Miriam R. Kaplan

1.7k citations
8 papers · 1.4k indexed · 1 hit paper · h-index 7

Miriam R. Kaplan

8 papers receiving 1.4k citations

Hit Papers

Characterization of the signaling interactions that promo...7301995202620052015200400600

Peers

Miriam R. Kaplan
Comparison fields: 5 of 85
  • Developmental Neuroscience 449
  • Cellular and Molecular Neuroscience 862
  • Aging 58
  • Neurology 172
  • Cell Biology 210
Replace Richard Wetts with:
Richard Wetts United States
Darcie L. Moore United States
Anke Meyer‐Franke United States
Ioannis Kramvis Netherlands
Stéphane Belin France
Murray G. Blackmore United States
Anastasia Andreadaki Germany
Bjorn Dortland Netherlands
Richard Fairless Germany
Leanne Godinho United States
Miriam R. Kaplan relative to Richard Wetts United States Richard Wetts's profile →
Citations per field
00.5×5.7×
Richard Wetts · 1×
Citations per year

Countries citing papers authored by Miriam R. Kaplan

Since Specialization
Citations

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

Fields of papers citing papers by Miriam R. Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miriam R. Kaplan. 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 Miriam R. Kaplan. The network helps show where Miriam R. Kaplan may publish in the future.

Co-authorship network

The 19 scholars most cited alongside Miriam R. Kaplan, 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 Miriam R. Kaplan Line = papers co-authored together Miriam R. Kaplan links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2011127
2 2001240
3 1997260
4 199722
5
Characterization of the signaling interactions that promote the survival and growth of developing retinal ganglion cells in culturebreakdown →
1995730
6 19922
7 198316
8 198135

About Miriam R. Kaplan

Miriam R. Kaplan is a scholar working on Developmental Neuroscience, Aging, Biophysics, Immunology and Allergy and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Ion channel regulation and function (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Developmental Neuroscience (449 citations), Cellular and Molecular Neuroscience (862 citations), Aging (58 citations), Neurology (172 citations) and Cell Biology (210 citations). Miriam R. Kaplan has collaborated with scholars based in United States, Israel and India. Frequent co-authors include Anke Meyer‐Franke, Barbara A. Barres, S. Rock Levinson, Ben A. Barres, Erik M. Ullian, Lori L. Isom, Vann Bennett, Stephen B. Lambert, Ian D. Duncan and Kang Shen. Their work appears in journals such as Neuron, Pharmacology, Nature, Journal of Immunological Methods and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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