Daniel Clark
Impact in
- Animal Science and Zoology top 0.5%
- Animal Nutrition and Physiology
- Meat and Animal Product Quality
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in
-
- Animal Nutrition and Physiology 18
- Meat and Animal Product Quality 16
- Immunology 22
- T-cell and Retrovirus Studies 21
- Co-authors
- Sandra G. Velleman (16 shared papers)Eftychia Kotronia (1 shared paper)Sheena E Ramsay (1 shared paper)Harok Bae (13 shared papers)Kristien Verdonck (16 shared papers)Eduardo Gotuzzo (11 shared papers)Elsa González (14 shared papers)A. C. Dilger (7 shared papers)
- Journals
- Poultry Science (10 papers)Journal of Animal Science (5 papers)Retrovirology (5 papers)Avian Diseases (4 papers)AIAA Journal (4 papers)
- Partner nations
- United StatesPeruBelgium
In The Last Decade
Daniel Clark
93 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 132
- Animal Science and Zoology 692
- Agronomy and Crop Science 204
- Periodontics 71
- Small Animals 115
- Immunology 304
Countries citing papers authored by Daniel Clark
This map shows the geographic impact of Daniel Clark'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 Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Clark more than expected).
Fields of papers citing papers by Daniel Clark
This network shows the impact of papers produced by Daniel Clark. 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 Clark. The network helps show where Daniel Clark may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Clark, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 169 | |
| 2 | 2016 | 107 | |
| 3 | 2021 | 103 | |
| 4 | 2013 | 59 | |
| 5 | 1984 | 47 | |
| 6 | 2017 | 47 | |
| 7 | 2013 | 45 | |
| 8 | 2016 | 44 | |
| 9 | 2018 | 44 | |
| 10 | 2020 | 43 | |
| 11 | 2019 | 36 | |
| 12 | 1994 | 35 | |
| 13 | 2011 | 35 | |
| 14 | 1979 | 35 | |
| 15 | 2015 | 33 | |
| 16 | 2009 | 32 | |
| 17 | 2009 | 32 | |
| 18 | 2017 | 31 | |
| 19 | 2016 | 31 | |
| 20 | 1996 | 28 |
About Daniel Clark
Daniel Clark is a scholar working on Animal Science and Zoology, Immunology, Molecular Biology, Statistics, Probability and Uncertainty and Agronomy and Crop Science, having authored 98 papers that have together received 1.7k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (21 papers), Probabilistic and Robust Engineering Design (18 papers), Animal Nutrition and Physiology (18 papers), Meat and Animal Product Quality (16 papers), Animal Disease Management and Epidemiology (14 papers), Advanced Multi-Objective Optimization Algorithms (14 papers), Muscle Physiology and Disorders (13 papers) and Vector-Borne Animal Diseases (12 papers). The work is most often cited by research in Animal Science and Zoology (692 citations), Agronomy and Crop Science (204 citations), Periodontics (71 citations), Small Animals (115 citations) and Immunology (304 citations). Daniel Clark has collaborated with scholars based in United States, Peru and Belgium. Frequent co-authors include Sandra G. Velleman, Eftychia Kotronia, Sheena E Ramsay, Harok Bae, Kristien Verdonck, Eduardo Gotuzzo, Elsa González, A. C. Dilger, D. D. Boler and J. Killefer. Their work appears in journals such as Poultry Science, Journal of Animal Science, Retrovirology, Avian Diseases and AIAA Journal.
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.