Ohad Amit
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
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- Chronic Obstructive Pulmonary Disease (COPD) Research
- Respiratory Support and Mechanisms
- Respiratory and Cough-Related Research
Papers in
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- Statistical Methods in Clinical Trials 4
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- Phosphodiesterase function and regulation 2
- Co-authors
- Stephen I. Rennard (2 shared papers)Mary E. Strek (2 shared papers)Kathy Rickard (1 shared paper)Neil Schachter (1 shared paper)Richard M. Heiberger (1 shared paper)William D. Bushnell (2 shared papers)A Stone (2 shared papers)P. W. Lane (2 shared papers)
- Journals
- European Journal of Cancer (2 papers)Clinical Infectious Diseases (1 paper)The Oncologist (1 paper)The Lancet (1 paper)Pharmaceutical Statistics (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Ohad Amit
11 papers receiving 546 citations
Peers
Comparison fields: 5 of 77
- Statistics and Probability 73
- Pulmonary and Respiratory Medicine 217
- Physiology 163
- Emergency Medical Services 27
- Oncology 90
Countries citing papers authored by Ohad Amit
This map shows the geographic impact of Ohad Amit'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 Ohad Amit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ohad Amit more than expected).
Fields of papers citing papers by Ohad Amit
This network shows the impact of papers produced by Ohad Amit. 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 Ohad Amit. The network helps show where Ohad Amit may publish in the future.
Co-authors
The 25 scholars most cited alongside Ohad Amit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 164 | |
| 2 | 2006 | 91 | |
| 3 | 2011 | 80 | |
| 4 | 2008 | 70 | |
| 5 | 2007 | 48 | |
| 6 | 2011 | 42 | |
| 7 | 2010 | 30 | |
| 8 | 2018 | 27 | |
| 9 | 2006 | 27 | |
| 10 | 1997 | 8 | |
| 11 | 2013 | 3 | |
| 12 | 2012 | 0 |
About Ohad Amit
Ohad Amit is a scholar working on Statistics and Probability, Molecular Biology, Pharmacology, Oncology and Cancer Research, having authored 12 papers that have together received 590 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (4 papers), Phosphodiesterase function and regulation (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Carcinogens and Genotoxicity Assessment (1 paper), Cancer Genomics and Diagnostics (1 paper), Animal testing and alternatives (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Statistics and Probability (73 citations), Pulmonary and Respiratory Medicine (217 citations), Physiology (163 citations), Emergency Medical Services (27 citations) and Oncology (90 citations). Ohad Amit has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Stephen I. Rennard, Mary E. Strek, Kathy Rickard, Neil Schachter, Richard M. Heiberger, William D. Bushnell, A Stone, P. W. Lane, Jeffrey D. Helterbrand and C.H. Compton. Their work appears in journals such as European Journal of Cancer, Clinical Infectious Diseases, The Oncologist, The Lancet and Pharmaceutical Statistics.
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.