Ting Ling
Impact in
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- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
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- interferon and immune responses
- Aquaculture disease management and microbiota
Papers in
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- interferon and immune responses 7
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- Cancer, Hypoxia, and Metabolism 4
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Hai‐long Piao (12 shared papers)Huan Qi (8 shared papers)Tian Xia (7 shared papers)Wuxiyar Otkur (7 shared papers)Xiaolong Liu (7 shared papers)Di Chen (6 shared papers)Huan Chen (5 shared papers)Liang‐Guo Xu (7 shared papers)
- Journals
- Molecular Immunology (4 papers)Frontiers in Microbiology (3 papers)Humanities and Social Sciences Communications (1 paper)The FASEB Journal (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaHungaryUnited States
In The Last Decade
Ting Ling
30 papers receiving 407 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 68
- Immunology 63
- Renewable Energy, Sustainability and the Environment 47
- Biochemistry 14
- Molecular Biology 130
Countries citing papers authored by Ting Ling
This map shows the geographic impact of Ting Ling'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 Ting Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Ling more than expected).
Fields of papers citing papers by Ting Ling
This network shows the impact of papers produced by Ting Ling. 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 Ting Ling. The network helps show where Ting Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Ling, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 72 | |
| 2 | 2021 | 43 | |
| 3 | 2020 | 39 | |
| 4 | 2020 | 28 | |
| 5 | 2018 | 21 | |
| 6 | 2019 | 21 | |
| 7 | 2020 | 21 | |
| 8 | 2022 | 20 | |
| 9 | 2022 | 18 | |
| 10 | 2019 | 17 | |
| 11 | 2019 | 17 | |
| 12 | 2021 | 15 | |
| 13 | 2015 | 14 | |
| 14 | 2024 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2023 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2021 | 4 |
About Ting Ling
Ting Ling is a scholar working on Immunology, Cancer Research, Ecology, Biochemistry and Renewable Energy, Sustainability and the Environment, having authored 30 papers that have together received 409 indexed citations. Recurring topics across this work include interferon and immune responses (7 papers), Cancer, Hypoxia, and Metabolism (4 papers), Algal biology and biofuel production (3 papers), Microbial Community Ecology and Physiology (3 papers), Ubiquitin and proteasome pathways (3 papers), Cancer, Lipids, and Metabolism (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Evolutionary Game Theory and Cooperation (2 papers). The work is most often cited by research in Cancer Research (68 citations), Immunology (63 citations), Renewable Energy, Sustainability and the Environment (47 citations), Biochemistry (14 citations) and Molecular Biology (130 citations). Ting Ling has collaborated with scholars based in China, Hungary and United States. Frequent co-authors include Hai‐long Piao, Huan Qi, Tian Xia, Wuxiyar Otkur, Xiaolong Liu, Di Chen, Huan Chen, Liang‐Guo Xu, Xiaojun Yan and Jiayi Cao. Their work appears in journals such as Molecular Immunology, Frontiers in Microbiology, Humanities and Social Sciences Communications, The FASEB Journal and Cell Death and Disease.
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.