W Friedl

1.3k citations
18 papers · 1.0k · h-index 13

Impact in

Papers in

W Friedl

17 papers receiving 979 citations

Peers

W Friedl
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 427
  • Cardiology and Cardiovascular Medicine 366
  • Surgery 516
  • Cancer Research 166
  • Genetics 249
Replace Sumeet A. Khetarpal with:
Sumeet A. Khetarpal United States
Seung Ho Hong South Korea
Ana Catarina Alves Portugal
Karen O. Badellino United States
Randall B. Graham United States
Nadine Baroukh France
Éric Gagné Canada
Hitoshi Ishihara Japan
Ros Whittall United Kingdom
R A Norum United States
W Friedl relative to Sumeet A. Khetarpal United States Sumeet A. Khetarpal's profile →
Citations per field
00.5×1.5×2.2×
Sumeet A. Khetarpal · 1×
Citations per year

Countries citing papers authored by W Friedl

Since Specialization
Citations

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

Fields of papers citing papers by W Friedl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside W Friedl, 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 W Friedl Line = papers co-authored together W Friedl links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1990356
2
High-resolution analysis of a hypervariable region in the human apolipoprotein B gene.
1989147
3 199981
4 199078
5 199064
6 199563
7 198851
8 199638
9 199935
10 199131
11 199130
12 199618
13 199113
14 199811
15
[Germline mutation analysis in hMLH 1 and hMSH 2 genes in hereditary nonpolyposis colorectal cancer and colorectal cancer patients with familial history].
19982
16 20212
17
Familial defective apolipoprotein B-100: molecular basis, prevalence and clinical features.
19911
18 20080

About W Friedl

W Friedl is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Genetics and Pathology and Forensic Medicine, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Heart Failure Treatment and Management (4 papers), Genetic Associations and Epidemiology (3 papers), Renin-Angiotensin System Studies (3 papers), Hormonal Regulation and Hypertension (3 papers), Lipid metabolism and disorders (3 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (427 citations), Cardiology and Cardiovascular Medicine (366 citations), Surgery (516 citations), Cancer Research (166 citations) and Genetics (249 citations). W Friedl has collaborated with scholars based in Austria, United States and China. Frequent co-authors include Brian J. McCarthy, E H Ludwig, F. Sandhofer, Bernhard Paulweber, T L Innerarity, Bernd Puschendorf, Johannes Mair, Jean Davignon, SM Grundy and Franz Krempler. Their work appears in journals such as Journal of Lipid Research, Atherosclerosis, Clinica Chimica Acta, Heart and Scandinavian Journal of Clinical and Laboratory Investigation.

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