P Weidmann

11.0k citations
323 papers · 8.3k · h-index 50

Impact in

Papers in

P Weidmann

307 papers receiving 7.5k citations

Peers

P Weidmann
Comparison fields: 5 of 132
  • Cardiology and Cardiovascular Medicine 3.8k
  • Nephrology 1.2k
  • Endocrinology, Diabetes and Metabolism 2.5k
  • Pharmacology 839
  • Physiology 1.2k
Replace Frej Fyhrquist with:
Frej Fyhrquist Finland
Maarten A.D.H. Schalekamp Netherlands
Jean E. Sealey United States
Robert C. Tarazi United States
Bernard Waeber Switzerland
Achille C. Pessina Italy
Michael L. Tuck United States
Joël Ménard France
Kazuaki Shimamoto Japan
Fritz R. Bühler Switzerland
P Weidmann relative to Frej Fyhrquist Finland Frej Fyhrquist's profile →
Citations per field
00.5×1.5×
Frej Fyhrquist · 1×
Citations per year

Countries citing papers authored by P Weidmann

Since Specialization
Citations

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

Fields of papers citing papers by P Weidmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P Weidmann. 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 P Weidmann. The network helps show where P Weidmann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 323 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975340
2 1986272
3 1991171
4 1977155
5 1996153
6 1978152
7 1985145
8 1990145
9 1988142
10 1986140
11 1971133
12 1979129
13 1979123
14 1988117
15 1983112
16 1987109
17
Therapeutic efficacy of different antihypertensive drugs in human diabetic nephropathy: an updated meta-analysis.
1995102
18 198598
19 199398
20 197290

About P Weidmann

P Weidmann is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Pulmonary and Respiratory Medicine and Nephrology, having authored 323 papers that have together received 8.3k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (80 papers), Blood Pressure and Hypertension Studies (78 papers), Heart Failure Treatment and Management (31 papers), Pharmacology and Obesity Treatment (29 papers), Electrolyte and hormonal disorders (27 papers), Sodium Intake and Health (20 papers), Lipoproteins and Cardiovascular Health (19 papers) and Diet and metabolism studies (17 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.8k citations), Nephrology (1.2k citations), Endocrinology, Diabetes and Metabolism (2.5k citations), Pharmacology (839 citations) and Physiology (1.2k citations). P Weidmann has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include C Beretta-Piccoli, Paolo Ferrari, Dominik E. Uehlinger, S. Shaw, Markus Gnädinger, Walter Ziegler, Sidney Shaw, Morton H. Maxwell, G Keusch and Maximilian de Courten. Their work appears in journals such as Journal of Molecular Medicine, Kidney International, Journal of Hypertension, Journal of Cardiovascular Pharmacology and European Journal of Clinical Pharmacology.

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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