Marc Navre

5.2k citations
49 papers · 3.8k · h-index 31

Impact in

Papers in

    • Signaling Pathways in Disease 3
    • Ion Transport and Channel Regulation 3
    • Protein Degradation and Inhibitors 3
    • Protease and Inhibitor Mechanisms 17

Marc Navre

49 papers receiving 3.7k citations

Peers

Marc Navre
Comparison fields: 5 of 125
  • Cancer Research 1.0k
  • Immunology and Allergy 330
  • Oncology 1.2k
  • Molecular Biology 1.8k
  • Hematology 255
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Michael G. Brattain United States
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Citations per field
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Citations per year

Countries citing papers authored by Marc Navre

Since Specialization
Citations

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

Fields of papers citing papers by Marc Navre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007330
2 2001304
3 1991247
4 2010217
5 2001202
6 1993188
7
Expression of the metalloproteinase matrilysin in DU-145 cells increases their invasive potential in severe combined immunodeficient mice.
1993174
8
Modulation of matrilysin levels in colon carcinoma cell lines affects tumorigenicity in vivo.
1994169
9 1993146
10 2014128
11 2006121
12 1995119
13 2010107
14 199694
15 199190
16 201489
17 199887
18 199979
19 199573
20 198868

About Marc Navre

Marc Navre is a scholar working on Molecular Biology, Cancer Research, Oncology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 49 papers that have together received 3.8k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (17 papers), Peptidase Inhibition and Analysis (15 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Adipose Tissue and Metabolism (4 papers), Diabetes Treatment and Management (4 papers), Signaling Pathways in Disease (3 papers), Ion Transport and Channel Regulation (3 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Cancer Research (1.0k citations), Immunology and Allergy (330 citations), Oncology (1.2k citations), Molecular Biology (1.8k citations) and Hematology (255 citations). Marc Navre has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Lynn M. Matrisian, Susan McDonnell, Lihong Shi, G M Ringold, Mina J. Bissell, André Lochter, Zena Werb, Robert J. Coffey, R.J. Skene and Yiqin Wu. Their work appears in journals such as Journal of Medicinal Chemistry, Proceedings of the National Academy of Sciences, Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry and Gastroenterology.

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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