Michael J. Ferracane

740 total citations · 1 hit paper
14 papers, 483 citations indexed

About

Michael J. Ferracane is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael J. Ferracane has authored 14 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Organic Chemistry and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael J. Ferracane's work include Glycosylation and Glycoproteins Research (8 papers), Carbohydrate Chemistry and Synthesis (5 papers) and Chemical Synthesis and Analysis (4 papers). Michael J. Ferracane is often cited by papers focused on Glycosylation and Glycoproteins Research (8 papers), Carbohydrate Chemistry and Synthesis (5 papers) and Chemical Synthesis and Analysis (4 papers). Michael J. Ferracane collaborates with scholars based in United States, Canada and Sweden. Michael J. Ferracane's co-authors include Stacy A. Malaker, Carolyn R. Bertozzi, Kayvon Pedram, D. Judy Shon, Elliot C. Woods, Jessica R. Kramer, Ulrika Westerlind, Venkatesh Krishnan, Christian Pett and Barbara A. Bensing and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Michael J. Ferracane

14 papers receiving 478 citations

Hit Papers

1 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.

The mucin-selective protease StcE enables molecular and functional analysis of human cancer-associated mucins

2019 184 citations Stacy A. Malaker, Kayvon Pedram et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael J. Ferracane United States	10	395	159	95	54	53	14	483
Annapoorani Ramiah United States	10	336 0.9×	122 0.8×	83 0.9×	31 0.6×	27 0.5×	10	411
Tadamune Otsubo Japan	12	232 0.6×	64 0.4×	85 0.9×	20 0.4×	30 0.6×	33	400
Ida Signe Bohse Larsen Denmark	11	345 0.9×	82 0.5×	94 1.0×	34 0.6×	14 0.3×	11	405
Fernando J. Irazoqui Argentina	14	363 0.9×	107 0.7×	201 2.1×	13 0.2×	60 1.1×	36	557
San San Yi United States	7	283 0.7×	86 0.5×	82 0.9×	66 1.2×	16 0.3×	9	389
Shawn Lawrence United States	7	355 0.9×	82 0.5×	69 0.7×	26 0.5×	11 0.2×	9	405
Maurice S. Brozzo Switzerland	6	343 0.9×	56 0.4×	83 0.9×	12 0.2×	24 0.5×	7	432
R. Irene Masada United States	5	334 0.8×	203 1.3×	19 0.2×	28 0.5×	15 0.3×	6	399
Naoko Iida‐Tanaka Japan	15	547 1.4×	84 0.5×	68 0.7×	19 0.4×	43 0.8×	37	678
Tsunehiko Fukuda Japan	14	372 0.9×	129 0.8×	74 0.8×	33 0.6×	14 0.3×	36	574

Countries citing papers authored by Michael J. Ferracane

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Ferracane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Ferracane. 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 Michael J. Ferracane. The network helps show where Michael J. Ferracane may publish in the future.

Co-authorship network of co-authors of Michael J. Ferracane

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Ferracane. A scholar is included among the top collaborators of Michael J. Ferracane 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 Michael J. Ferracane. Michael J. Ferracane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Ferracane, Michael J., et al.. (2024). Structure–Activity Relationship Studies of the Peptide Antibiotic Clovibactin. The Journal of Organic Chemistry. 89(17). 12479–12484. 4 indexed citations

Ferracane, Michael J., et al.. (2024). A Bicyclic Analog of the Linear Peptide Arodyn Is a Potent and Selective Kappa Opioid Receptor Antagonist. Molecules. 29(13). 3109–3109. 2 indexed citations

Mahoney, Keira E., Mia A. Rosenfeld, Fiona L. Kearns, et al.. (2023). Glycoproteomic landscape and structural dynamics of TIM family immune checkpoints enabled by mucinase SmE. Nature Communications. 14(1). 6169–6169. 23 indexed citations

Pedram, Kayvon, D. Judy Shon, Gabrielle S. Tender, et al.. (2023). Design of a mucin-selective protease for targeted degradation of cancer-associated mucins. Nature Biotechnology. 42(4). 597–607. 49 indexed citations

Shon, D. Judy, Daniel Fernández, Nicholas M. Riley, Michael J. Ferracane, & Carolyn R. Bertozzi. (2022). Structure-guided mutagenesis of a mucin-selective metalloprotease from Akkermansia muciniphila alters substrate preferences. Journal of Biological Chemistry. 298(5). 101917–101917. 16 indexed citations

Ferracane, Michael J., et al.. (2021). Conformational Constraint between Aromatic Residue Side Chains in the “Message” Sequence of the Peptide Arodyn Using Ring Closing Metathesis Results in a Potent and Selective Kappa Opioid Receptor Antagonist. Journal of Medicinal Chemistry. 64(6). 3153–3164. 9 indexed citations

Shon, D. Judy, et al.. (2021). Classification, structural biology, and applications of mucin domain-targeting proteases. Biochemical Journal. 478(8). 1585–1603. 42 indexed citations

Haurat, M. Florencia, Nichollas E. Scott, Gisela Di Venanzio, et al.. (2020). The Glycoprotease CpaA Secreted by Medically Relevant Acinetobacter Species Targets Multiple O -Linked Host Glycoproteins. mBio. 11(5). 42 indexed citations

Wilson, Lisa, et al.. (2020). Multifunctional opioid receptor agonism and antagonism by a novel macrocyclic tetrapeptide prevents reinstatement of morphine‐seeking behaviour. British Journal of Pharmacology. 177(18). 4209–4222. 27 indexed citations

10.

Ferracane, Michael J., Lisa Wilson, Shainnel O. Eans, et al.. (2020). Design, Synthesis, and Characterization of the Macrocyclic Tetrapeptide cyclo[Pro-Sar-Phe-d-Phe]: A Mixed Opioid Receptor Agonist–Antagonist Following Oral Administration. ACS Chemical Neuroscience. 11(9). 1324–1336. 17 indexed citations

11.

Malaker, Stacy A., Kayvon Pedram, Michael J. Ferracane, et al.. (2019). The mucin-selective protease StcE enables molecular and functional analysis of human cancer-associated mucins. Proceedings of the National Academy of Sciences. 116(15). 7278–7287. 184 indexed citations breakdown →

12.

Malaker, Stacy A. & Michael J. Ferracane. (2019). Mass Spectrometric Identification and Molecular Modeling of Glycopeptides Presented by MHC Class I and II Processing Pathways. Methods in molecular biology. 2024. 269–285. 5 indexed citations

13.

Malaker, Stacy A., Michael J. Ferracane, Florence Depontieu, et al.. (2016). Identification and Characterization of Complex Glycosylated Peptides Presented by the MHC Class II Processing Pathway in Melanoma. Journal of Proteome Research. 16(1). 228–237. 34 indexed citations

14.

Szabó, Lajos, et al.. (2012). Glycosylation of α-amino acids by sugar acetate donors with InBr3. Minimally competent Lewis acids. Carbohydrate Research. 351. 121–125. 29 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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