Marc Ferrara

1.5k total citations
28 papers, 1.3k citations indexed

About

Marc Ferrara is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Marc Ferrara has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Cell Biology and 5 papers in Physiology. Recurrent topics in Marc Ferrara's work include Amino Acid Enzymes and Metabolism (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Muscle Physiology and Disorders (3 papers). Marc Ferrara is often cited by papers focused on Amino Acid Enzymes and Metabolism (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Muscle Physiology and Disorders (3 papers). Marc Ferrara collaborates with scholars based in France, Morocco and United States. Marc Ferrara's co-authors include Daniel Béchet, Alain Bruhat, Pierre Fafournoux, Céline Jousse, Didier Attaix, Christiane Deval, Sylvie Mordier, Yves‐Jean Bignon, Stéphane Lafarge and Lydie Combaret and has published in prestigious journals such as Molecular and Cellular Biology, Oncogene and Biochemical Journal.

In The Last Decade

Marc Ferrara

28 papers receiving 1.2k citations

Peers

Marc Ferrara
Comparison fields: 5 of 85
  • Molecular Biology 849
  • Cell Biology 424
  • Physiology 260
  • Genetics 193
  • Epidemiology 145
Replace Timothy W. Fawcett with:
Timothy W. Fawcett United States
Sylvie Mordier France
Richard Blouin Canada
John H. Tinsley United States
Ke Guo China
Matthew G. Hartman United States
Young Gyu Ko South Korea
Ivan Nemazanyy France
William S. Stirewalt United States
Danielle N. Gross United States
Timothy W. Fawcett United States View profile →
Citations per field, relative to Marc Ferrara
Marc Ferrara · 1×
Citations per year, relative to Marc Ferrara
Marc Ferrara · 1×

Countries citing papers authored by Marc Ferrara

Since Specialization
Citations

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

Fields of papers citing papers by Marc Ferrara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Ferrara

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Ferrara. A scholar is included among the top collaborators of Marc Ferrara 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 Marc Ferrara. Marc Ferrara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
AKT and p21 WAF1/CIP1 as potential genistein targets in BRCA1-mutant human breast cancer cell lines.
15
2 22
3 143
4 140
5 8
6 43
7 163
8
Amino acid limitation regulates CHOP expression through a specific pathway independent of the unfolded protein response
4
9 13
10 77
11 14
12 8
13 5
14 7
15 33
16 17
17 8
18
Muscle differentiation in the bovine fetus: a histological and histochemical approach.
31
19 13
20 25

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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