Marc Ferrer

14.4k total citations · 2 hit papers
201 papers, 7.1k citations indexed

About

Marc Ferrer is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Marc Ferrer has authored 201 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Molecular Biology, 33 papers in Oncology and 29 papers in Biomedical Engineering. Recurrent topics in Marc Ferrer's work include 3D Printing in Biomedical Research (23 papers), Receptor Mechanisms and Signaling (17 papers) and Cancer Cells and Metastasis (17 papers). Marc Ferrer is often cited by papers focused on 3D Printing in Biomedical Research (23 papers), Receptor Mechanisms and Signaling (17 papers) and Cancer Cells and Metastasis (17 papers). Marc Ferrer collaborates with scholars based in United States, Japan and Australia. Marc Ferrer's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Marc Ferrer

196 papers receiving 7.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genome-Scale RNAi Screen for Host Factors Required for HIV Replication

2008 615 citations Erica Stec, Marc Ferrer et al. profile →
MCOLN1 is a ROS sensor in lysosomes that regulates autophagy

2016 433 citations Xin Hu, Juan Marugán et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marc Ferrer United States	43	4.0k	876	851	792	705	201	7.1k
Thomas D.Y. Chung United States	24	4.9k 1.2×	608 0.7×	783 0.9×	952 1.2×	470 0.7×	78	7.5k
Stephen Lockett United States	37	3.7k 0.9×	1.4k 1.6×	550 0.6×	1.0k 1.3×	322 0.5×	78	6.7k
Renato Longhi Italy	52	3.9k 1.0×	1.5k 1.8×	615 0.7×	890 1.1×	464 0.7×	210	8.2k
Kevin R. Oldenburg United States	17	4.5k 1.1×	561 0.6×	577 0.7×	722 0.9×	513 0.7×	37	7.0k
Thomas Machleidt United States	35	6.5k 1.6×	1.9k 2.1×	519 0.6×	1.0k 1.3×	551 0.8×	70	9.3k
Jianbin Wang China	52	7.5k 1.9×	1.3k 1.5×	767 0.9×	1.3k 1.6×	786 1.1×	201	11.1k
Ji-Hu Zhang United States	13	4.0k 1.0×	479 0.5×	549 0.6×	663 0.8×	454 0.6×	19	6.3k
Elia J. Duh United States	49	3.8k 1.0×	1.5k 1.7×	833 1.0×	373 0.5×	204 0.3×	103	9.7k
Heinrich Sticht Germany	53	5.1k 1.3×	1.4k 1.6×	1.5k 1.7×	894 1.1×	207 0.3×	290	9.2k
Martin Kampmann United States	43	6.6k 1.7×	541 0.6×	567 0.7×	580 0.7×	172 0.2×	96	8.7k

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-authorship network of co-authors of Marc Ferrer

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Ferrer. A scholar is included among the top collaborators of Marc Ferrer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc Ferrer. Marc Ferrer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fernández‐Rodríguez, Juana, Ignacio Blanco, Claudia Valverde, et al.. (2024). Triple Combination of MEK, BET, and CDK Inhibitors Significantly Reduces Human Malignant Peripheral Nerve Sheath Tumors in Mouse Models. Clinical Cancer Research. 31(5). 907–920. 3 indexed citations

Strong, Caroline E., Jiajing Zhang, Martin A. Carrasco, et al.. (2023). Functional brain region-specific neural spheroids for modeling neurological diseases and therapeutics screening. Communications Biology. 6(1). 1211–1211. 21 indexed citations

Ghosh, Ayan Kumar, Michael Forman, Robert F. Keyes, et al.. (2023). Harnessing the Noncanonical Keap1-Nrf2 Pathway for Human Cytomegalovirus Control. Journal of Virology. 97(4). e0016023–e0016023. 2 indexed citations

Fernández‐Rodríguez, Juana, María Martínez‐Iniesta, Rajarshi Guha, et al.. (2022). A High-Throughput Screening Platform Identifies Novel Combination Treatments for Malignant Peripheral Nerve Sheath Tumors. Molecular Cancer Therapeutics. 21(7). 1246–1258. 7 indexed citations

Feng, Hongxuan, Xin Hu, Xin Sun, et al.. (2021). A high-throughput screening to identify small molecules that suppress huntingtin promoter activity or activate huntingtin-antisense promoter activity. Scientific Reports. 11(1). 6157–6157. 7 indexed citations

