Sam Haidar
Impact in
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials
- Pharmaceutical Science top 2%
- Drug Solubulity and Delivery Systems
Papers in
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- Biosimilars and Bioanalytical Methods 8
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- Statistical Methods in Clinical Trials 6
- Co-authors
- Dale P. Conner (7 shared papers)Barbara M. Davit (7 shared papers)Lawrence X. Yu (6 shared papers)Patrick E. Nwakama (2 shared papers)Fairouz Makhlouf (4 shared papers)Donald J. Schuirmann (4 shared papers)Yongsheng Yang (1 shared paper)Janet Woodcock (1 shared paper)
- Journals
- The AAPS Journal (6 papers)Bioanalysis (5 papers)Pharmaceutical Research (4 papers)Journal of Pharmaceutical Sciences (2 papers)The Journal of Clinical Pharmacology (1 paper)
- Partner nations
- United StatesThailandSwitzerland
In The Last Decade
Sam Haidar
20 papers receiving 935 citations
Peers
Comparison fields: 5 of 100
- Statistics and Probability 265
- Pharmaceutical Science 148
- Pediatrics, Perinatology and Child Health 274
- Pharmacology 104
- Transplantation 31
Countries citing papers authored by Sam Haidar
This map shows the geographic impact of Sam Haidar'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 Sam Haidar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Haidar more than expected).
Fields of papers citing papers by Sam Haidar
This network shows the impact of papers produced by Sam Haidar. 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 Sam Haidar. The network helps show where Sam Haidar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Haidar, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 228 | |
| 2 | 2007 | 142 | |
| 3 | 2008 | 94 | |
| 4 | 2014 | 86 | |
| 5 | 2012 | 85 | |
| 6 | 2008 | 70 | |
| 7 | 1995 | 68 | |
| 8 | 2015 | 49 | |
| 9 | 1997 | 25 | |
| 10 | 2010 | 24 | |
| 11 | 2002 | 21 | |
| 12 | 2000 | 19 | |
| 13 | 1996 | 18 | |
| 14 | 2012 | 15 | |
| 15 | 1997 | 13 | |
| 16 | 2008 | 7 | |
| 17 | 2019 | 4 | |
| 18 | 2023 | 2 | |
| 19 | 2012 | 1 | |
| 20 | 2016 | 1 |
About Sam Haidar
Sam Haidar is a scholar working on Immunology, Statistics and Probability, Economics and Econometrics, Molecular Biology and Anesthesiology and Pain Medicine, having authored 21 papers that have together received 972 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (8 papers), Statistical Methods in Clinical Trials (6 papers), Pharmaceutical Economics and Policy (4 papers), Cell Image Analysis Techniques (3 papers), Anesthesia and Sedative Agents (3 papers), Drug Solubulity and Delivery Systems (2 papers), Analytical Methods in Pharmaceuticals (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Statistics and Probability (265 citations), Pharmaceutical Science (148 citations), Pediatrics, Perinatology and Child Health (274 citations), Pharmacology (104 citations) and Transplantation (31 citations). Sam Haidar has collaborated with scholars based in United States, Thailand and Switzerland. Frequent co-authors include Dale P. Conner, Barbara M. Davit, Lawrence X. Yu, Patrick E. Nwakama, Fairouz Makhlouf, Donald J. Schuirmann, Yongsheng Yang, Janet Woodcock, Robert Lionberger and Mei‐Ling Chen. Their work appears in journals such as The AAPS Journal, Bioanalysis, Pharmaceutical Research, Journal of Pharmaceutical Sciences and The Journal of Clinical Pharmacology.
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.