M. Lafitte

984 citations
28 papers · 757 · h-index 15

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 3
    • RNA and protein synthesis mechanisms 2
    • Cancer Cells and Metastasis 2
    • HER2/EGFR in Cancer Research 2
    • Colorectal Cancer Treatments and Studies 2

M. Lafitte

26 papers receiving 741 citations

Peers

M. Lafitte
Comparison fields: 5 of 83
  • Immunology and Allergy 69
  • Cancer Research 141
  • Molecular Biology 378
  • Oncology 130
  • Cardiology and Cardiovascular Medicine 103
Replace Julie DeWever with:
Julie DeWever Belgium
Katie O’Callaghan United States
Manjiri M. Bakre India
C. Leann Hinkle United States
Mousumi Majumdar United States
Nir Ben‐Chetrit Israel
Olivier Calvayrac France
Laura Yuste Spain
Alexander P. Adler United States
Elizabeth Monaghan-Benson United States
M. Lafitte relative to Julie DeWever Belgium Julie DeWever's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Lafitte

Since Specialization
Citations

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

Fields of papers citing papers by M. Lafitte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016168
2 2008107
3 201892
4 201563
5 201346
6 202045
7 201336
8 201933
9 198526
10 201519
11 202018
12 201818
13 201216
14 201515
15 200814
16 202213
17 20158
18 19845
19 19834
20 20173

About M. Lafitte

M. Lafitte is a scholar working on Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine, Epidemiology and Geophysics, having authored 28 papers that have together received 757 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Geological and Geophysical Studies Worldwide (2 papers), Geological and Geochemical Analysis (2 papers), Cancer Cells and Metastasis (2 papers), Geochemistry and Geologic Mapping (2 papers), HER2/EGFR in Cancer Research (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Immunology and Allergy (69 citations), Cancer Research (141 citations), Molecular Biology (378 citations), Oncology (130 citations) and Cardiology and Cardiovascular Medicine (103 citations). M. Lafitte has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Serge Roche, Audrey Sirvent, Derek R. Duckett, Laura H. Rosenberg, Sai Pradeep Velagapudi, Matthew D. Disney, Donald G. Phinney, Christopher L. Haga, Michael D. Cameron and Stéphane Lafitte. Their work appears in journals such as Mineralium Deposita, Molecular Cancer, Diagnostic and Interventional Imaging, Cancer Research and Archives of cardiovascular diseases.

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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