Daniel E. Platt
Impact in
- Genetics top 2%
- Forensic and Genetic Research
- Genetic Associations and Epidemiology
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
Papers in
- Genetics 33
- Forensic and Genetic Research 24
- Genetic Associations and Epidemiology 9
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- Computational Drug Discovery Methods 9
- Topological and Geometric Data Analysis 4
- Co-authors
- Laxmi Parida (15 shared papers)Takahiko Koyama (1 shared paper)B. D. Silverman (6 shared papers)Fereydoon Family (7 shared papers)Pierre Zalloua (31 shared papers)Barry R. Masters (1 shared paper)Isidore Rigoutsos (10 shared papers)Marc Haber (14 shared papers)
- Journals
- PLoS ONE (7 papers)Scientific Reports (5 papers)Molecular Biology and Evolution (3 papers)Atherosclerosis (2 papers)European Journal of Human Genetics (2 papers)
- Partner nations
- United StatesLebanonUnited Kingdom
In The Last Decade
Daniel E. Platt
76 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 154
- Genetics 1.1k
- Infectious Diseases 350
- Computational Theory and Mathematics 218
- Health Information Management 89
- Condensed Matter Physics 81
Countries citing papers authored by Daniel E. Platt
This map shows the geographic impact of Daniel E. Platt'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 Daniel E. Platt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Platt more than expected).
Fields of papers citing papers by Daniel E. Platt
This network shows the impact of papers produced by Daniel E. Platt. 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 Daniel E. Platt. The network helps show where Daniel E. Platt may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Platt, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 395 | |
| 2 | 1996 | 180 | |
| 3 | 2013 | 176 | |
| 4 | 1989 | 156 | |
| 5 | 2011 | 154 | |
| 6 | 2005 | 145 | |
| 7 | 2008 | 108 | |
| 8 | 2008 | 106 | |
| 9 | 2014 | 99 | |
| 10 | 2006 | 95 | |
| 11 | 2011 | 74 | |
| 12 | 2013 | 73 | |
| 13 | 2000 | 56 | |
| 14 | 2018 | 56 | |
| 15 | 2003 | 55 | |
| 16 | 2017 | 51 | |
| 17 | 2009 | 49 | |
| 18 | 2012 | 49 | |
| 19 | 2012 | 48 | |
| 20 | 1987 | 47 |
About Daniel E. Platt
Daniel E. Platt is a scholar working on Genetics, Computational Theory and Mathematics, Condensed Matter Physics, Mathematical Physics and Rheumatology, having authored 78 papers that have together received 2.9k indexed citations. Recurring topics across this work include Forensic and Genetic Research (24 papers), Computational Drug Discovery Methods (9 papers), Genetic Associations and Epidemiology (9 papers), Theoretical and Computational Physics (7 papers), Topological and Geometric Data Analysis (4 papers), Genomics and Phylogenetic Studies (4 papers), Lipoproteins and Cardiovascular Health (3 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Genetics (1.1k citations), Infectious Diseases (350 citations), Computational Theory and Mathematics (218 citations), Health Information Management (89 citations) and Condensed Matter Physics (81 citations). Daniel E. Platt has collaborated with scholars based in United States, Lebanon and United Kingdom. Frequent co-authors include Laxmi Parida, Takahiko Koyama, B. D. Silverman, Fereydoon Family, Pierre Zalloua, Barry R. Masters, Isidore Rigoutsos, Marc Haber, Chris Tyler‐Smith and R. Spencer Wells. Their work appears in journals such as PLoS ONE, Scientific Reports, Molecular Biology and Evolution, Atherosclerosis and European Journal of Human Genetics.
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.