Yin‐Yi Ding
Impact in
- Animal Science and Zoology top 10%
- Meat and Animal Product Quality
- Nutrition and Dietetics top 10%
- Biochemical Analysis and Sensing Techniques
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 3
- Identification and Quantification in Food 3
- Gut microbiota and health 2
-
- Biochemical Analysis and Sensing Techniques 4
- Co-authors
- Yonghui Shi (8 shared papers)Guowei Le (6 shared papers)Yi Qiao (1 shared paper)Jin Sun (1 shared paper)Xiang‐Rong Cheng (4 shared papers)Zhenyu Gu (8 shared papers)Yuhui Yang (3 shared papers)Biao Yan (2 shared papers)
- Journals
- RSC Advances (5 papers)Journal of Agricultural and Food Chemistry (3 papers)Food & Function (2 papers)Journal of Functional Foods (2 papers)Food Research International (1 paper)
- Partner nations
- ChinaNetherlandsRussia
In The Last Decade
Yin‐Yi Ding
24 papers receiving 443 citations
Peers
Comparison fields: 5 of 81
- Animal Science and Zoology 67
- Nutrition and Dietetics 84
- Biological Psychiatry 12
- Food Science 83
- Physiology 107
Countries citing papers authored by Yin‐Yi Ding
This map shows the geographic impact of Yin‐Yi Ding'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 Yin‐Yi Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin‐Yi Ding more than expected).
Fields of papers citing papers by Yin‐Yi Ding
This network shows the impact of papers produced by Yin‐Yi Ding. 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 Yin‐Yi Ding. The network helps show where Yin‐Yi Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Yin‐Yi Ding, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 177 | |
| 2 | 2016 | 29 | |
| 3 | 2017 | 23 | |
| 4 | 2017 | 22 | |
| 5 | 2022 | 22 | |
| 6 | 2022 | 19 | |
| 7 | 2017 | 19 | |
| 8 | 2023 | 19 | |
| 9 | 2022 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2017 | 13 | |
| 12 | 2020 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2024 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 5 |
About Yin‐Yi Ding
Yin‐Yi Ding is a scholar working on Molecular Biology, Nutrition and Dietetics, Physiology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 451 indexed citations. Recurring topics across this work include Biochemical effects in animals (4 papers), Biochemical Analysis and Sensing Techniques (4 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Meat and Animal Product Quality (3 papers), Identification and Quantification in Food (3 papers), Proteins in Food Systems (3 papers), Natural Products and Biological Research (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Animal Science and Zoology (67 citations), Nutrition and Dietetics (84 citations), Biological Psychiatry (12 citations), Food Science (83 citations) and Physiology (107 citations). Yin‐Yi Ding has collaborated with scholars based in China, Netherlands and Russia. Frequent co-authors include Yonghui Shi, Guowei Le, Yi Qiao, Jin Sun, Xiang‐Rong Cheng, Zhenyu Gu, Yuhui Yang, Biao Yan, Qing Shen and Yuexi Yang. Their work appears in journals such as RSC Advances, Journal of Agricultural and Food Chemistry, Food & Function, Journal of Functional Foods and Food Research International.
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.