Xiaoling Wang
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Chronic Kidney Disease and Diabetes 3
- Renal Diseases and Glomerulopathies 3
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 detection and testing 3
- Co-authors
- Nadja Grobe (12 shared papers)Peter Kotanko (11 shared papers)Ping Liu (2 shared papers)Huidong Shi (2 shared papers)David H. Munn (1 shared paper)Bernard Gutin (1 shared paper)Yanbin Dong (1 shared paper)Haidong Zhu (1 shared paper)
- Journals
- Journal of the American Society of Nephrology (2 papers)Oncotarget (2 papers)Journal of Ethnopharmacology (2 papers)European Journal of Pediatrics (1 paper)Nephrology Dialysis Transplantation (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoling Wang
42 papers receiving 2.1k citations
Xiaoling Wang's Hit Papers
Peers
Comparison fields: 5 of 114
- Aging 158
- Physiology 628
- Nephrology 166
- Pharmacology 90
- Genetics 291
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of seven loci affecting mean telomere length and their association with disease Hit paper breakdown → | 2013 | 785 |
| 2 | Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function Hit paper breakdown → | 2016 | 426 |
| 3 | 2010 | 180 | |
| 4 | 2007 | 120 | |
| 5 | 2016 | 61 | |
| 6 | 2020 | 57 | |
| 7 | 2018 | 56 | |
| 8 | 2007 | 39 | |
| 9 | 2011 | 38 | |
| 10 | 2019 | 36 | |
| 11 | 2016 | 35 | |
| 12 | 2021 | 34 | |
| 13 | 2023 | 32 | |
| 14 | 2020 | 28 | |
| 15 | 2021 | 28 | |
| 16 | 2020 | 26 | |
| 17 | 2017 | 23 | |
| 18 | 2011 | 22 | |
| 19 | 2013 | 21 | |
| 20 | 2009 | 21 |
About Xiaoling Wang
Xiaoling Wang is a scholar working on Nephrology, Infectious Diseases, Pharmacology, Pharmacology and Genetics, having authored 48 papers that have together received 2.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (3 papers), Chronic Kidney Disease and Diabetes (3 papers), SARS-CoV-2 detection and testing (3 papers), Berberine and alkaloids research (3 papers), Renal Diseases and Glomerulopathies (3 papers), Epigenetics and DNA Methylation (3 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Aging (158 citations), Physiology (628 citations), Nephrology (166 citations), Pharmacology (90 citations) and Genetics (291 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, David H. Munn, Bernard Gutin, Yanbin Dong, Haidong Zhu, Bernard L. Maria and Shaoyong Su. Their work appears in journals such as Journal of the American Society of Nephrology, Oncotarget, Journal of Ethnopharmacology, European Journal of Pediatrics and Nephrology Dialysis Transplantation.
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.