Danyi Ma
Impact in
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Insect Science top 10%
- Bee Products Chemical Analysis
- Insect Utilization and Effects
Papers in
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- Meat and Animal Product Quality 8
- Animal Nutrition and Physiology 2
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- Bee Products Chemical Analysis 4
- Insect Utilization and Effects 3
- Co-authors
- Yuan H. Brad Kim (8 shared papers)Derico Setyabrata (2 shared papers)Melvin C. Hunt (1 shared paper)Mustafa M. Farouk (1 shared paper)E. Huff‐Lonergan (1 shared paper)Steven M. Lonergan (1 shared paper)Jiaying Zhang (2 shared papers)Bruce R. Cooper (3 shared papers)
- Journals
- Meat Science (3 papers)International Journal of Food Science & Technology (1 paper)Scientific Reports (1 paper)Food Chemistry X (1 paper)Food Chemistry (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Danyi Ma
11 papers receiving 429 citations
Peers
Comparison fields: 5 of 55
- Animal Science and Zoology 361
- Insect Science 84
- Cell Biology 80
- Food Science 69
- Physiology 60
Countries citing papers authored by Danyi Ma
This map shows the geographic impact of Danyi Ma'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 Danyi Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danyi Ma more than expected).
Fields of papers citing papers by Danyi Ma
This network shows the impact of papers produced by Danyi Ma. 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 Danyi Ma. The network helps show where Danyi Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Danyi Ma, 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 | 2018 | 146 | |
| 2 | 2017 | 85 | |
| 3 | 2020 | 64 | |
| 4 | 2020 | 48 | |
| 5 | 2023 | 25 | |
| 6 | 2020 | 24 | |
| 7 | 2022 | 13 | |
| 8 | 2016 | 12 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 4 | |
| 11 | 2024 | 3 |
About Danyi Ma
Danyi Ma is a scholar working on Animal Science and Zoology, Insect Science, Cell Biology, Molecular Biology and Infectious Diseases, having authored 11 papers that have together received 430 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (8 papers), Bee Products Chemical Analysis (4 papers), Insect Utilization and Effects (3 papers), Animal Nutrition and Physiology (2 papers), Calpain Protease Function and Regulation (2 papers), Muscle metabolism and nutrition (2 papers), Horticultural and Viticultural Research (1 paper) and Visual perception and processing mechanisms (1 paper). The work is most often cited by research in Animal Science and Zoology (361 citations), Insect Science (84 citations), Cell Biology (80 citations), Food Science (69 citations) and Physiology (60 citations). Danyi Ma has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Yuan H. Brad Kim, Derico Setyabrata, Melvin C. Hunt, Mustafa M. Farouk, E. Huff‐Lonergan, Steven M. Lonergan, Jiaying Zhang, Bruce R. Cooper, Hyonho Chun and Juhui Choe. Their work appears in journals such as Meat Science, International Journal of Food Science & Technology, Scientific Reports, Food Chemistry X and Food Chemistry.
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.