Ursula Danilczyk

13 papers receiving 1.1k citations

Peers

Ursula Danilczyk
Comparison fields: 5 of 84
  • Biochemistry 132
  • Cardiology and Cardiovascular Medicine 285
  • Infectious Diseases 216
  • Endocrinology, Diabetes and Metabolism 160
  • Cell Biology 138
Replace Jochen R. Hirsch with:
Jochen R. Hirsch Germany
Chad M. Trent United States
Elke Wagner Austria
Teresa Pasqua Italy
Eric Baugé France
Laelie A. Snook Canada
Charles P. Rodi United States
Tatsuo Ishizuka Japan
Teresa Coll Spain
Y.H. Abdulla United Kingdom
Ursula Danilczyk relative to Jochen R. Hirsch Germany Jochen R. Hirsch's profile →
Citations per field
00.5×5.0×
Jochen R. Hirsch · 1×
Citations per year

Countries citing papers authored by Ursula Danilczyk

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Danilczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2008230
2 2006213
3 2006193
4 2002125
5 200085
6 200183
7 200362
8 200953
9 200430
10
[Biosynthesis of progesterone in the rat placenta].
198227
11 199111
12 19843
13 19852

About Ursula Danilczyk

Ursula Danilczyk is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pharmacology, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (6 papers), Amino Acid Enzymes and Metabolism (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Hormonal Regulation and Hypertension (3 papers), Apelin-related biomedical research (3 papers), Cardiovascular Effects of Exercise (2 papers), Galectins and Cancer Biology (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Biochemistry (132 citations), Cardiology and Cardiovascular Medicine (285 citations), Infectious Diseases (216 citations), Endocrinology, Diabetes and Metabolism (160 citations) and Cell Biology (138 citations). Ursula Danilczyk has collaborated with scholars based in Canada, Austria and Switzerland. Frequent co-authors include Josef Penninger, David B. Williams, Urs Eriksson, Dustin Singer, Simone M. R. Camargo, François Verrey, Carsten A. Wagner, Victoria Makrides, Myrna F. Cohen-Doyle and Katja Huggel. Their work appears in journals such as Journal of Biological Chemistry, Cellular and Molecular Life Sciences, Circulation Research, Current Biology and Nature.

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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