Les Huson

2.6k citations
23 papers · 1.9k · h-index 14

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

Les Huson

22 papers receiving 1.8k citations

Peers

Les Huson
Comparison fields: 5 of 120
  • Virology 312
  • Infectious Diseases 440
  • Nephrology 153
  • Reproductive Medicine 127
  • Epidemiology 382
Replace Ali Ramezani with:
Ali Ramezani United States
Hal F. Yee United States
Angélique Biancotto United States
Simon Ball United Kingdom
Prasun K. Datta United States
Robert Zangerle Austria
Andrea D. Branch United States
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Ashwani Khanna United States
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Citations per field
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Citations per year

Countries citing papers authored by Les Huson

Since Specialization
Citations

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

Fields of papers citing papers by Les Huson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Les Huson. 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 Les Huson. The network helps show where Les Huson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003494
2 1999385
3 2015169
4 2017141
5 2012134
6 2014107
7 2013107
8 200997
9 201770
10 201750
11 201540
12 200727
13 198718
14 200316
15 20069
16 19947
17 20132
18 20122
19 20062
20
The Bayesian Bootstrap in a Predictive Power Analysis
20141

About Les Huson

Les Huson is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism, Infectious Diseases, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (4 papers), Menopause: Health Impacts and Treatments (3 papers), Pulmonary Hypertension Research and Treatments (2 papers), Statistical Methods and Bayesian Inference (2 papers), Advanced Clustering Algorithms Research (1 paper), Diverse Scientific and Engineering Research (1 paper), Advanced Causal Inference Techniques (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Virology (312 citations), Infectious Diseases (440 citations), Nephrology (153 citations), Reproductive Medicine (127 citations) and Epidemiology (382 citations). Les Huson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Frederick G. Hayden, Dávid Paár, Robert L. Atmar, Casey Johnson, Donald M. Poretz, Roger Mills, M. Schilling, Penelope Ward, Miklos Salgo and Mark Nelson. Their work appears in journals such as Journal of Biopharmaceutical Statistics, New England Journal of Medicine, The Lancet, Human Reproduction and Clinical Journal of the American Society of Nephrology.

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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