Paul M. Palevsky

32.9k citations
205 papers · 15.8k indexed · 6 hit papers · h-index 49

Paul M. Palevsky

200 papers receiving 15.3k citations

Hit Papers

Global epidemiology and outcom...883200420262011201810002.0k3.0k4.0k

Peers

Paul M. Palevsky
Comparison fields: 5 of 161
  • Nephrology 10.5k
  • Critical Care and Intensive Care Medicine 2.8k
  • Emergency Medicine 2.2k
  • Cardiology and Cardiovascular Medicine 2.3k
  • Epidemiology 3.0k
Replace T. Alp İkizler with:
T. Alp İkizler United States
Sean M. Bagshaw Canada
Eric A. J. Hoste Belgium
Ron Wald Canada
Miet Schetz Belgium
Steven G. Coca United States
Sushrut S. Waikar United States
Stuart L. Goldstein United States
Lakhmir S. Chawla United States
Marlies Ostermann United Kingdom
Paul M. Palevsky relative to T. Alp İkizler United States T. Alp İkizler's profile →
Citations per field
00.5×1.7×
T. Alp İkizler · 1×
Citations per year

Countries citing papers authored by Paul M. Palevsky

Since Specialization
Citations

This map shows the geographic impact of Paul M. Palevsky'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 M. Palevsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul M. Palevsky more than expected).

Fields of papers citing papers by Paul M. Palevsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul M. Palevsky. 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 M. Palevsky. The network helps show where Paul M. Palevsky may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Paul M. Palevsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul M. Palevsky Line = papers co-authored together Paul M. Palevsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20238
4 20238
5 202311
6 20232
7 202213
8 202123
9 20219
10 202048
11 202061
12 20197
13
Outcomes after Angiography with Sodium Bicarbonate and Acetylcysteinebreakdown →
2017292
14 20151
15 2015185
16 201485
17 2013101
18 201232
19
Intensity of Renal Support in Critically Ill Patients with Acute Kidney Injurybreakdown →
20081118
20 200627

About Paul M. Palevsky

Paul M. Palevsky is a scholar working on Nephrology, Critical Care and Intensive Care Medicine and Emergency Medicine, having authored 205 papers that have together received 15.8k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (122 papers), Dialysis and Renal Disease Management (67 papers), Chronic Kidney Disease and Diabetes (50 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (34 papers), Sepsis Diagnosis and Treatment (25 papers), Muscle and Compartmental Disorders (19 papers), Electrolyte and hormonal disorders (15 papers) and Hemodynamic Monitoring and Therapy (15 papers). The work is most often cited by research in Nephrology (10.5k citations), Critical Care and Intensive Care Medicine (2.8k citations) and Emergency Medicine (2.2k citations). Paul M. Palevsky has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include John A. Kellum, Rinaldo Bellomo, Claudio Ronco, Ravindra L. Mehta, Steven D. Weisbord, Lakhmir S. Chawla, Theresa O’Connor, Linda F. Fried, Chirag R. Parikh and Michael J. Fine. Their work appears in journals such as New England Journal of Medicine, JAMA and Journal of Biological Chemistry.

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.

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