Paul Yan
Impact in
- Nephrology top 2%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Renal Diseases and Glomerulopathies 4
- Chronic Kidney Disease and Diabetes 3
-
- RNA and protein synthesis mechanisms 1
- Renal and related cancers 1
- Co-authors
- Martin R. Pollak (4 shared papers)Johannes Schlöndorff (3 shared papers)Seth L. Alper (3 shared papers)David J. Friedman (2 shared papers)Nathan H. Zahler (1 shared paper)Lynn VerPlank (1 shared paper)John F. Heneghan (1 shared paper)Salvatore DiBartolo (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Journal of Prevention of Alzheimer s Disease (1 paper)Journal of the American Society of Nephrology (1 paper)Kidney International (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Paul Yan
9 papers receiving 378 citations
Peers
Comparison fields: 5 of 73
- Nephrology 230
- Genetics 90
- Gastroenterology 23
- Transplantation 11
- Ophthalmology 31
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 | 153 | |
| 2 | 2013 | 48 | |
| 3 | 2015 | 45 | |
| 4 | 2018 | 45 | |
| 5 | 2016 | 35 | |
| 6 | 2020 | 24 | |
| 7 | 2020 | 17 | |
| 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 380 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Spine and Intervertebral Disc Pathology (1 paper), Genetic and Kidney Cyst Diseases (1 paper), Celiac Disease Research and Management (1 paper), RNA and protein synthesis mechanisms (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Nephrology (230 citations), Genetics (90 citations), Gastroenterology (23 citations), Transplantation (11 citations) and Ophthalmology (31 citations). Paul Yan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Martin R. Pollak, Johannes Schlöndorff, Seth L. Alper, David J. Friedman, Nathan H. Zahler, Lynn VerPlank, John F. Heneghan, Salvatore DiBartolo, Opeyemi A. Olabisi and Jung Hee Suh. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Prevention of Alzheimer s Disease, Journal of the American Society of Nephrology, Kidney International 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.