Lida Yang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- Cell death mechanisms and regulation
- RNA Research and Splicing
Papers in
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- Circular RNAs in diseases 4
- Histone Deacetylase Inhibitors Research 2
- Cell death mechanisms and regulation 2
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 2
- Co-authors
- Stefan Offermanns (3 shared papers)Boris Strilić (2 shared papers)Manolis Pasparakis (1 shared paper)Laurens Wachsmuth (1 shared paper)Julián Albarrán-Juárez (1 shared paper)Ulrike Müller (1 shared paper)Kang Han (1 shared paper)Hongli Shan (3 shared papers)
- Journals
- BMC Neurology (2 papers)Molecular Cancer (2 papers)The Journal of Cell Biology (1 paper)Scientific Reports (1 paper)Dalton Transactions (1 paper)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Lida Yang
17 papers receiving 875 citations
Lida Yang's Hit Papers
Peers
Comparison fields: 5 of 96
- Cancer Research 454
- Molecular Biology 654
- Immunology 133
- Oncology 169
- Pulmonary and Respiratory Medicine 134
Countries citing papers authored by Lida Yang
This map shows the geographic impact of Lida Yang'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 Lida Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lida Yang more than expected).
Fields of papers citing papers by Lida Yang
This network shows the impact of papers produced by Lida Yang. 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 Lida Yang. The network helps show where Lida Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lida Yang, 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 | Tumour-cell-induced endothelial cell necroptosis via death receptor 6 promotes metastasis Hit paper breakdown → | 2016 | 397 |
| 2 | 2018 | 270 | |
| 3 | 2018 | 47 | |
| 4 | 2018 | 42 | |
| 5 | 2019 | 38 | |
| 6 | 2016 | 23 | |
| 7 | 2018 | 16 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 11 | |
| 10 | 2008 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2021 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2018 | 2 | |
| 15 | 2021 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2008 | 1 | |
| 18 | 2025 | 0 |
About Lida Yang
Lida Yang is a scholar working on Molecular Biology, Cancer Research, Genetics, Surgery and Cell Biology, having authored 18 papers that have together received 884 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), MicroRNA in disease regulation (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Congenital Anomalies and Fetal Surgery (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cancer Research (454 citations), Molecular Biology (654 citations), Immunology (133 citations), Oncology (169 citations) and Pulmonary and Respiratory Medicine (134 citations). Lida Yang has collaborated with scholars based in China, France and United States. Frequent co-authors include Stefan Offermanns, Boris Strilić, Manolis Pasparakis, Laurens Wachsmuth, Julián Albarrán-Juárez, Ulrike Müller, Kang Han, Hongli Shan, Huitong Shan and Haihai Liang. Their work appears in journals such as BMC Neurology, Molecular Cancer, The Journal of Cell Biology, Scientific Reports and Dalton Transactions.
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.