Anke Scholz

501 citations
17 papers · 427 · h-index 11

Impact in

Papers in

Anke Scholz

17 papers receiving 422 citations

Peers

Anke Scholz
Comparison fields: 5 of 59
  • Cardiology and Cardiovascular Medicine 127
  • Cellular and Molecular Neuroscience 94
  • Biophysics 30
  • Molecular Biology 260
  • Plant Science 81
Replace Dorothy Engle with:
Dorothy Engle United States
Stuart L. Jacobson Canada
Masak Takaine Japan
Ellen E. Cho United States
Miklós Képiró Hungary
Giri Raj Dahal South Korea
Kang Ren China
Peter Kolosov Russia
Thomas Zobel Germany
Yungui He United States
Anke Scholz relative to Dorothy Engle United States Dorothy Engle's profile →
Citations per field
00.5×3.9×
Dorothy Engle · 1×
Citations per year

Countries citing papers authored by Anke Scholz

Since Specialization
Citations

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

Fields of papers citing papers by Anke Scholz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200378
2 201557
3 201454
4 201148
5 201233
6 200929
7 201028
8 201126
9 200524
10 201212
11 200911
12 20097
13 19966
14 20156
15 20164
16 20112
17 20092

About Anke Scholz

Anke Scholz is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cell Biology, having authored 17 papers that have together received 427 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (5 papers), Neuroscience and Neural Engineering (4 papers), Cardiac electrophysiology and arrhythmias (4 papers), CRISPR and Genetic Engineering (4 papers), Ion channel regulation and function (3 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (127 citations), Cellular and Molecular Neuroscience (94 citations), Biophysics (30 citations), Molecular Biology (260 citations) and Plant Science (81 citations). Anke Scholz has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Peter Lipp, Lars Kaestner, Sandra Ruppenthal, Xiao Yu Tian, Heike Winter, Steven C. Huber, Shane C. Hardin, Martin Oberhofer, Karin Hammer and Sara Pahlavan. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Journal of Visualized Experiments, The Plant Journal, Bioorganic & Medicinal Chemistry Letters and Biophysical Journal.

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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