Michelle LaFevre-Bernt

1.4k citations
9 papers · 1.2k indexed · 1 hit paper · h-index 8

Michelle LaFevre-Bernt

9 papers receiving 1.2k citations

Hit Papers

Activation of the Sire-family tyrosine kinase Hck by SH3 ...5301997202620062016100200300400500

Peers

Michelle LaFevre-Bernt
Comparison fields: 5 of 74
  • Cellular and Molecular Neuroscience 377
  • Virology 87
  • Developmental Neuroscience 74
  • Molecular Biology 898
  • Cell Biology 185
Replace Roland Tacke with:
Roland Tacke United States
Lisa A. Taneyhill United States
Ron Wides Israel
Matthew J. Hannah United Kingdom
Alphonse Krystosek United States
Amaris R. Guardiola United States
Clement A. Stanyon United States
Zuqin Nie United States
Gloria Jih United States
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Michelle LaFevre-Bernt relative to Roland Tacke United States Roland Tacke's profile →
Citations per field
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Roland Tacke · 1×
Citations per year

Countries citing papers authored by Michelle LaFevre-Bernt

Since Specialization
Citations

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

Fields of papers citing papers by Michelle LaFevre-Bernt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle LaFevre-Bernt. 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 Michelle LaFevre-Bernt. The network helps show where Michelle LaFevre-Bernt may publish in the future.

Co-authorship network

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

All Works

9 of 9 papers shown
#Work
1 200815
2 2006115
3 2005168
4 2004144
5 200361
6 19986
7 199893
8
Activation of the Sire-family tyrosine kinase Hck by SH3 domain displacementbreakdown →
1997530
9 199473

About Michelle LaFevre-Bernt

Michelle LaFevre-Bernt is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cell Biology, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (4 papers), Glycosylation and Glycoproteins Research (2 papers), Mitochondrial Function and Pathology (2 papers), Biochemical and Molecular Research (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Virus-based gene therapy research (1 paper), Cancer Research and Treatments (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (377 citations), Virology (87 citations) and Developmental Neuroscience (74 citations). Michelle LaFevre-Bernt has collaborated with scholars based in United States and Bulgaria. Frequent co-authors include Frank Sicheri, John Kuriyan, Chi‐Hon Lee, Morgan Huse, Ismail Moarefi, W. Todd Miller, Lisa Ellerby, Christopher A. Ross, Juliette Gafni and Gladys Arreaza. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cancer Therapeutics, Nature, Neuron and Proceedings of the National Academy of Sciences.

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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