David Siegel
- General Health Professions top 2%
- Adolescent Sexual and Reproductive Health 8
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions 7
- Applied Mathematics top 5%
- Nonlinear Partial Differential Equations 7
- Virology top 10%
- Epidemiology top 10%
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- Gene Regulatory Network Analysis 8
- Microbial Metabolic Engineering and Bioproduction 4
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- Advanced Mathematical Modeling in Engineering 8
- Computational Drug Discovery Methods 4
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- Spacecraft and Cryogenic Technologies 4
- Co-authors
- Flora KrasnovskyMeg DurbinMindy Thompson FulliloveJoseph A. CataniaSusan M. KegelesJohn L. PetersonMatthew D. JohnstonThomas J. Coates
- Journals
- JAMA (2 papers)Nucleic Acids Research (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesCanadaHungary
In The Last Decade
David Siegel
80 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 158
- General Health Professions 578
- Infectious Diseases 396
- Applied Mathematics 132
- Virology 47
- Epidemiology 332
Countries citing papers authored by David Siegel
This map shows the geographic impact of David Siegel'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 Siegel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Siegel more than expected).
Fields of papers citing papers by David Siegel
This network shows the impact of papers produced by David Siegel. 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 Siegel. The network helps show where David Siegel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Siegel, 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 | 2024 | 0 | |
| 2 | 2021 | 34 | |
| 3 | 2014 | 88 | |
| 4 | 2014 | 78 | |
| 5 | The role of filamentation and vortex merging in coastal particle accumulation and transport | 2012 | 1 |
| 6 | Properties of the Lindemann mechanism in phase space\n | 2011 | 3 |
| 7 | 2011 | 16 | |
| 8 | Approximating symmetric capillary surfaces | 2006 | 6 |
| 9 | 2003 | 25 | |
| 10 | 2000 | 13 | |
| 11 | Antihypertensive drug use in the United States | 1998 | 1 |
| 12 | 1996 | 9 | |
| 13 | 1995 | 59 | |
| 14 | 1994 | 2 | |
| 15 | 1992 | 145 | |
| 16 | Arrhythmia risk for hypertensive men with left ventricular hypertrophy | 1991 | 1 |
| 17 | 1991 | 63 | |
| 18 | 1988 | 5 | |
| 19 | 1988 | 46 | |
| 20 | Tetracyclines: new look at old antibiotic. I. Clinical pharmacology, mechanism of action, and untoward effects. | 1978 | 7 |
About David Siegel
David Siegel is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Modeling and Simulation, having authored 81 papers that have together received 2.1k indexed citations. Recurring topics across this work include Adolescent Sexual and Reproductive Health (8 papers), Gene Regulatory Network Analysis (8 papers), Advanced Mathematical Modeling in Engineering (8 papers), Nonlinear Partial Differential Equations (7 papers), HIV/AIDS Research and Interventions (7 papers), Spacecraft and Cryogenic Technologies (4 papers), Computational Drug Discovery Methods (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). The work is most often cited by research in General Health Professions (578 citations), Infectious Diseases (396 citations) and Applied Mathematics (132 citations). David Siegel has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Flora Krasnovsky, Meg Durbin, Mindy Thompson Fullilove, Joseph A. Catania, Susan M. Kegeles, John L. Peterson, Matthew D. Johnston, Thomas J. Coates, Nancy Lazarus and Ralph J. DiClemente. Their work appears in journals such as JAMA, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.