Daniel J. Snyder
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
-
- Antibiotic Use and Resistance
Papers in
-
- Bacterial biofilms and quorum sensing 7
- CRISPR and Genetic Engineering 2
- Genetics 5
- Evolution and Genetic Dynamics 5
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Vaughn S. Cooper (12 shared papers)Alfonso Santos-López (2 shared papers)C. W. Marshall (2 shared papers)Michelle R. Scribner (1 shared paper)M. Hong Nguyen (1 shared paper)Binghua Hao (1 shared paper)Shaoji Cheng (1 shared paper)Ellen G. Press (1 shared paper)
- Journals
- The ISME Journal (2 papers)Proceedings of the National Academy of Sciences (2 papers)eLife (2 papers)Clinical Infectious Diseases (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Daniel J. Snyder
17 papers receiving 796 citations
Peers
Comparison fields: 5 of 100
- Molecular Medicine 267
- Applied Microbiology and Biotechnology 57
- Endocrinology 75
- Microbiology 45
- Pharmacology 106
Countries citing papers authored by Daniel J. Snyder
This map shows the geographic impact of Daniel J. Snyder'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 J. Snyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Snyder more than expected).
Fields of papers citing papers by Daniel J. Snyder
This network shows the impact of papers produced by Daniel J. Snyder. 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 J. Snyder. The network helps show where Daniel J. Snyder may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Snyder, 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 | 2017 | 209 | |
| 2 | 2019 | 127 | |
| 3 | 2015 | 110 | |
| 4 | 2018 | 68 | |
| 5 | 2016 | 51 | |
| 6 | 2019 | 40 | |
| 7 | 2022 | 28 | |
| 8 | 2019 | 28 | |
| 9 | 2019 | 28 | |
| 10 | 2020 | 26 | |
| 11 | 2019 | 26 | |
| 12 | 2019 | 20 | |
| 13 | 2020 | 17 | |
| 14 | 2021 | 15 | |
| 15 | Barriers to Collection and Use of Patient-Reported Outcomes A Multi-Institutional Survey of Surgeons and Care Teams. | 2021 | 6 |
| 16 | Orthopedic Surgeon and Care Team Perceptions and Use of Patient-Reported Outcomes in Total Joint Replacement Patients. | 2021 | 2 |
| 17 | 2002 | 2 |
About Daniel J. Snyder
Daniel J. Snyder is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Endocrinology and Infectious Diseases, having authored 17 papers that have together received 803 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (7 papers), Evolution and Genetic Dynamics (5 papers), Antibiotic Resistance in Bacteria (4 papers), Vibrio bacteria research studies (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Bacterial Genetics and Biotechnology (2 papers), CRISPR and Genetic Engineering (2 papers) and Evolutionary Game Theory and Cooperation (2 papers). The work is most often cited by research in Molecular Medicine (267 citations), Applied Microbiology and Biotechnology (57 citations), Endocrinology (75 citations), Microbiology (45 citations) and Pharmacology (106 citations). Daniel J. Snyder has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Vaughn S. Cooper, Alfonso Santos-López, C. W. Marshall, Michelle R. Scribner, M. Hong Nguyen, Binghua Hao, Shaoji Cheng, Ellen G. Press, Ryan K. Shields and Brian A. Potoski. Their work appears in journals such as The ISME Journal, Proceedings of the National Academy of Sciences, eLife, Clinical Infectious Diseases and Antimicrobial Agents and Chemotherapy.
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.