Rose Perich

438 citations
19 papers · 347 · h-index 10

Impact in

Papers in

Rose Perich

19 papers receiving 330 citations

Peers

Rose Perich
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 234
  • Endocrinology, Diabetes and Metabolism 103
  • Genetics 63
  • Cellular and Molecular Neuroscience 35
  • Pharmacology 30
Replace Maurice E. Fabiani with:
Maurice E. Fabiani Australia
Larissa M. de Lannoy Netherlands
Angela Schnell Germany
Franziska Rompe Germany
Atsuko Fujiyama Japan
Hiroya Masaki Japan
Manuela Sommerfeld Germany
Michael S. LaPointe United States
Dzau Vj United States
Y M Pinto Netherlands
Rose Perich relative to Maurice E. Fabiani Australia Maurice E. Fabiani's profile →
Citations per field
00.5×1.5×1.8×
Maurice E. Fabiani · 1×
Citations per year

Countries citing papers authored by Rose Perich

Since Specialization
Citations

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

Fields of papers citing papers by Rose Perich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 199065
2 199052
3 199136
4 199226
5 199623
6 199221
7 199421
8 199221
9 199815
10 199411
11 19929
12 19928
13 19958
14 19917
15 19967
16 19925
17 19875
18 19955
19 19942

About Rose Perich

Rose Perich is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Hematology, having authored 19 papers that have together received 347 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (10 papers), Protein Hydrolysis and Bioactive Peptides (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (3 papers), Analytical Methods in Pharmaceuticals (2 papers), Hormonal Regulation and Hypertension (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (234 citations), Endocrinology, Diabetes and Metabolism (103 citations), Genetics (63 citations), Cellular and Molecular Neuroscience (35 citations) and Pharmacology (30 citations). Rose Perich has collaborated with scholars based in Australia, Germany and Japan. Frequent co-authors include Colin I. Johnston, Bruce Jackson, Bruno Fabris, B. Jackson, Masahiro Kohzuki, C. I. Johnston, Siew Yeen Chai, Frederick A.O. Mendelsohn, David Casley and Fraser M. Rogerson. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, Journal of Hypertension, Blood Pressure, Journal of Cardiovascular Pharmacology and Heart.

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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