Daniel C. Propheter
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
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- IL-33, ST2, and ILC Pathways
- Galectins and Cancer Biology
Papers in
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- Glycosylation and Glycoproteins Research 4
- Retinoids in leukemia and cellular processes 2
- Gut microbiota and health 2
- Advanced Biosensing Techniques and Applications 2
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Lora V. Hooper (7 shared papers)Kelly A. Ruhn (5 shared papers)Tamia Harris-Tryon (4 shared papers)Sohini Mukherjee (1 shared paper)Hui Zheng (1 shared paper)Qiu‐Xing Jiang (1 shared paper)Michael Grabe (1 shared paper)M.G. Derebe (1 shared paper)
- Journals
- Molecular BioSystems (1 paper)Nature (1 paper)Cell Host & Microbe (1 paper)Proceedings of the National Academy of Sciences (1 paper)eLife (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Daniel C. Propheter
9 papers receiving 594 citations
Peers
Comparison fields: 5 of 86
- Microbiology 102
- Immunology 187
- Endocrinology 24
- Infectious Diseases 81
- Molecular Biology 318
Countries citing papers authored by Daniel C. Propheter
This map shows the geographic impact of Daniel C. Propheter'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 C. Propheter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Propheter more than expected).
Fields of papers citing papers by Daniel C. Propheter
This network shows the impact of papers produced by Daniel C. Propheter. 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 C. Propheter. The network helps show where Daniel C. Propheter may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Propheter, 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 | 2013 | 258 | |
| 2 | 2017 | 129 | |
| 3 | 2019 | 69 | |
| 4 | 2021 | 61 | |
| 5 | 2010 | 27 | |
| 6 | 2011 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2023 | 13 | |
| 9 | 2011 | 12 | |
| 10 | 2018 | 0 |
About Daniel C. Propheter
Daniel C. Propheter is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Microbiology, Nutrition and Dietetics and Biochemistry, having authored 10 papers that have together received 598 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Antimicrobial Peptides and Activities (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Retinoids in leukemia and cellular processes (2 papers), Gut microbiota and health (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Antioxidant Activity and Oxidative Stress (2 papers) and Vitamin C and Antioxidants Research (1 paper). The work is most often cited by research in Microbiology (102 citations), Immunology (187 citations), Endocrinology (24 citations), Infectious Diseases (81 citations) and Molecular Biology (318 citations). Daniel C. Propheter has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Lora V. Hooper, Kelly A. Ruhn, Tamia Harris-Tryon, Sohini Mukherjee, Hui Zheng, Qiu‐Xing Jiang, Michael Grabe, M.G. Derebe, Keith M. Callenberg and Carrie L. Partch. Their work appears in journals such as Molecular BioSystems, Nature, Cell Host & Microbe, Proceedings of the National Academy of Sciences and eLife.
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.