Marcel Garcia

7.6k citations
149 papers · 6.5k · h-index 46

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 14
    • RNA Interference and Gene Delivery 13
    • Protease and Inhibitor Mechanisms 31

Marcel Garcia

147 papers receiving 6.3k citations

Peers

Marcel Garcia
Comparison fields: 5 of 134
  • Cancer Research 1.5k
  • Immunology and Allergy 498
  • Biomaterials 714
  • Oncology 1.1k
  • Molecular Biology 2.7k
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Citations per field
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Citations per year

Countries citing papers authored by Marcel Garcia

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Garcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004294
2 2005282
3 1986251
4
Association between high concentrations of Mr 52,000 cathepsin D and poor prognosis in primary human breast cancer.
1989227
5 2002201
6 1989169
7 2011160
8
Overexpression of transfected cathepsin D in transformed cells increases their malignant phenotype and metastatic potency.
1990158
9 2007145
10 2014139
11 1996137
12 1990126
13 2000121
14 2014107
15 2002101
16 1994100
17 200198
18 198397
19 199888
20 200385

About Marcel Garcia

Marcel Garcia is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Materials Chemistry and Genetics, having authored 149 papers that have together received 6.5k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (31 papers), Nanoplatforms for cancer theranostics (30 papers), Estrogen and related hormone effects (23 papers), Cell Adhesion Molecules Research (16 papers), Advanced biosensing and bioanalysis techniques (14 papers), Photodynamic Therapy Research Studies (13 papers), RNA Interference and Gene Delivery (13 papers) and Porphyrin and Phthalocyanine Chemistry (13 papers). The work is most often cited by research in Cancer Research (1.5k citations), Immunology and Allergy (498 citations), Biomaterials (714 citations), Oncology (1.1k citations) and Molecular Biology (2.7k citations). Marcel Garcia has collaborated with scholars based in France, United States and New Zealand. Frequent co-authors include Henri Rochefort, Magali Gary‐Bobo, Nadine Platet, Danielle Derocq, Marie Maynadier, Emmanuelle Liaudet‐Coopman, Jean‐Olivier Durand, Alain Morère, Michel Gleizes and Murielle Glondu. Their work appears in journals such as Journal of Materials Chemistry B, Chemistry - A European Journal, Oncogene, RSC Advances and Journal of Controlled Release.

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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