H. Prais

543 total citations
9 papers, 409 citations indexed

About

H. Prais is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, H. Prais has authored 9 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in H. Prais's work include Lipoproteins and Cardiovascular Health (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Lipid metabolism and disorders (2 papers). H. Prais is often cited by papers focused on Lipoproteins and Cardiovascular Health (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Lipid metabolism and disorders (2 papers). H. Prais collaborates with scholars based in United Kingdom and United States. H. Prais's co-authors include Deepak Bhatnagar, Mike Mackness, Paul N. Durrington, J.G. Morgan, P.N. Durrington, Sharon Arrol, Keith M. Channon, M. France, Jashim Khan and Vivion Crowley and has published in prestigious journals such as The Lancet, Heart and Atherosclerosis.

In The Last Decade

H. Prais

8 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Prais United Kingdom 8 213 190 68 63 62 9 409
P. Brizzi Italy 11 255 1.2× 225 1.2× 143 2.1× 61 1.0× 80 1.3× 17 732
Oscar Jorba Jorba Spain 12 253 1.2× 204 1.1× 78 1.1× 31 0.5× 76 1.2× 17 516
Osamah Hussein Israel 12 170 0.8× 158 0.8× 86 1.3× 65 1.0× 48 0.8× 21 514
Thomas Dayspring United States 14 342 1.6× 183 1.0× 125 1.8× 66 1.0× 84 1.4× 33 617
T. LINDÉN Sweden 12 337 1.6× 171 0.9× 123 1.8× 59 0.9× 47 0.8× 16 543
Jörgen Mölgaard Sweden 8 228 1.1× 81 0.4× 67 1.0× 113 1.8× 57 0.9× 14 459
D. Sommariva Italy 13 295 1.4× 265 1.4× 101 1.5× 48 0.8× 116 1.9× 51 717
Anna Rita Roscini Italy 16 244 1.1× 210 1.1× 230 3.4× 85 1.3× 123 2.0× 26 723
G Perani Italy 12 177 0.8× 113 0.6× 182 2.7× 84 1.3× 72 1.2× 34 738
Marju Tilly-Kiesi Finland 16 285 1.3× 348 1.8× 122 1.8× 24 0.4× 96 1.5× 23 568

Countries citing papers authored by H. Prais

Since Specialization
Citations

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

Fields of papers citing papers by H. Prais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Prais

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

All Works

9 of 9 papers shown
1.
Rutter, Martin K., H. Prais, Matthew Gittins, et al.. (2010). Protection Against Nephropathy in Diabetes with Atorvastatin (PANDA): a randomized double‐blind placebo‐controlled trial of high‐ vs. low‐dose atorvastatin1. Diabetic Medicine. 28(1). 100–108. 26 indexed citations
2.
Kwok, See, Peter Selby, Patrick McElduff, et al.. (2004). Progestogens of varying androgenicity and cardiovascular risk factors in postmenopausal women receiving oestrogen replacement therapy. Clinical Endocrinology. 61(6). 760–767. 24 indexed citations
3.
Durrington, P.N. & H. Prais. (2001). Methods for the prediction of coronary heart disease risk. Heart. 85(5). 489–490. 1 indexed citations
4.
Prais, H., Deepak Bhatnagar, M. France, et al.. (1999). Indications for cholesterol-lowering medication: comparison of risk-assessment methods. The Lancet. 353(9149). 278–281. 66 indexed citations
5.
6.
Mackness, Mike, Deepak Bhatnagar, P.N. Durrington, et al.. (1994). Effects of a new fish oil concentrate on plasma lipids and lipoproteins in patients with hypertriglyceridaemia.. PubMed. 48(12). 859–65. 56 indexed citations
7.
Bhatnagar, Deepak, P.N. Durrington, Keith M. Channon, H. Prais, & Mike Mackness. (1993). Increased transfer of cholesteryl esters from high density lipoproteins to low density and very low density lipoproteins in patients with angiographic evidence of coronary artery disease. Atherosclerosis. 98(1). 25–32. 57 indexed citations
8.
Bhatnagar, Deepak, Colin D. Short, M. Mackness, et al.. (1993). Serum lipoprotein (a) concentrations in patients undergoing continuous ambulatory peritoneal dialysis. Nephrology Dialysis Transplantation. 8(1). 71–74. 16 indexed citations
9.
Bhatnagar, Deepak, Paul N. Durrington, Mike Mackness, et al.. (1992). Effects of treatment of hypertriglyceridaemia with gemfibrozil on serum lipoproteins and the transfer of cholesteryl ester from high density lipoproteins to low density lipoproteins. Atherosclerosis. 92(1). 49–57. 41 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026