Daniel C. Shippy
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Food Science 17
- Salmonella and Campylobacter epidemiology 16
- Probiotics and Fermented Foods 5
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- Gut microbiota and health 4
- Co-authors
- Tyler K. Ulland (13 shared papers)Amin A. Fadl (12 shared papers)Gary W. Arendash (3 shared papers)Jennifer R. Cracchiolo (3 shared papers)William Schleif (2 shared papers)Jun Tan (2 shared papers)Edwin K. Jackson (1 shared paper)Kavon Rezai‐Zadeh (2 shared papers)
- Journals
- Microbial Pathogenesis (3 papers)Journal of Neuroimmunology (3 papers)Archives of Microbiology (2 papers)Alzheimer s & Dementia (2 papers)Current Microbiology (2 papers)
- Partner nations
- United States
In The Last Decade
Daniel C. Shippy
36 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Biological Psychiatry 152
- Neurology 210
- Physiology 94
- Physiology 320
- Endocrinology 53
Countries citing papers authored by Daniel C. Shippy
This map shows the geographic impact of Daniel C. Shippy'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. Shippy 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. Shippy more than expected).
Fields of papers citing papers by Daniel C. Shippy
This network shows the impact of papers produced by Daniel C. Shippy. 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. Shippy. The network helps show where Daniel C. Shippy may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Shippy, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 359 | |
| 2 | 2020 | 178 | |
| 3 | 2006 | 62 | |
| 4 | 2011 | 42 | |
| 5 | 2014 | 39 | |
| 6 | 2020 | 35 | |
| 7 | 2012 | 28 | |
| 8 | 2023 | 22 | |
| 9 | 2013 | 21 | |
| 10 | 2016 | 21 | |
| 11 | 2022 | 20 | |
| 12 | 2017 | 19 | |
| 13 | 2018 | 16 | |
| 14 | 2014 | 16 | |
| 15 | 2022 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2015 | 15 | |
| 18 | 2011 | 14 | |
| 19 | 2015 | 14 | |
| 20 | 2013 | 13 |
About Daniel C. Shippy
Daniel C. Shippy is a scholar working on Food Science, Molecular Biology, Physiology, Infectious Diseases and Neurology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (16 papers), Alzheimer's disease research and treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Tryptophan and brain disorders (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Probiotics and Fermented Foods (5 papers), Bacteriophages and microbial interactions (4 papers) and Gut microbiota and health (4 papers). The work is most often cited by research in Biological Psychiatry (152 citations), Neurology (210 citations), Physiology (94 citations), Physiology (320 citations) and Endocrinology (53 citations). Daniel C. Shippy has collaborated with scholars based in United States. Frequent co-authors include Tyler K. Ulland, Amin A. Fadl, Gary W. Arendash, Jennifer R. Cracchiolo, William Schleif, Jun Tan, Edwin K. Jackson, Kavon Rezai‐Zadeh, Lefteris C. Zacharia and Thomas J. Raife. Their work appears in journals such as Microbial Pathogenesis, Journal of Neuroimmunology, Archives of Microbiology, Alzheimer s & Dementia and Current Microbiology.
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.