Peter U. Feig

2.2k citations
30 papers · 1.5k · h-index 18

Impact in

Papers in

Peter U. Feig

30 papers receiving 1.4k citations

Peers

Peter U. Feig
Comparison fields: 5 of 126
  • Nephrology 392
  • Endocrinology, Diabetes and Metabolism 243
  • Pulmonary and Respiratory Medicine 346
  • Pharmacology 88
  • Cardiology and Cardiovascular Medicine 227
Replace N. Schor with:
N. Schor Brazil
Helmer Ring‐Larsen Denmark
Seok Joon Shin South Korea
Ellen McMonagle United States
Sungjin Chung South Korea
Cristino Cruz Mexico
Tatsuo Yamamoto Japan
Peter F. Mount Australia
James W. Lohr United States
John D. Wallin United States
Peter U. Feig relative to N. Schor Brazil N. Schor's profile →
Citations per field
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N. Schor · 1×
Citations per year

Countries citing papers authored by Peter U. Feig

Since Specialization
Citations

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

Fields of papers citing papers by Peter U. Feig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter U. Feig. 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 Peter U. Feig. The network helps show where Peter U. Feig may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter U. Feig, 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 Peter U. Feig Line = papers co-authored together Peter U. Feig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010422
2 1981162
3 1977160
4 201176
5 198071
6 197667
7 198050
8 198649
9 201946
10 198143
11 197843
12 201541
13 199838
14 197932
15 198627
16 199825
17 198124
18 201722
19 201016
20 198213

About Peter U. Feig

Peter U. Feig is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Nephrology, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (8 papers), Electrolyte and hormonal disorders (6 papers), Potassium and Related Disorders (6 papers), Hormonal Regulation and Hypertension (4 papers), Renal function and acid-base balance (4 papers), Dialysis and Renal Disease Management (4 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Nephrology (392 citations), Endocrinology, Diabetes and Metabolism (243 citations), Pulmonary and Respiratory Medicine (346 citations), Pharmacology (88 citations) and Cardiology and Cardiovascular Medicine (227 citations). Peter U. Feig has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Joseph V. Bonventre, Frank Dieterle, Vishal S. Vaidya, Robert Schmouder, Donna K. McCurdy, Irwin Singer, Richard H. Sterns, Malcolm Cox, Thomas A. Golper and Gail Morrison. Their work appears in journals such as Journal of the American Society of Hypertension, Annals of Internal Medicine, New England Journal of Medicine, The American Journal of Cardiology and Diabetes Care.

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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