Ling Gan
Impact in
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- Meat and Animal Product Quality
- Animal Nutrition and Physiology
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- Proteins in Food Systems
Papers in
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- Circular RNAs in diseases 2
- RNA regulation and disease 2
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- Meat and Animal Product Quality 5
- Animal Nutrition and Physiology 3
- Co-authors
- Peilong Sun (2 shared papers)Ping Shao (2 shared papers)Simin Feng (2 shared papers)Xisheng Hu (2 shared papers)Chung S. Yang (1 shared paper)Anna B. Liu (1 shared paper)Zhuqing Dai (1 shared paper)Wenyun Lu (1 shared paper)
- Journals
- Foods (3 papers)Scientific Reports (2 papers)BMC Neuroscience (2 papers)Veterinary Research (2 papers)Frontiers in Microbiology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ling Gan
23 papers receiving 288 citations
Peers
Comparison fields: 5 of 95
- Animal Science and Zoology 31
- Food Science 48
- Molecular Medicine 12
- Pharmacology 18
- Neurology 16
Countries citing papers authored by Ling Gan
This map shows the geographic impact of Ling Gan'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 Ling Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Gan more than expected).
Fields of papers citing papers by Ling Gan
This network shows the impact of papers produced by Ling Gan. 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 Ling Gan. The network helps show where Ling Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Gan, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 89 | |
| 2 | 2020 | 40 | |
| 3 | 2020 | 29 | |
| 4 | 2016 | 24 | |
| 5 | 2015 | 13 | |
| 6 | 2015 | 13 | |
| 7 | 2016 | 12 | |
| 8 | 2016 | 12 | |
| 9 | 2011 | 11 | |
| 10 | 2020 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2009 | 8 | |
| 13 | 2024 | 6 | |
| 14 | 2017 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2024 | 1 |
About Ling Gan
Ling Gan is a scholar working on Molecular Biology, Animal Science and Zoology, Epidemiology, Food Science and Cancer Research, having authored 31 papers that have together received 294 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (5 papers), Herpesvirus Infections and Treatments (4 papers), Animal Nutrition and Physiology (3 papers), Cancer-related molecular mechanisms research (3 papers), Mosquito-borne diseases and control (3 papers), Circular RNAs in diseases (2 papers), RNA regulation and disease (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Animal Science and Zoology (31 citations), Food Science (48 citations), Molecular Medicine (12 citations), Pharmacology (18 citations) and Neurology (16 citations). Ling Gan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Peilong Sun, Ping Shao, Simin Feng, Xisheng Hu, Chung S. Yang, Anna B. Liu, Zhuqing Dai, Wenyun Lu, Zisheng Luo and Dan Wang. Their work appears in journals such as Foods, Scientific Reports, BMC Neuroscience, Veterinary Research and Frontiers in Microbiology.
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.