Maria A. Cueto

1.0k total citations · 1 hit paper
8 papers, 815 citations indexed

About

Maria A. Cueto is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maria A. Cueto has authored 8 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maria A. Cueto's work include Peptidase Inhibition and Analysis (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Neuropeptides and Animal Physiology (2 papers). Maria A. Cueto is often cited by papers focused on Peptidase Inhibition and Analysis (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Neuropeptides and Animal Physiology (2 papers). Maria A. Cueto collaborates with scholars based in United States, Switzerland and United Kingdom. Maria A. Cueto's co-authors include Lin Gao, Folkert W. Asselbergs, Peter Atadja, Benoı̂t Pierrat, Jutta Heim, Marjo Simonen, Paul Ko Ferrigno, Jürgen Mestan, Hong Xu and Dalia Cohen and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Archives of Biochemistry and Biophysics.

In The Last Decade

Maria A. Cueto

8 papers receiving 793 citations

Hit Papers

Cloning and Functional Characterization of HDAC11, a Nove... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria A. Cueto United States 7 712 168 65 63 62 8 815
Xuejia Yang China 7 764 1.1× 152 0.9× 40 0.6× 39 0.6× 57 0.9× 10 859
Sandrine Curtet France 12 1.5k 2.0× 268 1.6× 50 0.8× 68 1.1× 65 1.0× 14 1.6k
Jayasha Shandilya India 17 658 0.9× 139 0.8× 33 0.5× 40 0.6× 61 1.0× 27 814
Evangelia Koutelou United States 14 665 0.9× 103 0.6× 36 0.6× 50 0.8× 63 1.0× 16 767
Richard Sobel United States 10 1.1k 1.6× 166 1.0× 32 0.5× 42 0.7× 117 1.9× 13 1.4k
Ha Eun Kong United States 7 728 1.0× 65 0.4× 144 2.2× 44 0.7× 59 1.0× 15 833
Birgitta Tomkinson Sweden 15 536 0.8× 441 2.6× 63 1.0× 48 0.8× 61 1.0× 35 682
Jae Ryoung Hwang South Korea 16 686 1.0× 95 0.6× 69 1.1× 110 1.7× 104 1.7× 33 975
Sara Kantrow United States 12 646 0.9× 248 1.5× 169 2.6× 54 0.9× 95 1.5× 25 915
Mani Ravichandran Canada 8 488 0.7× 140 0.8× 31 0.5× 88 1.4× 56 0.9× 8 670

Countries citing papers authored by Maria A. Cueto

Since Specialization
Citations

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

Fields of papers citing papers by Maria A. Cueto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria A. Cueto. 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 Maria A. Cueto. The network helps show where Maria A. Cueto may publish in the future.

Co-authorship network of co-authors of Maria A. Cueto

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

All Works

8 of 8 papers shown
1.
Milewski, Mikolaj, et al.. (2024). Predicting Human Subcutaneous Bioavailability of Therapeutic Monoclonal Antibodies from Systemic Clearance and Volume of Distribution. Molecular Pharmaceutics. 21(10). 4947–4959. 1 indexed citations
2.
Donovan, Maureen D., et al.. (2018). Overview of intranasally delivered peptides: key considerations for pharmaceutical development. Expert Opinion on Drug Delivery. 15(10). 991–1005. 24 indexed citations
3.
Leszczyniecka, Magdalena, Umesh Bhatia, Maria A. Cueto, et al.. (2006). MAP1D, a novel methionine aminopeptidase family member is overexpressed in colon cancer. Oncogene. 25(24). 3471–3478. 24 indexed citations
4.
Gao, Lin, Maria A. Cueto, Folkert W. Asselbergs, & Peter Atadja. (2002). Cloning and Functional Characterization of HDAC11, a Novel Member of the Human Histone Deacetylase Family. Journal of Biological Chemistry. 277(28). 25748–25755. 552 indexed citations breakdown →
5.
Pierrat, Benoı̂t, Marjo Simonen, Maria A. Cueto, et al.. (2001). SH3GLB, a New Endophilin-Related Protein Family Featuring an SH3 Domain. Genomics. 71(2). 222–234. 92 indexed citations
6.
Hou, Xiaohong, et al.. (2000). The Human T-Cell Leukemia Virus Type I (HTLV-I) X Region Encoded Protein p13II Interacts with Cellular Proteins. Virology. 277(1). 127–135. 14 indexed citations
7.
Cai, Richard, Yan Yan‐Neale, Maria A. Cueto, Hong Xu, & Dalia Cohen. (2000). HDAC1, a Histone Deacetylase, Forms a Complex with Hus1 and Rad9, Two G2/M Checkpoint Rad Proteins. Journal of Biological Chemistry. 275(36). 27909–27916. 60 indexed citations
8.
Rokosz, Laura L., et al.. (1994). Human Cytoplasmic 3-Hydroxy-3-methylglutaryl Coenzyme A Synthase: Expression, Purification, and Characterization of Recombinant Wild-Type and Cys129 Mutant Enzymes. Archives of Biochemistry and Biophysics. 312(1). 1–13. 48 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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