Lan Ji Huang
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Immunology top 2%
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
-
- Cancer-related molecular mechanisms research 13
- MicroRNA in disease regulation 11
- Cancer, Hypoxia, and Metabolism 9
- Oncology 46
- Cancer Immunotherapy and Biomarkers 9
- Co-authors
- Martin Kulldorff (4 shared papers)Mingbao Song (21 shared papers)Linda W. Pickle (3 shared papers)Yaoming Song (12 shared papers)Luiz Henrique Duczmal (1 shared paper)Yi Zhang (27 shared papers)Gang Zhao (5 shared papers)Huanliang Liu (16 shared papers)
- Journals
- Cell Death and Disease (6 papers)Clinical Infectious Diseases (5 papers)Biomedicine & Pharmacotherapy (5 papers)Cytotherapy (5 papers)PLoS ONE (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lan Ji Huang
291 papers receiving 10.0k citations
Peers
Comparison fields: 5 of 182
- Cancer Research 1.3k
- Immunology 1.5k
- Oncology 1.7k
- Nephrology 346
- Molecular Biology 3.1k
Countries citing papers authored by Lan Ji Huang
This map shows the geographic impact of Lan Ji 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 Ji 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 Ji Huang more than expected).
Fields of papers citing papers by Lan Ji Huang
This network shows the impact of papers produced by Lan Ji 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 Ji Huang. The network helps show where Lan Ji Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Ji 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 298 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 393 | |
| 2 | 2017 | 268 | |
| 3 | 2013 | 242 | |
| 4 | 2018 | 238 | |
| 5 | 2021 | 237 | |
| 6 | 2013 | 228 | |
| 7 | 2009 | 199 | |
| 8 | 2019 | 174 | |
| 9 | 1997 | 170 | |
| 10 | 2007 | 155 | |
| 11 | 2021 | 147 | |
| 12 | 2008 | 143 | |
| 13 | 2006 | 142 | |
| 14 | 2017 | 142 | |
| 15 | 2019 | 142 | |
| 16 | 2017 | 132 | |
| 17 | 2004 | 130 | |
| 18 | 2010 | 119 | |
| 19 | 2013 | 110 | |
| 20 | 2016 | 102 |
About Lan Ji Huang
Lan Ji Huang is a scholar working on Cancer Research, Oncology, Immunology, Molecular Biology and Genetics, having authored 298 papers that have together received 10.2k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (22 papers), High Altitude and Hypoxia (17 papers), Immune Cell Function and Interaction (15 papers), Cancer-related molecular mechanisms research (13 papers), Immune cells in cancer (12 papers), MicroRNA in disease regulation (11 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Cancer, Hypoxia, and Metabolism (9 papers). The work is most often cited by research in Cancer Research (1.3k citations), Immunology (1.5k citations), Oncology (1.7k citations), Nephrology (346 citations) and Molecular Biology (3.1k citations). Lan Ji Huang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Martin Kulldorff, Mingbao Song, Linda W. Pickle, Yaoming Song, Luiz Henrique Duczmal, Yi Zhang, Gang Zhao, Huanliang Liu, Xiaohui Zhao and Kevin Konty. Their work appears in journals such as Cell Death and Disease, Clinical Infectious Diseases, Biomedicine & Pharmacotherapy, Cytotherapy and PLoS ONE.
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.