Paul Yan
Impact in
- Nephrology top 2%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Parathyroid Disorders and Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Renal Diseases and Glomerulopathies 4
- Chronic Kidney Disease and Diabetes 2
- Co-authors
- Martin R. Pollak (4 shared papers)Seth L. Alper (3 shared papers)Johannes Schlöndorff (3 shared papers)David J. Friedman (2 shared papers)Opeyemi A. Olabisi (1 shared paper)John F. Heneghan (1 shared paper)Nathan H. Zahler (1 shared paper)Jung Hee Suh (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of the American Society of Nephrology (1 paper)The Journal of Prevention of Alzheimer s Disease (1 paper)American Journal of Physiology-Renal Physiology (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Paul Yan
9 papers receiving 383 citations
Peers
Comparison fields: 5 of 70
- Nephrology 225
- Genetics 72
- Ophthalmology 28
- Gastroenterology 17
- Transplantation 7
Countries citing papers authored by Paul Yan
This map shows the geographic impact of Paul Yan'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 Paul Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Yan more than expected).
Fields of papers citing papers by Paul Yan
This network shows the impact of papers produced by Paul Yan. 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 Paul Yan. The network helps show where Paul Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Yan, 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 | 2015 | 155 | |
| 2 | 2013 | 48 | |
| 3 | 2018 | 46 | |
| 4 | 2015 | 45 | |
| 5 | 2016 | 35 | |
| 6 | 2020 | 25 | |
| 7 | 2020 | 18 | |
| 8 | 2018 | 12 | |
| 9 | 2017 | 1 |
About Paul Yan
Paul Yan is a scholar working on Nephrology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 385 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (4 papers), Chronic Kidney Disease and Diabetes (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Biomedical Research and Pathophysiology (1 paper), Retinal Diseases and Treatments (1 paper), Magnesium in Health and Disease (1 paper), Dementia and Cognitive Impairment Research (1 paper) and Medical Imaging and Analysis (1 paper). The work is most often cited by research in Nephrology (225 citations), Genetics (72 citations), Ophthalmology (28 citations), Gastroenterology (17 citations) and Transplantation (7 citations). Paul Yan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Martin R. Pollak, Seth L. Alper, Johannes Schlöndorff, David J. Friedman, Opeyemi A. Olabisi, John F. Heneghan, Nathan H. Zahler, Jung Hee Suh, Salvatore DiBartolo and Lynn VerPlank. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Society of Nephrology, The Journal of Prevention of Alzheimer s Disease, American Journal of Physiology-Renal Physiology and PLoS Genetics.
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.