Anu Shah
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Clinical Biochemistry top 10%
- Advanced Glycation End Products research
Papers in ⓘ
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- Advanced Glycation End Products research 2
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- Diet, Metabolism, and Disease 3
- Co-authors
- Ling Xia (3 shared papers)I. George Fantus (3 shared papers)Howard Goldberg (2 shared papers)Susan E. Quaggin (2 shared papers)Ken W. Lee (1 shared paper)Elodie Masson (2 shared papers)Eric A. Shikatani (2 shared papers)Abdul Momen (2 shared papers)
- Journals
- iScience (1 paper)American Journal of Physiology-Endocrinology and Metabolism (1 paper)Journal of the American Society of Nephrology (1 paper)Diabetes (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Anu Shah
11 papers receiving 477 citations
Peers
Comparison fields: 5 of 78
- Nephrology 74
- Clinical Biochemistry 56
- Endocrinology, Diabetes and Metabolism 75
- Biochemistry 29
- Molecular Biology 268
Countries citing papers authored by Anu Shah
This map shows the geographic impact of Anu Shah'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 Anu Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anu Shah more than expected).
Fields of papers citing papers by Anu Shah
This network shows the impact of papers produced by Anu Shah. 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 Anu Shah. The network helps show where Anu Shah may publish in the future.
Co-authors
The 25 scholars most cited alongside Anu Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 133 | |
| 2 | 2013 | 119 | |
| 3 | 2015 | 90 | |
| 4 | 2013 | 43 | |
| 5 | 2016 | 37 | |
| 6 | 2015 | 26 | |
| 7 | 2012 | 14 | |
| 8 | 2010 | 13 | |
| 9 | 2020 | 7 | |
| 10 | 2018 | 2 | |
| 11 | 2020 | 1 | |
| 12 | 2011 | 1 |
About Anu Shah
Anu Shah is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Physiology, Nephrology and Cell Biology, having authored 12 papers that have together received 486 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Diet, Metabolism, and Disease (3 papers), Alcohol Consumption and Health Effects (2 papers), Advanced Glycation End Products research (2 papers), Adipose Tissue and Metabolism (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Apelin-related biomedical research (1 paper) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Nephrology (74 citations), Clinical Biochemistry (56 citations), Endocrinology, Diabetes and Metabolism (75 citations), Biochemistry (29 citations) and Molecular Biology (268 citations). Anu Shah has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Ling Xia, I. George Fantus, Howard Goldberg, Susan E. Quaggin, Ken W. Lee, Elodie Masson, Eric A. Shikatani, Abdul Momen, Mansoor Husain and Rohan John. Their work appears in journals such as iScience, American Journal of Physiology-Endocrinology and Metabolism, Journal of the American Society of Nephrology, Diabetes and Journal of Biological Chemistry.
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.