Lida Yang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Cancer Cells and Metastasis
Papers in
-
- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 2
- Genetics 2
- Neurogenetic and Muscular Disorders Research 2
- Co-authors
- Stefan Offermanns (3 shared papers)Boris Strilić (2 shared papers)Manolis Pasparakis (1 shared paper)Ulrike C. Müller (1 shared paper)Laurens Wachsmuth (1 shared paper)Julián Albarrán-Juárez (1 shared paper)Huitong Shan (2 shared papers)Xiaoguang Zhao (2 shared papers)
- Journals
- Supportive Care in Cancer (1 paper)Journal of Biological Chemistry (1 paper)Dalton Transactions (1 paper)International Journal of Biological Sciences (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ChinaSwitzerlandGermany
In The Last Decade
Lida Yang
15 papers receiving 921 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 320
- Oncology 123
- Molecular Biology 335
- Genetics 31
- Pulmonary and Respiratory Medicine 108
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 | 2016 | 428 | |
| 2 | 2018 | 273 | |
| 3 | 2018 | 48 | |
| 4 | 2018 | 45 | |
| 5 | 2019 | 42 | |
| 6 | 2016 | 29 | |
| 7 | 2022 | 17 | |
| 8 | 2018 | 16 | |
| 9 | 2008 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2023 | 7 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2008 | 1 | |
| 15 | 2025 | 1 |
About Lida Yang
Lida Yang is a scholar working on Cancer Research, Genetics, Hepatology, Communication and Molecular Biology, having authored 15 papers that have together received 935 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Axon Guidance and Neuronal Signaling (1 paper), Global Cancer Incidence and Screening (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Cancer Research (320 citations), Oncology (123 citations), Molecular Biology (335 citations), Genetics (31 citations) and Pulmonary and Respiratory Medicine (108 citations). Lida Yang has collaborated with scholars based in China, Switzerland and Germany. Frequent co-authors include Stefan Offermanns, Boris Strilić, Manolis Pasparakis, Ulrike C. Müller, Laurens Wachsmuth, Julián Albarrán-Juárez, Huitong Shan, Xiaoguang Zhao, Haihai Liang and Hongli Shan. Their work appears in journals such as Supportive Care in Cancer, Journal of Biological Chemistry, Dalton Transactions, International Journal of Biological Sciences and The FASEB Journal.
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.