Patricia Wahl
- Endocrinology, Diabetes and Metabolism top 0.2%
- Surgery top 2%
- Physiology top 1%
- Nephrology top 0.2%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Wilfred Y. FujimotoDonna L. LeonettiJoanne HooverRobert H. KnoppLaura Newell‐MorrisCarolyn E. WaldenJohn J. AlbersRichard W Bergstrom
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (37 papers)Lipoproteins and Cardiovascular Health (21 papers)Adipokines, Inflammation, and Metabolic Diseases (9 papers)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Patricia Wahl
89 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Endocrinology, Diabetes and Metabolism 2.7k
- Surgery 1.5k
- Physiology 1.4k
- Nephrology 1.4k
- Cardiology and Cardiovascular Medicine 1.2k
Countries citing papers authored by Patricia Wahl
This map shows the geographic impact of Patricia Wahl'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 Patricia Wahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia Wahl more than expected).
Fields of papers citing papers by Patricia Wahl
This network shows the impact of papers produced by Patricia Wahl. 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 Patricia Wahl. The network helps show where Patricia Wahl may publish in the future.
Co-authorship network of co-authors of Patricia Wahl
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Wahl. A scholar is included among the top collaborators of Patricia Wahl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patricia Wahl. Patricia Wahl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 190 | |
| 2 | 110 | |
| 3 | 20 | |
| 4 | 53 | |
| 5 | 67 | |
| 6 | Fibroblast growth factor 23 is elevated before parathyroid hormone and phosphate in chronic kidney diseasebreakdown → | 917 |
| 7 | 340 | |
| 8 | 73 | |
| 9 | 22 | |
| 10 | 188 | |
| 11 | 18 | |
| 12 | 37 | |
| 13 | 79 | |
| 14 | 45 | |
| 15 | 40 | |
| 16 | 11 | |
| 17 | 38 | |
| 18 | 55 | |
| 19 | 78 | |
| 20 | 37 |
About Patricia Wahl
Patricia Wahl is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Biochemistry, having authored 90 papers that have together received 7.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (37 papers), Lipoproteins and Cardiovascular Health (21 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). The work is most often cited by research in Nephrology (1.4k citations), Endocrinology, Diabetes and Metabolism (2.7k citations) and Endocrine and Autonomic Systems (406 citations). Patricia Wahl has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Wilfred Y. Fujimoto, Donna L. Leonetti, Joanne Hoover, Robert H. Knopp, Laura Newell‐Morris, Carolyn E. Walden, John J. Albers, Richard W Bergstrom, William R. Hazzard and John A. Robbins. Their work appears in journals such as New England Journal of Medicine, The Lancet and Circulation.
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.