Karen S. Servilla
- Nephrology top 1%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Epidemiology
- Co-authors
- Antonios H. TzamaloukasGerald C. GroggelPhilip G. ZagerEdward J. BedrickDana C. MiskulinMark RohrscheibYijuan SunGlen H. Murata
- Topics
- Dialysis and Renal Disease Management (31 papers)Central Venous Catheters and Hemodialysis (11 papers)Blood Pressure and Hypertension Studies (9 papers)
- Partner nations
- United StatesNigeriaAustralia
In The Last Decade
Karen S. Servilla
59 papers receiving 918 citations
Peers
Comparison fields: 5 of 93
- Nephrology 454
- Cardiology and Cardiovascular Medicine 259
- Surgery 211
- Pulmonary and Respiratory Medicine 150
- Epidemiology 95
Countries citing papers authored by Karen S. Servilla
This map shows the geographic impact of Karen S. Servilla'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 Karen S. Servilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen S. Servilla more than expected).
Fields of papers citing papers by Karen S. Servilla
This network shows the impact of papers produced by Karen S. Servilla. 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 Karen S. Servilla. The network helps show where Karen S. Servilla may publish in the future.
Co-authorship network of co-authors of Karen S. Servilla
This figure shows the co-authorship network connecting the top 25 collaborators of Karen S. Servilla. A scholar is included among the top collaborators of Karen S. Servilla 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 Karen S. Servilla. Karen S. Servilla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 13 | |
| 3 | 4 | |
| 4 | 76 | |
| 5 | 19 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 23 | |
| 9 | 14 | |
| 10 | 10 | |
| 11 | 69 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 8 | |
| 15 | Computation of the dose of continuous peritoneal dialysis required for adequate peritoneal urea clearance without taking into account peritoneal transport indices. | 1 |
| 16 | 94 | |
| 17 | 24 | |
| 18 | 3 | |
| 19 | 11 | |
| 20 | 6 |
About Karen S. Servilla
Karen S. Servilla is a scholar working on Nephrology, Emergency Medical Services and Endocrinology, Diabetes and Metabolism, having authored 63 papers that have together received 949 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (31 papers), Central Venous Catheters and Hemodialysis (11 papers) and Blood Pressure and Hypertension Studies (9 papers). The work is most often cited by research in Nephrology (454 citations), Cardiology and Cardiovascular Medicine (259 citations) and Emergency Medical Services (79 citations). Karen S. Servilla has collaborated with scholars based in United States, Nigeria and Australia. Frequent co-authors include Antonios H. Tzamaloukas, Gerald C. Groggel, Philip G. Zager, Edward J. Bedrick, Dana C. Miskulin, Mark Rohrscheib, Yijuan Sun, Glen H. Murata, William C. Hunt and Christopher Adams. Their work appears in journals such as Annals of Internal Medicine, Diabetes Care and Hypertension.
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.