Claudia Pazzagli

431 total citations
8 papers, 375 citations indexed

About

Claudia Pazzagli is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Claudia Pazzagli has authored 8 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Claudia Pazzagli's work include Protein Tyrosine Phosphatases (5 papers), Ubiquitin and proteasome pathways (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Claudia Pazzagli is often cited by papers focused on Protein Tyrosine Phosphatases (5 papers), Ubiquitin and proteasome pathways (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Claudia Pazzagli collaborates with scholars based in United States, Italy and Switzerland. Claudia Pazzagli's co-authors include Andreas H. Zisch, Elena B. Pasquale, Vincent Dodelet, Craig A. Hauser, M. Schneller, Erkki Ruoslahti, Andrea Berti, Jeffrey W. Smith, Giovanni Raugei and Giampietro Ramponi and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and FEBS Letters.

In The Last Decade

Claudia Pazzagli

8 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Claudia Pazzagli United States	6	284	136	101	61	34	8	375
Valeria Rohrbach Switzerland	10	318 1.1×	178 1.3×	87 0.9×	91 1.5×	168 4.9×	11	526
Daniel P. Zelinski United States	5	312 1.1×	319 2.3×	186 1.8×	36 0.6×	128 3.8×	5	483
Jianning Mao Canada	10	235 0.8×	53 0.4×	85 0.8×	143 2.3×	57 1.7×	16	439
Tanya Freywald Canada	11	182 0.6×	113 0.8×	70 0.7×	19 0.3×	39 1.1×	13	253
Xuefeng Jing Japan	12	183 0.6×	149 1.1×	68 0.7×	14 0.2×	81 2.4×	22	383
An Rykx Belgium	7	400 1.4×	52 0.4×	117 1.2×	50 0.8×	75 2.2×	8	523
Hideki Kataoka Japan	10	404 1.4×	326 2.4×	169 1.7×	31 0.5×	126 3.7×	19	581
Jutong Si United States	13	413 1.5×	121 0.9×	106 1.0×	65 1.1×	103 3.0×	15	536
C M Ben-Avram United States	9	163 0.6×	150 1.1×	31 0.3×	67 1.1×	78 2.3×	10	369
Terry A. Woodford United States	7	351 1.2×	53 0.4×	54 0.5×	73 1.2×	62 1.8×	8	451

Countries citing papers authored by Claudia Pazzagli

Since Specialization

Citations

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

Fields of papers citing papers by Claudia Pazzagli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Pazzagli

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

All Works

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8 of 8 papers shown

Zisch, Andreas H., Claudia Pazzagli, Andrew L. Freeman, et al.. (2000). Replacing two conserved tyrosines of the EphB2 receptor with glutamic acid prevents binding of SH2 domains without abrogating kinase activity and biological responses. Oncogene. 19(2). 177–187. 106 indexed citations

Dodelet, Vincent, Claudia Pazzagli, Andreas H. Zisch, Craig A. Hauser, & Elena B. Pasquale. (1999). A Novel Signaling Intermediate, SHEP1, Directly Couples Eph Receptors to R-Ras and Rap1A. Journal of Biological Chemistry. 274(45). 31941–31946. 92 indexed citations

Knudsen, Erik S., Claudia Pazzagli, Teresa L. Born, et al.. (1998). Elevated cyclins and cyclin-dependent kinase activity in the rhabdomyosarcoma cell line RD.. PubMed. 58(9). 2042–9. 45 indexed citations

Santucci, Maria Alessandra, Joel S. Greenberger, Jacalyn H. Pierce, et al.. (1996). Overexpression of a synthetic phosphotyrosine protein phosphatase gene increases radiosensitivity in vitro of normal and transformed murine NIH/3T3 fibroblasts. Radiation Oncology Investigations. 4(1). 1–8. 1 indexed citations

Pazzagli, Claudia & Jesús Ávila. (1994). Purification of brain microtubule-associated protein MAP1A. Neurochemical Research. 19(9). 1195–1198. 1 indexed citations

Ruggiero, Marco, Claudia Pazzagli, Stefania Rigacci, et al.. (1993). Negative growth control by a novel low M_r phosphotyrosine protein phosphatase in normal and transformed cells. FEBS Letters. 326(1-3). 294–298. 43 indexed citations

Chiarugi, Paola, Riccardo Marzocchini, Giovanni Raugei, et al.. (1992). Differential role of four cysteines on the activity of a low M_r phosphotyrosine protein phosphatase. FEBS Letters. 310(1). 9–12. 29 indexed citations

Ramponi, Giampietro, Marco Ruggiero, Giovanni Raugei, et al.. (1992). Overexpression of a synthetic phosphotyrosine protein phosphatase gene inhibits normal and transformed cell growth. International Journal of Cancer. 51(4). 652–656. 58 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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