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 Huw D. Lewis. The network helps show where Huw D. Lewis may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Huw D. Lewis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Huw D. Lewis Line = papers co-authored together Huw D. Lewis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202123
2 201818
3 201618
4 20168
5 20151
6 201017
7 2009144
8 200817
9 2007110
10 200614
11 200664
12 20064
13 2006125
14 200630
15
Secretase inhibitors for Alzheimer's disease: challenges of a promiscuous protease.
200551
16 200544
17 200576
18 200417
19 200325
20 200347

About Huw D. Lewis

Huw D. Lewis is a scholar working on Physiology, Pharmacology and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (21 papers), Cholinesterase and Neurodegenerative Diseases (11 papers), Computational Drug Discovery Methods (7 papers), Neuroscience and Neuropharmacology Research (6 papers), S100 Proteins and Annexins (5 papers), Nuclear Receptors and Signaling (5 papers), Histone Deacetylase Inhibitors Research (3 papers) and Prion Diseases and Protein Misfolding (3 papers). The work is most often cited by research in Physiology (978 citations), Pharmacology (417 citations) and Computational Theory and Mathematics (290 citations). Huw D. Lewis has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Mark S. Shearman, Dirk Beher, Earl E. Clarke, Alan Nadin, José L. Castro, Thomas W. Rosahl, Tim J. Harrison, Scott J. Pollack, Graeme I. Stevenson and Adrian L. Smith. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

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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