David LeBlond
Impact in
- Anesthesiology and Pain Medicine top 10%
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Advanced Statistical Process Monitoring 16
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- Statistical Methods in Clinical Trials 12
- Co-authors
- Mary Saltarelli (2 shared papers)Gin C. Hsieh (1 shared paper)Peer B. Jacobson (1 shared paper)Shailen K. Joshi (1 shared paper)Ivan Correia (1 shared paper)Czeslaw Radziejewski (1 shared paper)Michael Decker (1 shared paper)Chang Zhu (1 shared paper)
- Journals
- Analytical Biochemistry (3 papers)Alzheimer s & Dementia (3 papers)Statistics in Biopharmaceutical Research (2 papers)AAPS PharmSciTech (2 papers)The AAPS Journal (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
David LeBlond
37 papers receiving 496 citations
Peers
Comparison fields: 5 of 103
- Anesthesiology and Pain Medicine 26
- Radiology, Nuclear Medicine and Imaging 103
- Pharmaceutical Science 29
- Statistics, Probability and Uncertainty 28
- Statistics and Probability 31
Countries citing papers authored by David LeBlond
This map shows the geographic impact of David LeBlond'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 David LeBlond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David LeBlond more than expected).
Fields of papers citing papers by David LeBlond
This network shows the impact of papers produced by David LeBlond. 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 David LeBlond. The network helps show where David LeBlond may publish in the future.
Co-authors
The 25 scholars most cited alongside David LeBlond, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 111 | |
| 2 | 2012 | 97 | |
| 3 | 2008 | 33 | |
| 4 | 2017 | 30 | |
| 5 | 2011 | 26 | |
| 6 | Multianalyte assay system developed for drugs of abuse. | 1993 | 24 |
| 7 | 2020 | 22 | |
| 8 | 2020 | 21 | |
| 9 | 1993 | 20 | |
| 10 | 2011 | 11 | |
| 11 | 2011 | 11 | |
| 12 | 1998 | 11 | |
| 13 | 1976 | 10 | |
| 14 | 1980 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2017 | 8 | |
| 17 | 1980 | 8 | |
| 18 | 2014 | 8 | |
| 19 | 2018 | 6 | |
| 20 | 2012 | 6 |
About David LeBlond
David LeBlond is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Molecular Biology, Spectroscopy and Pharmaceutical Science, having authored 42 papers that have together received 526 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (16 papers), Statistical Methods in Clinical Trials (12 papers), Drug Solubulity and Delivery Systems (5 papers), Pesticide Residue Analysis and Safety (5 papers), Optimal Experimental Design Methods (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Analytical Chemistry and Chromatography (4 papers) and Crystallization and Solubility Studies (4 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (26 citations), Radiology, Nuclear Medicine and Imaging (103 citations), Pharmaceutical Science (29 citations), Statistics, Probability and Uncertainty (28 citations) and Statistics and Probability (31 citations). David LeBlond has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mary Saltarelli, Gin C. Hsieh, Peer B. Jacobson, Shailen K. Joshi, Ivan Correia, Czeslaw Radziejewski, Michael Decker, Chang Zhu, Michaël Meyer and David Ouellette. Their work appears in journals such as Analytical Biochemistry, Alzheimer s & Dementia, Statistics in Biopharmaceutical Research, AAPS PharmSciTech and The AAPS Journal.
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.