David Dang
Impact in
- Animal Science and Zoology top 5%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
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- Probiotics and Fermented Foods
Papers in
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- Meat and Animal Product Quality 10
- Animal Nutrition and Physiology 3
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- Calpain Protease Function and Regulation 4
- Muscle metabolism and nutrition 2
- Co-authors
- Sulaiman K. Matarneh (14 shared papers)Kara J Thornton (9 shared papers)Sarmad Ghazi Al‐Shawi (1 shared paper)Luis J. Bastarrachea (1 shared paper)Silvana Martini (1 shared paper)Tracy L. Scheffler (1 shared paper)Xin Dai (2 shared papers)Eric M. England (2 shared papers)
- Journals
- Meat Science (6 papers)Journal of Animal Science (2 papers)Foods (2 papers)Scientific Reports (1 paper)LWT (1 paper)
- Partner nations
- United StatesIraqBrazil
In The Last Decade
David Dang
15 papers receiving 288 citations
Peers
Comparison fields: 5 of 64
- Animal Science and Zoology 163
- Food Science 68
- Cell Biology 54
- Agronomy and Crop Science 19
- Aquatic Science 12
Countries citing papers authored by David Dang
This map shows the geographic impact of David Dang'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 David Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Dang more than expected).
Fields of papers citing papers by David Dang
This network shows the impact of papers produced by David Dang. 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 David Dang. The network helps show where David Dang may publish in the future.
Co-authors
The 23 scholars most cited alongside David Dang, 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 | 2020 | 75 | |
| 2 | 2021 | 48 | |
| 3 | 2019 | 47 | |
| 4 | 2005 | 27 | |
| 5 | 2021 | 22 | |
| 6 | 2021 | 19 | |
| 7 | 2020 | 17 | |
| 8 | 2022 | 8 | |
| 9 | 2023 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2022 | 1 | |
| 16 | 2007 | 0 |
About David Dang
David Dang is a scholar working on Animal Science and Zoology, Cell Biology, Molecular Biology, Physiology and Surgery, having authored 16 papers that have together received 292 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (10 papers), Calpain Protease Function and Regulation (4 papers), Animal Nutrition and Physiology (3 papers), Biochemical effects in animals (3 papers), Muscle metabolism and nutrition (2 papers), Muscle Physiology and Disorders (2 papers), Pancreatic function and diabetes (1 paper) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Animal Science and Zoology (163 citations), Food Science (68 citations), Cell Biology (54 citations), Agronomy and Crop Science (19 citations) and Aquatic Science (12 citations). David Dang has collaborated with scholars based in United States, Iraq and Brazil. Frequent co-authors include Sulaiman K. Matarneh, Kara J Thornton, Sarmad Ghazi Al‐Shawi, Luis J. Bastarrachea, Silvana Martini, Tracy L. Scheffler, Xin Dai, Eric M. England, Jerrad F. Legako and Fabio J. Pacheco. Their work appears in journals such as Meat Science, Journal of Animal Science, Foods, Scientific Reports and LWT.
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.