Ch. Schnack

648 citations
20 papers · 500 indexed · h-index 14

Ch. Schnack

20 papers receiving 476 citations

Peers

Ch. Schnack
Comparison fields: 5 of 71
  • Nephrology 113
  • Endocrinology, Diabetes and Metabolism 154
  • Cardiology and Cardiovascular Medicine 200
  • Obstetrics and Gynecology 44
  • Nutrition and Dietetics 62
Replace Giorgia Pierelli with:
Giorgia Pierelli Italy
Kiyohide Nunoi Japan
Raffaella Riccobene Italy
Rosalia Arsena Italy
Sameer Stas United States
Nobukiyo Koide Japan
Anna Vadalà Italy
Silvia Mennuni Italy
A. S. Krolewski United States
Mohsen Kerkeni Tunisia
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Citations per field
00.5×3.7×
Giorgia Pierelli · 1×
Citations per year

Countries citing papers authored by Ch. Schnack

Since Specialization
Citations

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

Fields of papers citing papers by Ch. Schnack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20091
2 200872
3 200518
4 200510
5 19983
6 199664
7 199636
8 199619
9 199424
10 199416
11
Apolipoprotein (a) levels in patients with type 1 diabetes mellitus are unrelated to metabolic control or vascular disease.
19943
12 199371
13 199321
14 199248
15 199113
16
[Effect of structured ambulatory training of patients with chronic respiratory tract diseases on the efficiency of long-term care].
19912
17 199139
18 198816
19 19871
20 198623

About Ch. Schnack

Ch. Schnack is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 20 papers that have together received 500 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (6 papers), Blood Pressure and Hypertension Studies (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Diabetes Treatment and Management (4 papers), Diabetes Management and Research (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Heart Rate Variability and Autonomic Control (1 paper). The work is most often cited by research in Nephrology (113 citations), Endocrinology, Diabetes and Metabolism (154 citations), Cardiology and Cardiovascular Medicine (200 citations), Obstetrics and Gynecology (44 citations) and Nutrition and Dietetics (62 citations). Ch. Schnack has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Guntram Schernthaner, G. Schernthaner, Rudolf Prager, Hans‐Georg Kopp, Peter Pietschmann, P. Hopmeier, F. Mittermayer, Katarzyna Krzyżanowska, Paul Knöbl and Mathias Müller. Their work appears in journals such as Diabetologia, Experimental and Clinical Endocrinology & Diabetes, Journal of Molecular Medicine, Journal of Clinical Pathology and American Journal of Hypertension.

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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