Lang Hu
Impact in
- Geriatrics and Gerontology top 5%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Mitochondrial Function and Pathology 6
- Epigenetics and DNA Methylation 2
-
- Cardiovascular Function and Risk Factors 3
- Co-authors
- Bingchao Qi (12 shared papers)Yan Li (8 shared papers)Zhang Ya (1 shared paper)Honggui Wang (1 shared paper)Yongcai Zhang (1 shared paper)Dong Guo (12 shared papers)Xiaoqiang Qiu (5 shared papers)Congye Li (3 shared papers)
- Journals
- Biology Direct (2 papers)Frontiers in Genetics (2 papers)Journal of Clinical Oncology (2 papers)Biomedical Signal Processing and Control (2 papers)International Journal of Machine Learning and Cybernetics (2 papers)
- Partner nations
- ChinaUnited StatesHungary
In The Last Decade
Lang Hu
49 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 107
- Geriatrics and Gerontology 56
- Cancer Research 221
- Renewable Energy, Sustainability and the Environment 140
- Molecular Biology 512
- Cardiology and Cardiovascular Medicine 134
Countries citing papers authored by Lang Hu
This map shows the geographic impact of Lang Hu'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 Lang Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lang Hu more than expected).
Fields of papers citing papers by Lang Hu
This network shows the impact of papers produced by Lang Hu. 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 Lang Hu. The network helps show where Lang Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lang Hu, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 185 | |
| 2 | 2022 | 162 | |
| 3 | 2023 | 74 | |
| 4 | 2022 | 68 | |
| 5 | 2022 | 56 | |
| 6 | 2010 | 55 | |
| 7 | 2020 | 49 | |
| 8 | 2022 | 44 | |
| 9 | 2019 | 42 | |
| 10 | 2020 | 40 | |
| 11 | 2020 | 33 | |
| 12 | 2024 | 32 | |
| 13 | 2019 | 29 | |
| 14 | 2021 | 27 | |
| 15 | 2022 | 26 | |
| 16 | 2022 | 22 | |
| 17 | 2018 | 22 | |
| 18 | 2020 | 18 | |
| 19 | 2022 | 16 | |
| 20 | 2021 | 15 |
About Lang Hu
Lang Hu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Artificial Intelligence and Surgery, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Adipose Tissue and Metabolism (3 papers), Autophagy in Disease and Therapy (3 papers), COVID-19 diagnosis using AI (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Cardiovascular Function and Risk Factors (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Geriatrics and Gerontology (56 citations), Cancer Research (221 citations), Renewable Energy, Sustainability and the Environment (140 citations), Molecular Biology (512 citations) and Cardiology and Cardiovascular Medicine (134 citations). Lang Hu has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Bingchao Qi, Yan Li, Zhang Ya, Honggui Wang, Yongcai Zhang, Dong Guo, Xiaoqiang Qiu, Congye Li, Feng Fu and Pan Chang. Their work appears in journals such as Biology Direct, Frontiers in Genetics, Journal of Clinical Oncology, Biomedical Signal Processing and Control and International Journal of Machine Learning and Cybernetics.
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.