Marc Ferrer
- Physiology top 0.5%
- Virology top 1%
- Molecular Biology top 2%
- Receptor Mechanisms and Signaling 17
- RNA Interference and Gene Delivery 16
- Cancer Research top 5%
- Immunology top 5%
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- 3D Printing in Biomedical Research 23
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- Cancer Cells and Metastasis 17
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- Monoclonal and Polyclonal Antibodies Research 11
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- Neuropeptides and Animal Physiology 10
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- Computational Drug Discovery Methods 10
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- Cellular Mechanics and Interactions 9
- Co-authors
- Juan MarugánNoel SouthallBerta StruloviciXin HuXiaohua Douglas ZhangElizabeth A. OttingerJames R. MaioloErica Stec
- Cited by
- PhysiologyVirologyMolecular Biology
- Journals
- SLAS DISCOVERY (21 papers)Scientific Reports (11 papers)Assay and Drug Development Technologies (10 papers)
- Partner nations
- United StatesJapanSpain
In The Last Decade
Marc Ferrer
196 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Physiology 565
- Virology 569
- Molecular Biology 4.0k
- Cancer Research 638
- Immunology 876
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 19 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2022 | 39 | |
| 7 | 2021 | 20 | |
| 8 | 2019 | 19 | |
| 9 | 2019 | 22 | |
| 10 | 2017 | 50 | |
| 11 | 2017 | 4 | |
| 12 | 2016 | 48 | |
| 13 | 2015 | 22 | |
| 14 | 2010 | 1 | |
| 15 | 2008 | 37 | |
| 16 | 2008 | 16 | |
| 17 | 2007 | 8 | |
| 18 | 2004 | 24 | |
| 19 | 2003 | 26 | |
| 20 | 2003 | 33 |
About Marc Ferrer
Marc Ferrer is a scholar working on Physiology, Molecular Biology and Biophysics, having authored 201 papers that have together received 7.1k 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 (17 papers), RNA Interference and Gene Delivery (16 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Neuropeptides and Animal Physiology (10 papers), Computational Drug Discovery Methods (10 papers) and Cellular Mechanics and Interactions (9 papers). The work is most often cited by research in Physiology (565 citations), Virology (569 citations) and Molecular Biology (4.0k citations). Marc Ferrer has collaborated with scholars based in United States, Japan and Spain. 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.