Rita Müller

52 papers receiving 1.8k citations

Rita Müller's Hit Papers

Inhibitors of Angiotensin-Converting Enzyme Prevent Myointimal Proliferation After Vascular Injury 1989 · 926 citations
9260+12+24Years since publication250500750

Peers

Rita Müller
Comparison fields: 5 of 120
  • Cardiology and Cardiovascular Medicine 714
  • Endocrinology, Diabetes and Metabolism 263
  • Biochemistry 112
  • Genetics 91
  • Pharmacology 146
Replace D. Neumeier with:
D. Neumeier Germany
Yoshihiko Ikeda Japan
Yuichi Fujii Japan
Chi‐Sun Wang United States
Fumitoshi Asai Japan
Kiyoshi Kobayashi Japan
Asad Vaisi‐Raygani Iran
Xiaofeng Fan United States
Abishek Iyer Australia
Thomas Bocan United States
Rita Müller relative to D. Neumeier Germany D. Neumeier's profile →
Citations per field
00.5×1.5×2.2×
D. Neumeier · 1×
Citations per year

Countries citing papers authored by Rita Müller

Since Specialization
Citations

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

Fields of papers citing papers by Rita Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inhibitors of Angiotensin-Converting Enzyme Prevent Myointimal Proliferation After Vascular Injury
Hit paper breakdown →
1989926
2 1991111
3 1990107
4 198276
5 199166
6 199958
7 197139
8 199332
9 200329
10 201529
11 201027
12 198227
13 198826
14 199125
15 200225
16 202025
17 201524
18 202220
19 199520
20 202320

About Rita Müller

Rita Müller is a scholar working on Molecular Biology, Oncology, Surgery, Spectroscopy and Biochemistry, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Enzyme Structure and Function (4 papers), Analytical Chemistry and Chromatography (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Renin-Angiotensin System Studies (3 papers), Peptidase Inhibition and Analysis (3 papers) and Antifungal resistance and susceptibility (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (714 citations), Endocrinology, Diabetes and Metabolism (263 citations), Biochemistry (112 citations), Genetics (91 citations) and Pharmacology (146 citations). Rita Müller has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Hans R. Baumgartner, Jerry S. Powell, Fridolin Hefti, Herbert Kühn, Markus Hosang, Konrad Grob, Jean‐Paul Clozel, Franz Hefti, Wolfgang Osterrieder and Johan N. Jansonius. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Chromatography A, Journal of Molecular Biology, Hypertension and Toxins.

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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