Xiaoling Wang
Impact in
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
- Hepatology top 10%
- Liver physiology and pathology
Papers in ⓘ
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- Epigenetics and DNA Methylation 3
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- Dialysis and Renal Disease Management 4
- Chronic Kidney Disease and Diabetes 3
- Co-authors
- Nadja Grobe (11 shared papers)Peter Kotanko (10 shared papers)Ping Liu (2 shared papers)Huidong Shi (2 shared papers)Harold Snieder (1 shared paper)Bernard Gutin (1 shared paper)Yanbin Dong (1 shared paper)Gregory A. Harshfield (1 shared paper)
- Journals
- Journal of Ethnopharmacology (2 papers)Oncotarget (2 papers)JAMA Network Open (1 paper)Archives of Biochemistry and Biophysics (1 paper)BMC Nephrology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoling Wang
37 papers receiving 867 citations
Peers
Comparison fields: 5 of 102
- Pharmacology 102
- Hepatology 71
- Complementary and alternative medicine 70
- Molecular Biology 407
- Infectious Diseases 100
Countries citing papers authored by Xiaoling Wang
This map shows the geographic impact of Xiaoling Wang'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 Xiaoling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Wang more than expected).
Fields of papers citing papers by Xiaoling Wang
This network shows the impact of papers produced by Xiaoling Wang. 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 Xiaoling Wang. The network helps show where Xiaoling Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Wang, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 157 | |
| 2 | 2007 | 113 | |
| 3 | 2016 | 56 | |
| 4 | 2018 | 54 | |
| 5 | 2020 | 52 | |
| 6 | 2007 | 37 | |
| 7 | 2011 | 36 | |
| 8 | 2019 | 35 | |
| 9 | 2016 | 34 | |
| 10 | 2021 | 31 | |
| 11 | 2023 | 28 | |
| 12 | 2020 | 26 | |
| 13 | 2020 | 26 | |
| 14 | 2021 | 24 | |
| 15 | 2017 | 23 | |
| 16 | 2011 | 21 | |
| 17 | 2013 | 19 | |
| 18 | 2009 | 19 | |
| 19 | 2008 | 16 | |
| 20 | 2024 | 10 |
About Xiaoling Wang
Xiaoling Wang is a scholar working on Molecular Biology, Nephrology, Infectious Diseases, Immunology and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 883 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Dialysis and Renal Disease Management (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Epigenetics and DNA Methylation (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Pharmacological Effects of Natural Compounds (3 papers) and Berberine and alkaloids research (3 papers). The work is most often cited by research in Pharmacology (102 citations), Hepatology (71 citations), Complementary and alternative medicine (70 citations), Molecular Biology (407 citations) and Infectious Diseases (100 citations). Xiaoling Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Nadja Grobe, Peter Kotanko, Ping Liu, Huidong Shi, Harold Snieder, Bernard Gutin, Yanbin Dong, Gregory A. Harshfield, Frank A. Treiber and David H. Munn. Their work appears in journals such as Journal of Ethnopharmacology, Oncotarget, JAMA Network Open, Archives of Biochemistry and Biophysics and BMC Nephrology.
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.