W. H. Laverty

1000 citations
37 papers · 767 indexed · h-index 14

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
  • Urology top 5%
    • Periodontal Regeneration and Treatments

Papers in

W. H. Laverty

36 papers receiving 715 citations

Peers

W. H. Laverty
Comparison fields: 5 of 149
  • Neurology 290
  • Urology 72
  • Pharmacy 52
  • Equine 17
  • Neurology 62
Replace Sourabh Sharma with:
Sourabh Sharma India
Peter Weinstock United States
Bashar Hasan United States
A. Wennberg Sweden
Dong‐Young Kim South Korea
Anne Moore United States
K. Papageorgiou Greece
Murat Birtane Türkiye
Rongjiang Jin China
Shiwei Huang Australia
W. H. Laverty relative to Sourabh Sharma India Sourabh Sharma's profile →
Citations per field
00.5×10×15×18×
Sourabh Sharma · 1×
Citations per year

Countries citing papers authored by W. H. Laverty

Since Specialization
Citations

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

Fields of papers citing papers by W. H. Laverty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. H. Laverty. 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 W. H. Laverty. The network helps show where W. H. Laverty may publish in the future.

Co-authors

The 25 scholars most cited alongside W. H. Laverty, 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 W. H. Laverty Line = papers co-authored together W. H. Laverty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20212
2 20182
3 201513
4 20113
5 20111
6 20053
7 200210
8 20021
9 199870
10 19983
11 19967
12
Analysis of polymorphic variation in drug metabolism: I. Kernal density estimation.
19942
13 199213
14 1987116
15 198719
16 19865
17 19864
18 19847
19 1984107
20 198315

About W. H. Laverty

W. H. Laverty is a scholar working on Equine, Pharmacy, Statistics and Probability, Human-Computer Interaction and Urology, having authored 37 papers that have together received 767 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (3 papers), Pregnancy and preeclampsia studies (2 papers), Bayesian Methods and Mixture Models (2 papers), Child Nutrition and Feeding Issues (2 papers), Psychological Well-being and Life Satisfaction (2 papers), Birth, Development, and Health (2 papers), Time Series Analysis and Forecasting (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Neurology (290 citations), Urology (72 citations), Pharmacy (52 citations), Equine (17 citations) and Neurology (62 citations). W. H. Laverty has collaborated with scholars based in Canada, Australia and United Kingdom. Frequent co-authors include W. Stern, Ali H. Rajput, Ryan J. Uitti, I. W. Kelly, Jaime C. Pinilla, A. H. Rajput, Kate O’Donnell, Anish Dua, Denise O’Donnell and Christopher Arnold. Their work appears in journals such as International Journal of Human-Computer Studies, Journal of Periodontology, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Poultry Science and International Journal of Developmental Neuroscience.

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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