C. Sandholzer

2.5k citations
20 papers · 2.0k · h-index 16

Impact in

Papers in

C. Sandholzer

20 papers receiving 2.0k citations

Peers

C. Sandholzer
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 676
  • Surgery 1.3k
  • Cancer Research 429
  • Cardiology and Cardiovascular Medicine 282
  • Nephrology 54
Replace H. Menzel with:
H. Menzel Germany
P Vague France
Ib Christian Klausen Denmark
Alfred Szamosi Sweden
Folke Schmidt Germany
P Költringer Austria
Jacopo Burrello Italy
Sofia Tseleni‐Balafouta Greece
U de Faire Sweden
Rolf Steffensen Denmark
C. Sandholzer relative to H. Menzel Germany H. Menzel's profile →
Citations per field
00.5×1.5×2.2×
H. Menzel · 1×
Citations per year

Countries citing papers authored by C. Sandholzer

Since Specialization
Citations

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

Fields of papers citing papers by C. Sandholzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
The apolipoprotein E polymorphism: a comparison of allele frequencies and effects in nine populations.
1991439
2 1991323
3 1992289
4 1992224
5 1992144
6 1993113
7
Lipoprotein(a) in women twins: heritability and relationship to apolipoprotein(a) phenotypes.
199292
8 199467
9 199358
10 199553
11 199246
12 199340
13 199238
14 199229
15 199424
16 199420
17 199515
18 199514
19 199614
20
[Acute tonsillitis: clinical symptoms; bacteriologic culture and rapid test as deciding criteria for the use of antibiotics].
19903

About C. Sandholzer

C. Sandholzer is a scholar working on Surgery, Cancer Research, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Genetics, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (17 papers), Cancer, Lipids, and Metabolism (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Genetic Associations and Epidemiology (3 papers), Vitamin K Research Studies (2 papers), Lipid metabolism and disorders (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (676 citations), Surgery (1.3k citations), Cancer Research (429 citations), Cardiology and Cardiovascular Medicine (282 citations) and Nephrology (54 citations). C. Sandholzer has collaborated with scholars based in Austria, United States and Singapore. Frequent co-authors include Gerd Utermann, Eric Boerwinkle, N. Saha, H. Menzel, David Hallman, Hans Dieplinger, H.G. Kraft, Carolin Lackner, Fritz Hoppichler and J.D. Kark. Their work appears in journals such as Human Genetics, Journal of Clinical Investigation, Atherosclerosis, Human Mutation and European Journal of Clinical 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.

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