Zou, Jinyun, Min Jae Song, G. Sitta Sittampalam, et al.. (2019). Fully Three-Dimensional Bioprinted Skin Equivalent Constructs with Validated Morphology and Barrier Function. Tissue Engineering Part C Methods. 25(6). 334–343. 92 indexed citations

Bian, Yansong, Yaroslav Teper, Lesley A. Mathews Griner, et al.. (2019). Target Deconvolution of a Multikinase Inhibitor with Antimetastatic Properties Identifies TAOK3 as a Key Contributor to a Cancer Stem Cell–Like Phenotype. Molecular Cancer Therapeutics. 18(11). 2097–2110. 19 indexed citations

Kenny, Hilary A., Madhu Lal‐Nag, Min Shen, et al.. (2019). Quantitative High-Throughput Screening Using an Organotypic Model Identifies Compounds that Inhibit Ovarian Cancer Metastasis. Molecular Cancer Therapeutics. 19(1). 52–62. 22 indexed citations

Heske, Christine M., Mindy I. Davis, Joshua T. Baumgart, et al.. (2017). Matrix Screen Identifies Synergistic Combination of PARP Inhibitors and Nicotinamide Phosphoribosyltransferase (NAMPT) Inhibitors in Ewing Sarcoma. Clinical Cancer Research. 23(23). 7301–7311. 50 indexed citations

10.

Hamilton, Duane H., Lesley A. Mathews Griner, Jonathan M. Keller, et al.. (2016). Targeting Estrogen Receptor Signaling with Fulvestrant Enhances Immune and Chemotherapy-Mediated Cytotoxicity of Human Lung Cancer. Clinical Cancer Research. 22(24). 6204–6216. 48 indexed citations

11.

Bhattacharyya, Nisan, Xin Hu, Catherine Z. Chen, et al.. (2014). A High Throughput Screening Assay System for the Identification of Small Molecule Inhibitors of gsp. PLoS ONE. 9(3). e90766–e90766. 12 indexed citations

12.

Mathews, Lesley, Jonathan M. Keller, Bonnie L. Goodwin, et al.. (2012). A 1536-Well Quantitative High-Throughput Screen to Identify Compounds Targeting Cancer Stem Cells. SLAS DISCOVERY. 17(9). 1231–1242. 27 indexed citations

13.

Chung, Namjin, Shane Marine, Emily A. Smith, et al.. (2010). A 1,536-Well Ultra-High-Throughput siRNA Screen to Identify Regulators of the Wnt/β-Catenin Pathway. Assay and Drug Development Technologies. 8(3). 286–294. 12 indexed citations

14.

Ferrer, Marc. (2010). Interview with Marc Ferrer, Ph.D.. Assay and Drug Development Technologies. 8(3). 263–267. 1 indexed citations

15.

Solly, Kelli, John P. Felix, María L. García, et al.. (2008). Miniaturization and HTS of a FRET-Based Membrane Potential Assay for K _ir Channel Inhibitors. Assay and Drug Development Technologies. 6(2). 225–234. 19 indexed citations

16.

Chung, Caroline, Kenji Ohwaki, Jonathan E. Schneeweis, et al.. (2008). A Fluorescence-Based Thiol Quantification Assay for Ultra-High-Throughput Screening for Inhibitors of Coenzyme A Production. Assay and Drug Development Technologies. 6(3). 361–374. 37 indexed citations

17.

Kornienko, Oleg, et al.. (2007). Miniaturization and Automation of an Ubiquitin Ligase Cascade Enzyme-Linked Immunosorbent Assay in 1,536-Well Format. Assay and Drug Development Technologies. 5(4). 493–500. 8 indexed citations

18.

Weber, Michael J., Marc Ferrer, Wei Zheng, et al.. (2004). A 1,536-Well cAMP Assay for Gs- and Gi-Coupled Receptors Using Enzyme Fragmentation Complementation. Assay and Drug Development Technologies. 2(1). 39–49. 24 indexed citations

19.

Peekhaus, Norbert, Marc Ferrer, Oleg Kornienko, et al.. (2003). A β -Lactamase-Dependent Gal4-Estrogen Receptor β Transactivation Assay for the Ultra-High Throughput Screening of Estrogen Receptor β Agonists in a 3,456-Well Format. Assay and Drug Development Technologies. 1(6). 789–800. 26 indexed citations

20.

Ferrer, Marc, Paul Zuck, Suzanne Mandala, et al.. (2003). A Fully Automated [ ³⁵ S]GTPγS Scintillation Proximity Assay for the High-Throughput Screening of G _i -Linked G Protein-Coupled Receptors. Assay and Drug Development Technologies. 1(2). 261–273. 33 indexed citations

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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