Susan T. Crowley
- Nephrology top 0.2%
- Surgery top 5%
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Co-authors
- Paul M. PalevskyGlenn M. ChertowTheresa O’ConnorSuzanne WatnickAldo J. PeixotoJohn A. KellumDevasmita ChoudhuryAnitha Vijayan
- Topics
- Dialysis and Renal Disease Management (21 papers)Chronic Kidney Disease and Diabetes (11 papers)Blood Pressure and Hypertension Studies (8 papers)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Susan T. Crowley
61 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Nephrology 1.7k
- Surgery 610
- Epidemiology 468
- Endocrinology, Diabetes and Metabolism 393
- Molecular Biology 388
Countries citing papers authored by Susan T. Crowley
This map shows the geographic impact of Susan T. Crowley'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 Susan T. Crowley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan T. Crowley more than expected).
Fields of papers citing papers by Susan T. Crowley
This network shows the impact of papers produced by Susan T. Crowley. 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 Susan T. Crowley. The network helps show where Susan T. Crowley may publish in the future.
Co-authorship network of co-authors of Susan T. Crowley
This figure shows the co-authorship network connecting the top 25 collaborators of Susan T. Crowley. A scholar is included among the top collaborators of Susan T. Crowley 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 Susan T. Crowley. Susan T. Crowley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 5 | |
| 9 | 126 | |
| 10 | 15 | |
| 11 | 18 | |
| 12 | 53 | |
| 13 | Intensity of Renal Support in Critically Ill Patients with Acute Kidney Injurybreakdown → | 1118 |
| 14 | Intensity of Renal Support for Acute Kidney Injury in the Critically Ill | 4 |
| 15 | 23 | |
| 16 | 10 | |
| 17 | 5 | |
| 18 | 324 | |
| 19 | 4 | |
| 20 | 40 |
About Susan T. Crowley
Susan T. Crowley is a scholar working on Nephrology, Emergency Medical Services and Critical Care and Intensive Care Medicine, having authored 65 papers that have together received 3.0k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (21 papers), Chronic Kidney Disease and Diabetes (11 papers) and Blood Pressure and Hypertension Studies (8 papers). The work is most often cited by research in Nephrology (1.7k citations), Critical Care and Intensive Care Medicine (283 citations) and Emergency Medicine (278 citations). Susan T. Crowley has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Paul M. Palevsky, Glenn M. Chertow, Theresa O’Connor, Suzanne Watnick, Aldo J. Peixoto, John A. Kellum, Devasmita Choudhury, Anitha Vijayan, Roland M.H. Schein and Kevin W. Finkel. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation and Diabetes.
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.