Xiaolan Hu
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Biological Psychiatry top 10%
Papers in
-
- Medicinal Plants and Bioactive Compounds 6
- Mechanisms of cancer metastasis 3
- Genomics and Chromatin Dynamics 3
- Genetics 11
- Genetic Associations and Epidemiology 4
- Diabetes and associated disorders 2
- Co-authors
- Xiaoxia Peng (5 shared papers)Xianqi Zhang (2 shared papers)Daihua Yu (2 shared papers)Zhenyu Tang (3 shared papers)Carol O’Brien (3 shared papers)Mark R. Lackner (3 shared papers)Guy Cavet (3 shared papers)Lukas C. Amler (3 shared papers)
- Journals
- International Journal of Surgery (2 papers)Lara D. Veeken (1 paper)Talanta (1 paper)Plant Breeding (1 paper)Geriatrics and gerontology international (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Xiaolan Hu
68 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 145
- Nephrology 168
- Biological Psychiatry 51
- Genetics 432
- Pharmacology 131
- Internal Medicine 45
Countries citing papers authored by Xiaolan Hu
This map shows the geographic impact of Xiaolan 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 Xiaolan Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Hu more than expected).
Fields of papers citing papers by Xiaolan Hu
This network shows the impact of papers produced by Xiaolan 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 Xiaolan Hu. The network helps show where Xiaolan Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolan 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 210 | |
| 2 | 2005 | 199 | |
| 3 | 2009 | 185 | |
| 4 | 2016 | 184 | |
| 5 | 2012 | 174 | |
| 6 | 2011 | 129 | |
| 7 | 2009 | 106 | |
| 8 | 2010 | 100 | |
| 9 | 2008 | 92 | |
| 10 | 2010 | 91 | |
| 11 | 2006 | 88 | |
| 12 | 2014 | 81 | |
| 13 | 2010 | 79 | |
| 14 | 2004 | 77 | |
| 15 | 2014 | 70 | |
| 16 | 2006 | 69 | |
| 17 | 2009 | 66 | |
| 18 | 2015 | 59 | |
| 19 | 2017 | 54 | |
| 20 | 2006 | 40 |
About Xiaolan Hu
Xiaolan Hu is a scholar working on Molecular Biology, Genetics, Oncology, Pulmonary and Respiratory Medicine and Immunology, having authored 70 papers that have together received 2.7k indexed citations. Recurring topics across this work include Medicinal Plants and Bioactive Compounds (6 papers), Flavonoids in Medical Research (4 papers), Genetic Associations and Epidemiology (4 papers), Mechanisms of cancer metastasis (3 papers), Genomics and Chromatin Dynamics (3 papers), Biomarkers in Disease Mechanisms (3 papers), Diabetes and associated disorders (2 papers) and Attention Deficit Hyperactivity Disorder (2 papers). The work is most often cited by research in Nephrology (168 citations), Biological Psychiatry (51 citations), Genetics (432 citations), Pharmacology (131 citations) and Internal Medicine (45 citations). Xiaolan Hu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xiaoxia Peng, Xianqi Zhang, Daihua Yu, Zhenyu Tang, Carol O’Brien, Mark R. Lackner, Guy Cavet, Lukas C. Amler, Kun Li and Xiaowei Zhang. Their work appears in journals such as International Journal of Surgery, Lara D. Veeken, Talanta, Plant Breeding and Geriatrics and gerontology international.
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.