Peter A. Rutherford

1.4k citations
64 papers · 1.1k · h-index 18

Impact in

Papers in

Peter A. Rutherford

54 papers receiving 1k citations

Peers

Peter A. Rutherford
Comparison fields: 5 of 82
  • Nephrology 757
  • Cardiology and Cardiovascular Medicine 135
  • Transplantation 13
  • Toxicology 13
  • Health Information Management 20
Replace Germán T. Hernández with:
Germán T. Hernández United States
Marian Kaldas United States
Tadashi Sofue Japan
Katy G. Wilkens United States
Natália Alencar de Pinho France
Mona Razavian Australia
Lucia Di Micco Italy
Hyung‐Seok Lee South Korea
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Clint Hurst United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter A. Rutherford

Since Specialization
Citations

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

Fields of papers citing papers by Peter A. Rutherford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003308
2 201587
3 199881
4 200956
5 201750
6 199238
7 201537
8 199227
9
Adequacy targets can be met in anuric patients by automated peritoneal dialysis: baseline data from EAPOS.
200126
10 199225
11 200125
12 202125
13 201122
14 201622
15 201722
16 201620
17 199519
18 200318
19 200318
20 201418

About Peter A. Rutherford

Peter A. Rutherford is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine and Toxicology, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (43 papers), Ion Transport and Channel Regulation (11 papers), Blood Pressure and Hypertension Studies (8 papers), Vasculitis and related conditions (4 papers), Renal Diseases and Glomerulopathies (2 papers), Pregnancy and preeclampsia studies (1 paper), Central Venous Catheters and Hemodialysis (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Nephrology (757 citations), Cardiology and Cardiovascular Medicine (135 citations), Transplantation (13 citations), Toxicology (13 citations) and Health Information Management (20 citations). Peter A. Rutherford has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Trevor H. Thomas, Simon Davies, Edwina Anne Brown, José C. Divino Filho, Edward F. Vonesh, Werner Riegel, Frédérique Meeus, Ian C. West, Dirk Faict and Filip de Vin. Their work appears in journals such as Nephrology Dialysis Transplantation, Peritoneal Dialysis International, BMC Nephrology, Clinical Science and Patient Preference and Adherence.

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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