What is he best known for?
The fields of study he is best known for:
His main research concerns Cancer research, Cell biology, RNA interference, Signal transduction and Biochemistry.
He has researched Cancer research in several fields, including Cancer cell, CD34 and Pharmacology.
His Cell biology research includes elements of Exocytosis and Lysosome.
His research on RNA interference concerns the broader Genetics.
His work deals with themes such as RNA, Interaction network and Transcription, which intersect with Signal transduction.
His research on Endosome also deals with topics like
- Flow cytometry which connect with High-throughput screening,
- Secretion which is related to area like Molecular biology.
His most cited work include:
- Genome-Scale RNAi Screen for Host Factors Required for HIV Replication (653 citations)
- Exploiting Synthetic Lethality for the Therapy of ABC Diffuse Large B Cell Lymphoma (372 citations)
- High-throughput combinatorial screening identifies drugs that cooperate with ibrutinib to kill activated B-cell–like diffuse large B-cell lymphoma cells (262 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Cancer research, Cell biology, High-throughput screening, Pharmacology and Molecular biology.
His study in Cancer research is interdisciplinary in nature, drawing from both Cancer cell, Cancer, Metastasis, Cell culture and In vivo.
He studies Signal transduction, a branch of Cell biology.
The High-throughput screening study combines topics in areas such as Computational biology and Small molecule.
His work in Computational biology addresses issues such as RNA interference, which are connected to fields such as Bioinformatics.
His Pharmacology research is multidisciplinary, incorporating perspectives in Agonist and Receptor.
He most often published in these fields:
- Cancer research (26.67%)
- Cell biology (16.08%)
- High-throughput screening (14.51%)
What were the highlights of his more recent work (between 2017-2021)?
- Cancer research (26.67%)
- In vivo (9.41%)
- Cell biology (16.08%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Cancer research, In vivo, Cell biology, Cancer cell and Agonist.
His Cancer research study combines topics from a wide range of disciplines, such as Cell, Cell culture and Cancer, Ovarian cancer, Metastasis.
His In vivo study also includes fields such as
- In vitro which intersects with area such as Bioinformatics and Regenerative medicine,
- Risk analysis most often made with reference to Drug discovery.
His Cell biology study integrates concerns from other disciplines, such as Dermis, Human skin and Spongiosis.
His Cancer cell research incorporates elements of Autophagy, Pancreatic cancer, Immune system, Autolysosome and Perinucleolar compartment.
His research in Agonist intersects with topics in Biophysics, Pharmacology, Small molecule and Innate immune system.
Between 2017 and 2021, his most popular works were:
- High-throughput screening identified selective inhibitors of exosome biogenesis and secretion: A drug repurposing strategy for advanced cancer (73 citations)
- MEK inhibition induces MYOG and remodels super-enhancers in RAS-driven rhabdomyosarcoma. (41 citations)
- Therapeutic strategies for diffuse midline glioma from high-throughput combination drug screening (40 citations)
In his most recent research, the most cited papers focused on:
Marc Ferrer mostly deals with Cancer research, Cell biology, Cancer cell, Autophagy and Skin equivalent.
The study incorporates disciplines such as Tipifarnib, Secretion, ESCRT, Receptor and High-throughput screening in addition to Cancer research.
Marc Ferrer combines subjects such as PI3K/AKT/mTOR pathway, Signal transduction, Pediatric cancer and Carcinogenesis with his study of Receptor.
Marc Ferrer undertakes multidisciplinary studies into Cell biology and GPR32 in his work.
His biological study spans a wide range of topics, including Cell culture, In vitro, Immune system and RNA polymerase.
His studies deal with areas such as Gating, Electrophysiology and Membrane potential as well as Autophagy.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
