Xiaoxin X. Wang
Impact in
- Nephrology top 1%
- Chronic Kidney Disease and Diabetes
- Parathyroid Disorders and Treatments
-
- Diabetes Treatment and Management
Papers in
- Oncology 11
- Drug Transport and Resistance Mechanisms 10
- Co-authors
- Moshe Levi (13 shared papers)Tao Jiang (8 shared papers)Luciano Adorini (7 shared papers)Moshe Levi (22 shared papers)Mark Pruzanski (6 shared papers)Yuhuan Luo (6 shared papers)Pnina Scherzer (3 shared papers)Jeffrey B. Kopp (7 shared papers)
- Journals
- American Journal of Physiology-Renal Physiology (9 papers)Journal of Biological Chemistry (5 papers)Journal of Cell Science (2 papers)Diabetes (2 papers)Journal of the American Society of Nephrology (2 papers)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Xiaoxin X. Wang
38 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 91
- Nephrology 396
- Endocrinology, Diabetes and Metabolism 483
- Hepatology 156
- Oncology 528
- Clinical Biochemistry 108
Countries citing papers authored by Xiaoxin X. Wang
This map shows the geographic impact of Xiaoxin X. 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 Xiaoxin X. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxin X. Wang more than expected).
Fields of papers citing papers by Xiaoxin X. Wang
This network shows the impact of papers produced by Xiaoxin X. 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 Xiaoxin X. Wang. The network helps show where Xiaoxin X. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoxin X. 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 256 | |
| 2 | 2007 | 194 | |
| 3 | 2013 | 189 | |
| 4 | 2015 | 162 | |
| 5 | 2010 | 156 | |
| 6 | 2010 | 155 | |
| 7 | 2009 | 138 | |
| 8 | 2009 | 120 | |
| 9 | 2005 | 93 | |
| 10 | 2011 | 69 | |
| 11 | 2016 | 54 | |
| 12 | 2017 | 52 | |
| 13 | 2020 | 50 | |
| 14 | 2017 | 47 | |
| 15 | 2013 | 43 | |
| 16 | 2018 | 43 | |
| 17 | 2013 | 35 | |
| 18 | 2020 | 34 | |
| 19 | 2011 | 33 | |
| 20 | 2021 | 32 |
About Xiaoxin X. Wang
Xiaoxin X. Wang is a scholar working on Molecular Biology, Oncology, Epidemiology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (10 papers), Liver Disease Diagnosis and Treatment (8 papers), Cholesterol and Lipid Metabolism (7 papers), Birth, Development, and Health (5 papers), Hormonal Regulation and Hypertension (5 papers), Apelin-related biomedical research (2 papers), Pancreatitis Pathology and Treatment (2 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Nephrology (396 citations), Endocrinology, Diabetes and Metabolism (483 citations), Hepatology (156 citations), Oncology (528 citations) and Clinical Biochemistry (108 citations). Xiaoxin X. Wang has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Moshe Levi, Tao Jiang, Luciano Adorini, Moshe Levi, Mark Pruzanski, Yuhuan Luo, Pnina Scherzer, Jeffrey B. Kopp, Evgenia Dobrinskikh and Yan Shen. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Journal of Biological Chemistry, Journal of Cell Science, Diabetes and Journal of the American Society of 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.