Marc Ferrer

15.0k citations
243 papers · 11.8k · 3 hit papers · h-index 55

Impact in

  • Physiology top 0.2%
    • Calcium signaling and nucleotide metabolism
  • Virology top 1%
    • HIV Research and Treatment

Papers in

    • Receptor Mechanisms and Signaling 18
    • RNA Interference and Gene Delivery 17
    • Advanced biosensing and bioanalysis techniques 10
    • Cancer Cells and Metastasis 16

Marc Ferrer

241 papers receiving 11.5k citations

Marc Ferrer's Hit Papers

MCOLN1 is a ROS sensor in lysosomes that regulates autophagy 2016 · 466 citations
4660+6+12Years since publication200400600

Peers

Marc Ferrer
Comparison fields: 5 of 157
  • Physiology 825
  • Virology 558
  • Molecular Biology 5.9k
  • Cancer Research 1.0k
  • Immunology 1.4k
Replace Marta M. Lipinski with:
Marta M. Lipinski United States
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Citations per field
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Citations per year

Countries citing papers authored by Marc Ferrer

Since Specialization
Citations

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

Fields of papers citing papers by Marc Ferrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 243 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genome-Scale RNAi Screen for Host Factors Required for HIV Replication
Hit paper breakdown →
2008645
2
Small Molecule Inhibitor of NRF2 Selectively Intervenes Therapeutic Resistance in KEAP1-Deficient NSCLC Tumors
Hit paper breakdown →
2016508
3
MCOLN1 is a ROS sensor in lysosomes that regulates autophagy
Hit paper breakdown →
2016466
4 2012435
5 2014324
6 2020323
7 2013265
8 2018255
9 2017243
10 2005215
11 2015211
12 2017195
13 2019188
14 2013177
15 2009170
16 2014166
17 2019161
18 2021161
19 2006155
20 2015152

About Marc Ferrer

Marc Ferrer is a scholar working on Molecular Biology, Oncology, Immunology, Cellular and Molecular Neuroscience and Physiology, having authored 243 papers that have together received 11.8k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (24 papers), Receptor Mechanisms and Signaling (18 papers), RNA Interference and Gene Delivery (17 papers), Cancer Cells and Metastasis (16 papers), Computational Drug Discovery Methods (14 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Neuropeptides and Animal Physiology (10 papers) and Advanced biosensing and bioanalysis techniques (10 papers). The work is most often cited by research in Physiology (825 citations), Virology (558 citations), Molecular Biology (5.9k citations), Cancer Research (1.0k citations) and Immunology (1.4k citations). Marc Ferrer has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Juan J. Marugan, Noel T Southall, Berta Strulovici, Xin Hu, Xiaohua Douglas Zhang, Elizabeth A. Ottinger, James R. Maiolo, Erica M. Stec, Amy S. Espeseth and Adam T. Gates. Their work appears in journals such as SLAS DISCOVERY, Scientific Reports, Journal of Medicinal Chemistry, PLoS ONE and Assay and Drug Development Technologies.

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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