P. Weisweiler

882 total citations
59 papers, 702 citations indexed

About

P. Weisweiler is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research. According to data from OpenAlex, P. Weisweiler has authored 59 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Endocrinology, Diabetes and Metabolism, 32 papers in Surgery and 20 papers in Cancer Research. Recurrent topics in P. Weisweiler's work include Diabetes, Cardiovascular Risks, and Lipoproteins (29 papers), Lipoproteins and Cardiovascular Health (27 papers) and Cancer, Lipids, and Metabolism (20 papers). P. Weisweiler is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (29 papers), Lipoproteins and Cardiovascular Health (27 papers) and Cancer, Lipids, and Metabolism (20 papers). P. Weisweiler collaborates with scholars based in Germany and United States. P. Weisweiler's co-authors include P. Schwändt, Michael Drosner, Martin Middeke, H. Holzgreve, Dieter Jüngst, Werner Richter, Volker Heinemann, Wolfgang H. Caselmann, Eberhard von Hodenberg and Lothar Färber and has published in prestigious journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and The American Journal of Medicine.

In The Last Decade

P. Weisweiler

56 papers receiving 629 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P. Weisweiler Germany 16 375 338 169 115 115 59 702
W R Hazzard United States 10 338 0.9× 392 1.2× 129 0.8× 134 1.2× 174 1.5× 12 682
Peter Röschlau United States 8 291 0.8× 283 0.8× 207 1.2× 120 1.0× 91 0.8× 10 814
Roger L. Barnhart United States 14 362 1.0× 274 0.8× 219 1.3× 150 1.3× 124 1.1× 22 862
H B Brewer United States 5 319 0.9× 280 0.8× 120 0.7× 96 0.8× 125 1.1× 6 616
G. Kakis Canada 15 343 0.9× 380 1.1× 183 1.1× 176 1.5× 97 0.8× 25 1.0k
J D Morrisett United States 13 316 0.8× 440 1.3× 154 0.9× 279 2.4× 142 1.2× 18 928
D. Sommariva Italy 13 265 0.7× 295 0.9× 116 0.7× 101 0.9× 164 1.4× 51 717
Gemma Gianfranceschi Italy 14 318 0.8× 320 0.9× 140 0.8× 141 1.2× 86 0.7× 18 635
S. Martini Italy 14 297 0.8× 449 1.3× 162 1.0× 167 1.5× 146 1.3× 27 912
P.M.J. Stuyt Netherlands 14 309 0.8× 312 0.9× 97 0.6× 129 1.1× 105 0.9× 32 579

Countries citing papers authored by P. Weisweiler

Since Specialization
Citations

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

Fields of papers citing papers by P. Weisweiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Weisweiler

This figure shows the co-authorship network connecting the top 25 collaborators of P. Weisweiler. A scholar is included among the top collaborators of P. Weisweiler 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 P. Weisweiler. P. Weisweiler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Greten, Heiner, Frank Ulrich Beil, Jürgen E. Schneider, et al.. (1994). Treatment of primary hypercholesterolemia: Fluvastatin versus bezafibrate. The American Journal of Medicine. 96(6). S55–S63. 21 indexed citations
2.
3.
Weisweiler, P.. (1988). Simvastatin and bezafibrate: Effects on serum lipoproteins and lecithin: Cholesterol acyltransferase activity in familial hypercholesterolaemia. European Journal of Clinical Pharmacology. 35(6). 579–583. 24 indexed citations
4.
Weisweiler, P.. (1988). Effects of bezafibrate and gemfibrozil on serum lipoproteins in primary hypercholesterolemia.. PubMed. 38(7). 925–7. 4 indexed citations
5.
Weisweiler, P.. (1987). Isolation and quantitation of apolipoproteins A-I and A-II from human high-density lipoproteins by fast-protein liquid chromatography. Clinica Chimica Acta. 169(2-3). 249–254. 87 indexed citations
6.
Jüngst, Dieter, et al.. (1987). Relation of hyperlipidemia in serum and loss of high density lipoproteins in urine in the nephrotic syndrome. Clinica Chimica Acta. 168(2). 159–167. 18 indexed citations
7.
Weisweiler, P.. (1987). Plasma Lipoproteins and Lipase and LecithinrCholesterol Acyltransferase Activities in Obese Subjects Before and After Weight Reduction. The Journal of Clinical Endocrinology & Metabolism. 65(5). 969–973. 33 indexed citations
8.
Weisweiler, P., et al.. (1985). Analysis of serum lipoproteins in insulin-dependent (type I) and noninsulin-dependent (type II) diabetes mellitus.. PubMed. 13. 104–10. 1 indexed citations
9.
Weisweiler, P., et al.. (1984). Effect of fenofibrate on serum lipoproteins in subjects with familial hypercholesterolemia and combined hyperlipidemia. Atherosclerosis. 53(3). 321–325. 13 indexed citations
10.
Schwändt, P., et al.. (1982). Cholestyramine plus pectin in treatment of patients with familial hypercholesterolemia. Atherosclerosis. 44(3). 379–383. 4 indexed citations
11.
Weisweiler, P., Michael Drosner, & P. Schwändt. (1982). Dietary effects on very low-density lipoproteins in type 2 (non-insulin-dependent) diabetes mellitus. Diabetologia. 23(2). 101–103. 28 indexed citations
12.
Weisweiler, P. & P. Schwändt. (1981). Effects of etiroxate on low density and high density lipoproteins in hypercholesterolemic patients. Atherosclerosis. 39(1). 45–49. 7 indexed citations
13.
Schwändt, P. & P. Weisweiler. (1980). The effect of D-thyroxine on lipoprotein lipids and apolipoproteins in primary type IIa hyperlipoproteinemia. Atherosclerosis. 35(3). 301–306. 20 indexed citations
14.
Schwändt, P., et al.. (1979). Serum lipoprotein lipids after gemfibrozil treatment.. PubMed. 5(2). 117–24. 14 indexed citations
15.
Weisweiler, P. & P. Schwändt. (1978). Lipid composition of serum lipoproteins in patients with primary type IIb and type IV hyperlipoproteinemia. Atherosclerosis. 31(1). 53–58. 7 indexed citations
16.
Schwändt, P., et al.. (1976). [Effect of clofibrate on glucose tolerance and insulin secretion in patients with endogenous hypertriglyceridemia (author's transl)].. PubMed. 118(12). 351–4. 1 indexed citations
17.
Weisweiler, P. & P. Schwändt. (1975). [Glucose tolerance, insulin and lipids after one week's administration of fenfluramine to overweight patients (author's transl)].. PubMed. 117(48). 1925–8. 1 indexed citations
18.
Weisweiler, P. & P. Schwändt. (1972). [Studies on two lipid-mobilizing polypeptides (peptide A and peptide B) from swine hypophyses].. PubMed. 12. Suppl 12:58–60. 1 indexed citations
19.
Schwändt, P., et al.. (1971). Zur Wirkung eines lipidmobilisierenden Peptids aus Schweinehypophysen bei verschiedenen Species. Journal of Molecular Medicine. 49(7). 437–439. 1 indexed citations
20.
Schwändt, P., P. Weisweiler, & R. Lamerz. (1971). Darstellung eines lipolytisch wirksamen Polypeptids (Peptid A) aus Hypophysen vom Schwein. Research in Experimental Medicine. 155(3). 195–203. 4 indexed citations

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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