Daniel Sanford
Impact in
- Virology top 10%
- Infectious Diseases top 10%
- Viral Infections and Outbreaks Research
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Bacillus and Francisella bacterial research 9
-
- Viral Infections and Outbreaks Research 6
- Viral Infections and Vectors 4
- Co-authors
- James W. DeWille (2 shared papers)Gabriel Meister (2 shared papers)Maggie Lewis (1 shared paper)Thi-Sau Migone (1 shared paper)Matt Devalaraja (1 shared paper)Jason Mott (1 shared paper)Sally D. Bolmer (1 shared paper)G. Mani Subramanian (1 shared paper)
- Journals
- Vaccine (3 papers)Antimicrobial Agents and Chemotherapy (3 papers)Biology (2 papers)PLoS neglected tropical diseases (2 papers)Vaccines (2 papers)
- Partner nations
- United StatesNetherlands
In The Last Decade
Daniel Sanford
29 papers receiving 654 citations
Peers
Comparison fields: 5 of 91
- Virology 43
- Infectious Diseases 156
- Biotechnology 72
- Molecular Biology 369
- Endocrine and Autonomic Systems 31
Countries citing papers authored by Daniel Sanford
This map shows the geographic impact of Daniel Sanford'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 Sanford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sanford more than expected).
Fields of papers citing papers by Daniel Sanford
This network shows the impact of papers produced by Daniel Sanford. 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 Sanford. The network helps show where Daniel Sanford may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sanford, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 232 | |
| 2 | 2004 | 43 | |
| 3 | 2016 | 38 | |
| 4 | 2013 | 36 | |
| 5 | 2016 | 32 | |
| 6 | 2004 | 30 | |
| 7 | 2013 | 26 | |
| 8 | 2019 | 23 | |
| 9 | 2021 | 22 | |
| 10 | 2017 | 22 | |
| 11 | 2010 | 22 | |
| 12 | 2017 | 21 | |
| 13 | 2018 | 20 | |
| 14 | 2011 | 19 | |
| 15 | 2020 | 18 | |
| 16 | 2023 | 13 | |
| 17 | 2013 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2022 | 9 |
About Daniel Sanford
Daniel Sanford is a scholar working on Molecular Biology, Infectious Diseases, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Epidemiology, having authored 30 papers that have together received 699 indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (9 papers), Viral Infections and Outbreaks Research (6 papers), Viral Infections and Vectors (4 papers), Regulation of Appetite and Obesity (4 papers), Neuropeptides and Animal Physiology (4 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Burkholderia infections and melioidosis (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Virology (43 citations), Infectious Diseases (156 citations), Biotechnology (72 citations), Molecular Biology (369 citations) and Endocrine and Autonomic Systems (31 citations). Daniel Sanford has collaborated with scholars based in United States and Netherlands. Frequent co-authors include James W. DeWille, Gabriel Meister, Maggie Lewis, Thi-Sau Migone, Matt Devalaraja, Jason Mott, Sally D. Bolmer, G. Mani Subramanian, Stephen J. Ullrich and John Zhong. Their work appears in journals such as Vaccine, Antimicrobial Agents and Chemotherapy, Biology, PLoS neglected tropical diseases and Vaccines.
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.