Marc Ferrer
Impact in
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism
- Virology top 1%
- HIV Research and Treatment
Papers in
-
- Receptor Mechanisms and Signaling 17
- RNA Interference and Gene Delivery 15
- Oncology 30
- Cancer Cells and Metastasis 16
- Co-authors
- Juan Marugán (60 shared papers)Noel Southall (61 shared papers)Berta Strulovici (24 shared papers)Xin Hu (43 shared papers)Xiaohua Douglas Zhang (14 shared papers)Elizabeth A. Ottinger (4 shared papers)James R. Maiolo (2 shared papers)Erica Stec (8 shared papers)
- Journals
- SLAS DISCOVERY (21 papers)Scientific Reports (11 papers)Assay and Drug Development Technologies (10 papers)Journal of Medicinal Chemistry (9 papers)Analytical Biochemistry (8 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Marc Ferrer
202 papers receiving 7.4k citations
Marc Ferrer's Hit Papers
Peers
Comparison fields: 5 of 146
- Physiology 571
- Virology 538
- Molecular Biology 3.9k
- Cancer Research 599
- Immunology 855
Countries citing papers authored by Marc Ferrer
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
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.
All Works
Showing the 20 most-cited of 206 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 → | 2008 | 636 |
| 2 | MCOLN1 is a ROS sensor in lysosomes that regulates autophagy Hit paper breakdown → | 2016 | 453 |
| 3 | 2018 | 246 | |
| 4 | 2005 | 214 | |
| 5 | 2015 | 205 | |
| 6 | 2017 | 189 | |
| 7 | 2009 | 168 | |
| 8 | 2013 | 158 | |
| 9 | 2008 | 151 | |
| 10 | 2021 | 150 | |
| 11 | 2014 | 146 | |
| 12 | 2015 | 145 | |
| 13 | 1999 | 131 | |
| 14 | 2008 | 130 | |
| 15 | 2015 | 121 | |
| 16 | 2019 | 102 | |
| 17 | 2014 | 99 | |
| 18 | 2019 | 90 | |
| 19 | 2003 | 88 | |
| 20 | 2016 | 83 |
About Marc Ferrer
Marc Ferrer is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Immunology and Cellular and Molecular Neuroscience, having authored 206 papers that have together received 7.5k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (23 papers), Receptor Mechanisms and Signaling (17 papers), Cancer Cells and Metastasis (16 papers), RNA Interference and Gene Delivery (15 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Computational Drug Discovery Methods (10 papers), Neuropeptides and Animal Physiology (10 papers) and HIV/AIDS drug development and treatment (9 papers). The work is most often cited by research in Physiology (571 citations), Virology (538 citations), Molecular Biology (3.9k citations), Cancer Research (599 citations) and Immunology (855 citations). Marc Ferrer has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Juan Marugán, Noel Southall, Berta Strulovici, Xin Hu, Xiaohua Douglas Zhang, Elizabeth A. Ottinger, James R. Maiolo, Erica Stec, Amy S. Espeseth and Adam Gates. Their work appears in journals such as SLAS DISCOVERY, Scientific Reports, Assay and Drug Development Technologies, Journal of Medicinal Chemistry and Analytical Biochemistry.
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.