Lan Hu
Impact in
- Developmental Neuroscience top 10%
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- Mitochondrial Function and Pathology 4
- Ubiquitin and proteasome pathways 3
- Retinoids in leukemia and cellular processes 3
- RNA Interference and Gene Delivery 2
- Co-authors
- Lorraine J. Gudas (3 shared papers)David L. Crowe (2 shared papers)James G. Rheinwald (2 shared papers)Donna J. Webb (3 shared papers)Devi Majumdar (3 shared papers)Pierre Chambon (1 shared paper)Caroline A. Nebhan (2 shared papers)Adam M. Wegner (1 shared paper)
- Journals
- The EMBO Journal (2 papers)Journal of Clinical Oncology (2 papers)Neuroreport (1 paper)Cancer Letters (1 paper)Molecular Cell (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lan Hu
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Developmental Neuroscience 65
- Cancer Research 217
- Molecular Biology 950
- Cell Biology 223
- Biochemistry 71
Countries citing papers authored by Lan Hu
This map shows the geographic impact of Lan 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 Lan Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Hu more than expected).
Fields of papers citing papers by Lan Hu
This network shows the impact of papers produced by Lan 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 Lan Hu. The network helps show where Lan Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 186 | |
| 2 | Abnormal expression of retinoic acid receptors and keratin 19 by human oral and epidermal squamous cell carcinoma cell lines. | 1991 | 180 |
| 3 | 1990 | 164 | |
| 4 | 2017 | 110 | |
| 5 | 2014 | 97 | |
| 6 | 2015 | 76 | |
| 7 | 2018 | 75 | |
| 8 | 2019 | 65 | |
| 9 | 1991 | 55 | |
| 10 | 2009 | 52 | |
| 11 | 2006 | 48 | |
| 12 | 2009 | 46 | |
| 13 | 2011 | 44 | |
| 14 | 2022 | 35 | |
| 15 | 2014 | 31 | |
| 16 | 1992 | 31 | |
| 17 | 2019 | 27 | |
| 18 | 2015 | 24 | |
| 19 | 2017 | 24 | |
| 20 | 2021 | 18 |
About Lan Hu
Lan Hu is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Epidemiology and Physiology, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Ubiquitin and proteasome pathways (3 papers), Retinoids in leukemia and cellular processes (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Galectins and Cancer Biology (2 papers), Neuroscience and Neuropharmacology Research (2 papers), RNA Interference and Gene Delivery (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Developmental Neuroscience (65 citations), Cancer Research (217 citations), Molecular Biology (950 citations), Cell Biology (223 citations) and Biochemistry (71 citations). Lan Hu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lorraine J. Gudas, David L. Crowe, James G. Rheinwald, Donna J. Webb, Devi Majumdar, Pierre Chambon, Caroline A. Nebhan, Adam M. Wegner, Alissa M. Weaver and Yi Dai. Their work appears in journals such as The EMBO Journal, Journal of Clinical Oncology, Neuroreport, Cancer Letters and Molecular Cell.
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.