Anka G Ehrhardt

1.4k citations
10 papers · 584 · h-index 10

Impact in

  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques
    • Cell Image Analysis Techniques
  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics

Papers in

Anka G Ehrhardt

10 papers receiving 582 citations

Peers

Anka G Ehrhardt
Comparison fields: 5 of 80
  • Biophysics 83
  • Cell Biology 132
  • Molecular Biology 443
  • Aging 9
  • Cellular and Molecular Neuroscience 91
Replace Cristina Cellurale with:
Cristina Cellurale United States
Lisa L. Gallegos United States
Chika Ohshima Japan
Jeffrey Klarenbeek Netherlands
Rafael D. Fritz Switzerland
Nichole Giles Australia
Paulina Strzyz Germany
Francesca De Giorgi Italy
Gregor Reither Germany
Marieke Willemse Netherlands
Anka G Ehrhardt relative to Cristina Cellurale United States Cristina Cellurale's profile →
Citations per field
00.5×1.6×
Cristina Cellurale · 1×
Citations per year

Countries citing papers authored by Anka G Ehrhardt

Since Specialization
Citations

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

Fields of papers citing papers by Anka G Ehrhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anka G Ehrhardt. 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 Anka G Ehrhardt. The network helps show where Anka G Ehrhardt may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2008265
2 2006134
3 200644
4 200736
5 200531
6 199622
7 201216
8 201915
9 201612
10 20169

About Anka G Ehrhardt

Anka G Ehrhardt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Oncology and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 584 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Receptor Mechanisms and Signaling (3 papers), Single-cell and spatial transcriptomics (2 papers), interferon and immune responses (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Ion channel regulation and function (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Biophysics (83 citations), Cell Biology (132 citations), Molecular Biology (443 citations), Aging (9 citations) and Cellular and Molecular Neuroscience (91 citations). Anka G Ehrhardt has collaborated with scholars based in United States, Australia and Ukraine. Frequent co-authors include Roger J. Davis, Christopher D. Harvey, Cristina Cellurale, Haining Zhong, Ryohei Yasuda, Karel Svoboda, Richard A. Flavell, Anja Jaeschke, Kevan M. Shokat and Chao Zhang. Their work appears in journals such as Genes & Development, The Journal of Cell Biology, Journal of Cellular Physiology, Bioorganic & Medicinal Chemistry Letters and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.

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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