Angela Schulz

2.7k citations
77 papers · 2.0k indexed · h-index 27

Impact in

Papers in

Angela Schulz

73 papers receiving 2.0k citations

Peers

Angela Schulz
Comparison fields: 5 of 93
  • Nephrology 225
  • Endocrinology, Diabetes and Metabolism 331
  • Cellular and Molecular Neuroscience 333
  • Cardiology and Cardiovascular Medicine 364
  • Molecular Biology 1.1k
Replace Elizabeth J. Galbreath with:
Elizabeth J. Galbreath United States
Belén Peral Spain
Charles R. Lane United States
Sharon Barone United States
Florian Grahammer Germany
Frank Park United States
Fumiaki Marumo Japan
T Imai Japan
P. Darwin Bell United States
May Bloch-Faure France
Angela Schulz relative to Elizabeth J. Galbreath United States Elizabeth J. Galbreath's profile →
Citations per field
00.5×2.5×
Elizabeth J. Galbreath · 1×
Citations per year

Countries citing papers authored by Angela Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Angela Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20236
3 20234
4 20237
5 20223
6 201923
7 201415
8 20108
9 200911
10 20084
11 200724
12 200373
13 20021
14 200258
15 200251
16 200241
17 200053
18 200087
19 200057
20 200073

About Angela Schulz

Angela Schulz is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Internal Medicine, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Birth, Development, and Health (15 papers), Hormonal Regulation and Hypertension (14 papers), Renin-Angiotensin System Studies (13 papers), Renal Diseases and Glomerulopathies (11 papers), Receptor Mechanisms and Signaling (10 papers), Chronic Kidney Disease and Diabetes (7 papers), Ion Transport and Channel Regulation (7 papers) and Electrolyte and hormonal disorders (5 papers). The work is most often cited by research in Nephrology (225 citations), Endocrinology, Diabetes and Metabolism (331 citations), Cellular and Molecular Neuroscience (333 citations), Cardiology and Cardiovascular Medicine (364 citations) and Molecular Biology (1.1k citations). Angela Schulz has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Torsten Schöneberg, Reinhold Kreutz, Thomas Gudermann, Katrin Sangkuhl, Günter Schultz, Heike Biebermann, Holger Römpler, Peter Koßmehl, Thomas Hermsdorf and Annette Grüters. Their work appears in journals such as Physiological Genomics, Journal of Hypertension, Journal of Biological Chemistry, American Journal of Hypertension and Journal of the American Society of Nephrology.

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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