Lan Huang
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 2%
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
-
- Angiogenesis and VEGF in Cancer 28
- Oncology 57
- Cancer Immunotherapy and Biomarkers 15
- Co-authors
- Martin Kulldorff (4 shared papers)Mingbao Song (23 shared papers)Yaoming Song (13 shared papers)Linda W. Pickle (3 shared papers)Yi Zhang (28 shared papers)Luiz H. Duczmal (1 shared paper)Gang Zhao (5 shared papers)Huanliang Liu (16 shared papers)
- Journals
- PLoS ONE (6 papers)Scientific Reports (6 papers)Cell Death and Disease (6 papers)Cytotherapy (5 papers)Biomedicine & Pharmacotherapy (5 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Lan Huang
288 papers receiving 8.6k citations
Peers
Comparison fields: 5 of 178
- Cancer Research 1.4k
- Immunology 1.4k
- Oncology 1.6k
- Nephrology 343
- Molecular Biology 3.2k
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-authors
The 25 scholars most cited alongside Lan Huang, 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 309 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 361 | |
| 2 | 2013 | 232 | |
| 3 | 2013 | 214 | |
| 4 | 2021 | 200 | |
| 5 | 2009 | 187 | |
| 6 | 2019 | 150 | |
| 7 | 2007 | 140 | |
| 8 | 1997 | 139 | |
| 9 | 2021 | 135 | |
| 10 | 2019 | 131 | |
| 11 | 2008 | 130 | |
| 12 | 2006 | 129 | |
| 13 | 2004 | 126 | |
| 14 | 2010 | 119 | |
| 15 | 2017 | 115 | |
| 16 | 2016 | 97 | |
| 17 | 2011 | 95 | |
| 18 | 2012 | 92 | |
| 19 | 2019 | 90 | |
| 20 | 2009 | 87 |
About Lan Huang
Lan Huang is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 309 papers that have together received 8.7k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (28 papers), High Altitude and Hypoxia (25 papers), Immune Cell Function and Interaction (20 papers), Neuroscience of respiration and sleep (19 papers), Cancer-related molecular mechanisms research (17 papers), Cancer Immunotherapy and Biomarkers (15 papers), Immune cells in cancer (13 papers) and MicroRNA in disease regulation (12 papers). The work is most often cited by research in Cancer Research (1.4k citations), Immunology (1.4k citations), Oncology (1.6k citations), Nephrology (343 citations) and Molecular Biology (3.2k citations). Lan Huang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Martin Kulldorff, Mingbao Song, Yaoming Song, Linda W. Pickle, Yi Zhang, Luiz H. Duczmal, Gang Zhao, Huanliang Liu, Xiaohui Zhao and Kevin Konty. Their work appears in journals such as PLoS ONE, Scientific Reports, Cell Death and Disease, Cytotherapy and Biomedicine & Pharmacotherapy.
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.