Michelle Vinocour

1.7k total citations · 1 hit paper
9 papers, 1.5k citations indexed

About

Michelle Vinocour is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, Michelle Vinocour has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Immunology. Recurrent topics in Michelle Vinocour's work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Immune Response and Inflammation (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). Michelle Vinocour is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Immune Response and Inflammation (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). Michelle Vinocour collaborates with scholars based in United States. Michelle Vinocour's co-authors include Marion M. Nau, John D. Minna, Takashi Takahashi, Itsuo Chiba, Mark L. Levitt, Michael J. Birrer, Adi F. Gazdar, Richard K. Rosenberg, Harvey I. Pass and William L. Farrar and has published in prestigious journals such as Science, Blood and The Journal of Immunology.

In The Last Decade

Michelle Vinocour

9 papers receiving 1.4k citations

Hit Papers

p53: A Frequent Target for Genetic Abnormalities in Lung ... 1989 2026 2001 2013 1989 250 500 750 1000

Peers

Michelle Vinocour
Comparison fields: 5 of 84
  • Molecular Biology 762
  • Oncology 748
  • Cancer Research 305
  • Pulmonary and Respiratory Medicine 202
  • Biotechnology 194
Replace Nancy Galvin with:
Nancy Galvin United States
Raffaella Iannone Italy
Paul W. Cook United States
Riichi Takahashi Japan
Tetsuji Sekiya Japan
Manuel Sánchez‐Martín Spain
Wen-Chung Chang United States
Jan Parker‐Thornburg United States
Luciana Chessa Italy
Andrea Gashler United States
Nancy Galvin United States View profile →
Citations per field, relative to Michelle Vinocour
Michelle Vinocour · 1×
Citations per year, relative to Michelle Vinocour
Michelle Vinocour · 1×

Countries citing papers authored by Michelle Vinocour

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Vinocour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Vinocour

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Vinocour. A scholar is included among the top collaborators of Michelle Vinocour based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michelle Vinocour. Michelle Vinocour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 66
2 68
3
p53: A Frequent Target for Genetic Abnormalities in Lung Cancer breakdown →
1052
4 104
5 13
6 145
7 10
8 4
9 1

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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2026