Lin Su
Impact in
- Animal Science and Zoology top 1%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Hepatology top 10%
- Liver physiology and pathology
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 11
- Muscle Physiology and Disorders 7
-
- Meat and Animal Product Quality 34
- Animal Nutrition and Physiology 12
- Co-authors
- Lihua Zhao (40 shared papers)Ye Jin (32 shared papers)Lu Dou (20 shared papers)Rina Su (17 shared papers)Lina Sun (22 shared papers)Zhixia Dong (3 shared papers)Yulong Luo (10 shared papers)Zhihao Yang (14 shared papers)
- Journals
- Food Science & Nutrition (10 papers)Meat Science (6 papers)Food Chemistry (6 papers)Foods (6 papers)Small Ruminant Research (3 papers)
- Partner nations
- ChinaItalyUnited States
In The Last Decade
Lin Su
99 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Animal Science and Zoology 414
- Hepatology 101
- Food Science 184
- Biochemistry 55
- Agronomy and Crop Science 79
Countries citing papers authored by Lin Su
This map shows the geographic impact of Lin Su'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 Lin Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Su more than expected).
Fields of papers citing papers by Lin Su
This network shows the impact of papers produced by Lin Su. 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 Lin Su. The network helps show where Lin Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Su, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 108 | |
| 2 | 2020 | 68 | |
| 3 | 2019 | 66 | |
| 4 | 2023 | 63 | |
| 5 | 2015 | 51 | |
| 6 | 2022 | 36 | |
| 7 | 2019 | 34 | |
| 8 | 2022 | 29 | |
| 9 | 2022 | 29 | |
| 10 | 2022 | 29 | |
| 11 | 2023 | 28 | |
| 12 | 2022 | 28 | |
| 13 | 2019 | 26 | |
| 14 | 1994 | 26 | |
| 15 | 2023 | 26 | |
| 16 | 2022 | 24 | |
| 17 | 2018 | 24 | |
| 18 | 2020 | 22 | |
| 19 | 2022 | 22 | |
| 20 | 2023 | 21 |
About Lin Su
Lin Su is a scholar working on Molecular Biology, Animal Science and Zoology, Physiology, Food Science and Cell Biology, having authored 111 papers that have together received 1.3k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (34 papers), Animal Nutrition and Physiology (12 papers), Protein Hydrolysis and Bioactive Peptides (11 papers), Muscle metabolism and nutrition (11 papers), Adipose Tissue and Metabolism (10 papers), Food Quality and Safety Studies (9 papers), Biochemical effects in animals (8 papers) and Muscle Physiology and Disorders (7 papers). The work is most often cited by research in Animal Science and Zoology (414 citations), Hepatology (101 citations), Food Science (184 citations), Biochemistry (55 citations) and Agronomy and Crop Science (79 citations). Lin Su has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Lihua Zhao, Ye Jin, Lu Dou, Rina Su, Lina Sun, Zhixia Dong, Yulong Luo, Zhihao Yang, Guanhua Hu and Yanru Hou. Their work appears in journals such as Food Science & Nutrition, Meat Science, Food Chemistry, Foods and Small Ruminant Research.
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.