Daniel Goldfarb
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
Papers in
-
- Influenza Virus Research Studies 3
- Respiratory viral infections research 2
-
- interferon and immune responses 1
- Co-authors
- Pablo R. Murcia (4 shared papers)Joanne Haney (2 shared papers)Meredith Stewart (1 shared paper)Agnieszka M. Szemiel (1 shared paper)Vanessa Herder (1 shared paper)Marc Baguelin (1 shared paper)Kurt S. Pregitzer (1 shared paper)Mairi Clarke (1 shared paper)
- Journals
- PLoS Pathogens (1 paper)Plant and Soil (1 paper)The Journal of Infectious Diseases (1 paper)Cellular Signalling (1 paper)Journal of Virology (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Daniel Goldfarb
9 papers receiving 279 citations
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 28
- Infectious Diseases 107
- Epidemiology 159
- Immunology 46
- Agronomy and Crop Science 21
Countries citing papers authored by Daniel Goldfarb
This map shows the geographic impact of Daniel Goldfarb'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 Goldfarb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Goldfarb more than expected).
Fields of papers citing papers by Daniel Goldfarb
This network shows the impact of papers produced by Daniel Goldfarb. 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 Goldfarb. The network helps show where Daniel Goldfarb may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Goldfarb, 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 | 2021 | 119 | |
| 2 | 2022 | 50 | |
| 3 | 2000 | 39 | |
| 4 | 2017 | 33 | |
| 5 | 1990 | 24 | |
| 6 | 2019 | 13 | |
| 7 | 2021 | 7 | |
| 8 | The Detection of Typhoid Bacilli in Water using the Increase of Phage Titre Reaction. | 1957 | 2 |
| 9 | 2009 | 1 |
About Daniel Goldfarb
Daniel Goldfarb is a scholar working on Epidemiology, Immunology, Infectious Diseases, Agronomy and Crop Science and Molecular Biology, having authored 9 papers that have together received 288 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Animal Disease Management and Epidemiology (2 papers), Respiratory viral infections research (2 papers), interferon and immune responses (1 paper), Infections and bacterial resistance (1 paper), Seedling growth and survival studies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Modeling and Simulation (28 citations), Infectious Diseases (107 citations), Epidemiology (159 citations), Immunology (46 citations) and Agronomy and Crop Science (21 citations). Daniel Goldfarb has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Pablo R. Murcia, Joanne Haney, Meredith Stewart, Agnieszka M. Szemiel, Vanessa Herder, Marc Baguelin, Kurt S. Pregitzer, Mairi Clarke, Swetha Víjayakríshnan and Margaret Mullin. Their work appears in journals such as PLoS Pathogens, Plant and Soil, The Journal of Infectious Diseases, Cellular Signalling and Journal of Virology.
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.