Lingling Zhang
- Endocrinology top 5%
- Immunology top 10%
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 5
- Immune cells in cancer 4
- Cancer Research top 10%
- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 9
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine 6
- Biomaterials top 10%
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- RNA modifications and cancer 10
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- Autophagy in Disease and Therapy 7
- Co-authors
- Yingjie ZhangKim OrthChristopher A. BrobergHonglin JinJonathan F. LovellChao WanGang WuKunyu Yang
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lingling Zhang
68 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Endocrinology 101
- Immunology 348
- Cancer Research 238
- Geriatrics and Gerontology 56
- Biomaterials 135
Countries citing papers authored by Lingling Zhang
This map shows the geographic impact of Lingling Zhang'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 Lingling Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingling Zhang more than expected).
Fields of papers citing papers by Lingling Zhang
This network shows the impact of papers produced by Lingling Zhang. 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 Lingling Zhang. The network helps show where Lingling Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lingling Zhang, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 8 | |
| 10 | 2021 | 12 | |
| 11 | 2019 | 28 | |
| 12 | 2019 | 49 | |
| 13 | 2018 | 178 | |
| 14 | 2018 | 4 | |
| 15 | 2018 | 11 | |
| 16 | 2014 | 62 | |
| 17 | 2014 | 43 | |
| 18 | 2014 | 12 | |
| 19 | 2010 | 93 | |
| 20 | [Effects of paeoniflorin on the level of antibodies and cAMP produced by splenocytes in rats with adjuvant arthritis]. | 2007 | 4 |
About Lingling Zhang
Lingling Zhang is a scholar working on Geriatrics and Gerontology, Cancer Research and Immunology, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (9 papers), Immune Cell Function and Interaction (7 papers), Autophagy in Disease and Therapy (7 papers), Sirtuins and Resveratrol in Medicine (6 papers), Immunotherapy and Immune Responses (5 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Endocrinology (101 citations), Immunology (348 citations) and Cancer Research (238 citations). Lingling Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yingjie Zhang, Kim Orth, Christopher A. Broberg, Honglin Jin, Jonathan F. Lovell, Chao Wan, Gang Wu, Kunyu Yang, Yuanyuan Geng and Guifang Zhao. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.