Daniel W. Wilkey
Impact in
- Nephrology top 2%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- Epigenetics and DNA Methylation 3
- Ion Transport and Channel Regulation 3
- Amyloidosis: Diagnosis, Treatment, Outcomes 3
- Nephrology 10
- Renal Diseases and Glomerulopathies 7
- Chronic Kidney Disease and Diabetes 6
- Co-authors
- Michael L. Merchant (43 shared papers)Jon B. Klein (16 shared papers)Ilse M. Rood (4 shared papers)Jeroen K. Deegens (4 shared papers)Jack F.M. Wetzels (3 shared papers)Wim P.M. Tamboer (1 shared paper)Timothy D. Cummins (4 shared papers)David W. Powell (4 shared papers)
- Journals
- Journal of the American Society of Nephrology (4 papers)Cancers (3 papers)Kidney International (3 papers)Scientific Reports (3 papers)Hepatology Communications (2 papers)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Daniel W. Wilkey
42 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Nephrology 226
- Cancer Research 223
- Molecular Biology 717
- Hepatology 50
- Immunology and Allergy 33
Countries citing papers authored by Daniel W. Wilkey
This map shows the geographic impact of Daniel W. Wilkey'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 Daniel W. Wilkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Wilkey more than expected).
Fields of papers citing papers by Daniel W. Wilkey
This network shows the impact of papers produced by Daniel W. Wilkey. 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 Daniel W. Wilkey. The network helps show where Daniel W. Wilkey may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel W. Wilkey, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 206 | |
| 2 | 2010 | 173 | |
| 3 | 2009 | 110 | |
| 4 | 2008 | 69 | |
| 5 | 2021 | 65 | |
| 6 | 2017 | 53 | |
| 7 | 2017 | 52 | |
| 8 | 2016 | 44 | |
| 9 | 2013 | 38 | |
| 10 | 2015 | 33 | |
| 11 | 2013 | 31 | |
| 12 | 2015 | 28 | |
| 13 | 2020 | 27 | |
| 14 | 2017 | 24 | |
| 15 | 2018 | 23 | |
| 16 | 2008 | 23 | |
| 17 | 2017 | 22 | |
| 18 | 2020 | 21 | |
| 19 | 2021 | 20 | |
| 20 | 2019 | 19 |
About Daniel W. Wilkey
Daniel W. Wilkey is a scholar working on Molecular Biology, Nephrology, Epidemiology, Cell Biology and Hepatology, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (7 papers), Chronic Kidney Disease and Diabetes (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Liver physiology and pathology (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Epigenetics and DNA Methylation (3 papers), Ion Transport and Channel Regulation (3 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers). The work is most often cited by research in Nephrology (226 citations), Cancer Research (223 citations), Molecular Biology (717 citations), Hepatology (50 citations) and Immunology and Allergy (33 citations). Daniel W. Wilkey has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Michael L. Merchant, Jon B. Klein, Ilse M. Rood, Jeroen K. Deegens, Jack F.M. Wetzels, Wim P.M. Tamboer, Timothy D. Cummins, David W. Powell, Elias Klein and K. Jill McAfee. Their work appears in journals such as Journal of the American Society of Nephrology, Cancers, Kidney International, Scientific Reports and Hepatology Communications.
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.