Lan Huang
- Molecular Biology
- Genetics top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology top 10%
- Infectious Diseases top 10%
- Topics
- High Altitude and Hypoxia (32 papers)Neuroscience of respiration and sleep (19 papers)Heart Rate Variability and Autonomic Control (10 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lan Huang
126 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 685
- Genetics 330
- Cardiology and Cardiovascular Medicine 280
- Physiology 221
- Infectious Diseases 188
Countries citing papers authored by Lan Huang
This map shows the geographic impact of Lan Huang'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 Lan Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Huang more than expected).
Fields of papers citing papers by Lan Huang
This network shows the impact of papers produced by Lan Huang. 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 Lan Huang. The network helps show where Lan Huang may publish in the future.
Co-authorship network of co-authors of Lan Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Lan Huang. A scholar is included among the top collaborators of Lan Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lan Huang. Lan Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | Aberrant m5C hypermethylation mediates intrinsic resistance to gefitinib through NSUN2/YBX1/QSOX1 axis in EGFR-mutant non-small-cell lung cancerbreakdown → | 121 |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 13 | |
| 16 | 4 | |
| 17 | 17 | |
| 18 | 2 | |
| 19 | Study on the absorption and transport of different glutamine dipeptides in small intestine of weaned piglets. | 6 |
| 20 | Study of Establishing Myocardial Infarction Model of Mice | 1 |
About Lan Huang
Lan Huang is a scholar working on Endocrine and Autonomic Systems, Genetics and Complementary and Manual Therapy, having authored 131 papers that have together received 2.0k indexed citations. Recurring topics across this work include High Altitude and Hypoxia (32 papers), Neuroscience of respiration and sleep (19 papers) and Heart Rate Variability and Autonomic Control (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (139 citations), Orthodontics (78 citations) and Complementary and Manual Therapy (31 citations). Lan Huang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chuan Qin, Jihang Zhang, Dezhi Mu, Yi Qu, Ding Bai, Hua Zhu, Xubin Gao, Wei Deng, Mingbao Song and Jun Qin. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.