Antonio Palmeri

919 total citations
12 papers, 386 citations indexed

About

Antonio Palmeri is a scholar working on Molecular Biology, Spectroscopy and Pharmacology. According to data from OpenAlex, Antonio Palmeri has authored 12 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Pharmacology. Recurrent topics in Antonio Palmeri's work include Bioinformatics and Genomic Networks (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Trypanosoma species research and implications (2 papers). Antonio Palmeri is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Trypanosoma species research and implications (2 papers). Antonio Palmeri collaborates with scholars based in Italy, United States and Denmark. Antonio Palmeri's co-authors include Manuela Helmer‐Citterich, Gabriele Ausiello, Pau Creixell, Luca Parca, Chad J. Miller, Rune Linding, Hua Jane Lou, Benjamin E. Turk, Fabrizio Ferrè and Marco Sciandrone and has published in prestigious journals such as Cell, Bioinformatics and Scientific Reports.

In The Last Decade

Antonio Palmeri

12 papers receiving 381 citations

Peers

Antonio Palmeri

MB

CTM

CR

SPECT

CB

Robert Fragoza United States

Gaurav Mishra India

Catherine Snow United Kingdom

Mileidy W. Gonzalez United States

Changyu Fan United States

Leonard A. Daly United Kingdom

Pemra Özbek Türkiye

Srinath Krishnamurthy Singapore

Arnaud Amzallag United States

Ruobing Ren China

Robert Fragoza United States

Antonio Palmeri

397 ×1.5

MB

50 ×0.9

CTM

32 ×0.7

CR

35 ×0.8

SPECT

39 ×1.0

CB

Citations per year, relative to Antonio Palmeri Antonio Palmeri (= 1×) peers Robert Fragoza

Countries citing papers authored by Antonio Palmeri

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Palmeri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Palmeri. 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 Antonio Palmeri. The network helps show where Antonio Palmeri may publish in the future.

Co-authorship network of co-authors of Antonio Palmeri

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

All Works

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12 of 12 papers shown

1.

Falsaperla, Raffaele, et al.. (2023). Ketogenic Diet in Neonates with Drug-Resistant Epilepsy: Efficacy and Side Effects—A Single Center's Initial Experience. Neuropediatrics. 54(5). 315–321. 2 indexed citations

2.

Parca, Luca, Gerardo Pepe, Marco Pietrosanto, et al.. (2019). Modeling cancer drug response through drug-specific informative genes. Scientific Reports. 9(1). 15222–15222. 117 indexed citations

3.

Creixell, Pau, Jai Prakash Pandey, Antonio Palmeri, et al.. (2018). Hierarchical Organization Endows the Kinase Domain with Regulatory Plasticity. Cell Systems. 7(4). 371–383.e4. 14 indexed citations

4.

Parca, Luca, Bruno Ariano, Andrea Cabibbo, et al.. (2018). Kinome-wide identification of phosphorylation networks in eukaryotic proteomes. Bioinformatics. 35(3). 372–379. 21 indexed citations

5.

Hachem, Maya El, Paola Fortugno, Antonio Palmeri, et al.. (2016). Structural Defects of Laminin β3 N-terminus Underlie Junctional Epidermolysis Bullosa with Altered Granulation Tissue Response. Acta Dermato Venereologica. 96(7). 954–958. 6 indexed citations

6.

Creixell, Pau, Antonio Palmeri, Chad J. Miller, et al.. (2015). Unmasking Determinants of Specificity in the Human Kinome. Cell. 163(1). 187–201. 56 indexed citations

7.

Creixell, Pau, Erwin M. Schoof, Craig D. Simpson, et al.. (2015). Kinome-wide Decoding of Network-Attacking Mutations Rewiring Cancer Signaling. Cell. 163(1). 202–217. 121 indexed citations

8.

Palmeri, Antonio, F. de Ferra, & Manuela Helmer‐Citterich. (2014). Exploiting holistic approaches to model specificity in protein phosphorylation. Frontiers in Genetics. 5. 315–315. 11 indexed citations

9.

Palmeri, Antonio, Gabriele Ausiello, Fabrizio Ferrè, Manuela Helmer‐Citterich, & Pier Federico Gherardini. (2014). A Proteome-wide Domain-centric Perspective on Protein Phosphorylation. Molecular & Cellular Proteomics. 13(9). 2198–2212. 4 indexed citations

10.

Ferra, F. de, Antonio Palmeri, & Manuela Helmer‐Citterich. (2014). Computational methods for analysis and inference of kinase/inhibitor relationships. Frontiers in Genetics. 5. 196–196. 14 indexed citations

11.

Olivier, L, Lisa von Kleist, Pier Federico Gherardini, et al.. (2013). Enrichment of Leishmania donovani ATP-binding proteins using a staurosporine capture compound. Journal of Proteomics. 86. 97–104. 2 indexed citations

12.

Palmeri, Antonio, Pier Federico Gherardini, Gabriele Ausiello, et al.. (2011). PhosTryp: a phosphorylation site predictor specific for parasitic protozoa of the family trypanosomatidae. BMC Genomics. 12(1). 614–614. 18 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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