Serena Pedron

2.2k total citations · 1 hit paper
48 papers, 1.6k citations indexed

About

Serena Pedron is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Serena Pedron has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Pulmonary and Respiratory Medicine and 16 papers in Oncology. Recurrent topics in Serena Pedron's work include Renal cell carcinoma treatment (9 papers), Renal and related cancers (9 papers) and Tuberous Sclerosis Complex Research (6 papers). Serena Pedron is often cited by papers focused on Renal cell carcinoma treatment (9 papers), Renal and related cancers (9 papers) and Tuberous Sclerosis Complex Research (6 papers). Serena Pedron collaborates with scholars based in Italy, United States and Canada. Serena Pedron's co-authors include Marco Chilosi, Licia Montagna, Claudio Doglioni, Maurizio Lestani, Aldo Scarpa, Alberto Zamò, Venerino Poletti, Bruno Murer, Alessandra Cancellieri and P Piccoli and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Serena Pedron

45 papers receiving 1.6k 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.

Aberrant Wnt/β-Catenin Pathway Activation in Idiopathic Pulmonary Fibrosis

2003 575 citations Marco Chilosi, Venerino Poletti et al. American Journal Of Pathology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Serena Pedron Italy	21	805	604	354	233	230	48	1.6k
Sheng Xiao United States	9	794 1.0×	404 0.7×	322 0.9×	199 0.9×	396 1.7×	24	1.8k
Aurelia Meloni‐Ehrig United States	14	860 1.1×	440 0.7×	479 1.4×	325 1.4×	226 1.0×	33	1.4k
Máirín E. McMenamin Ireland	17	710 0.9×	705 1.2×	404 1.1×	571 2.5×	221 1.0×	36	1.9k
Qiu Rao China	23	869 1.1×	857 1.4×	378 1.1×	174 0.7×	288 1.3×	109	1.5k
Hiroshige Nakamura Japan	24	805 1.0×	407 0.7×	539 1.5×	112 0.5×	380 1.7×	166	2.0k
E. Lin United States	21	491 0.6×	971 1.6×	811 2.3×	350 1.5×	331 1.4×	35	2.1k
Ichiro Fukai Japan	25	552 0.7×	724 1.2×	536 1.5×	74 0.3×	294 1.3×	87	1.9k
Yoichi Hachitanda Japan	25	557 0.7×	537 0.9×	723 2.0×	214 0.9×	455 2.0×	54	1.9k
Isidro Machado Spain	27	1.3k 1.6×	646 1.1×	741 2.1×	417 1.8×	214 0.9×	126	2.2k
Jin Hee Sohn South Korea	27	664 0.8×	629 1.0×	816 2.3×	288 1.2×	588 2.6×	103	2.0k

Countries citing papers authored by Serena Pedron

Since Specialization

Citations

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

Fields of papers citing papers by Serena Pedron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Pedron

This figure shows the co-authorship network connecting the top 25 collaborators of Serena Pedron. A scholar is included among the top collaborators of Serena Pedron 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 Serena Pedron. Serena Pedron 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

Zanconato, Giovanni, Andrea Mafficini, Serena Pedron, et al.. (2025). Refining prognostic stratification of atypical meningiomas: significance of chromosome 1p deletion and brain invasion. Acta Neuropathologica Communications. 13(1). 50–50.

Mattiolo, Paola, Andrea Mafficini, Wenzel M. Hackeng, et al.. (2024). Glucagon-Producing Pancreatic Neuroendocrine Tumors (Glucagonomas) are Enriched in Aggressive Neoplasms with ARX and PDX1 Co-expression, DAXX/ATRX Mutations, and ALT (Alternative Lengthening of Telomeres). Endocrine Pathology. 35(4). 354–361. 3 indexed citations

Caliò, Anna, Stefano Marletta, Mimma Rizzo, et al.. (2023). mTOR eosinophilic renal cell carcinoma: a distinctive tumor characterized by mTOR mutation, loss of chromosome 1, cathepsin-K expression, and response to target therapy. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 483(6). 821–833. 4 indexed citations

Marletta, Stefano, Anna Caliò, Giuseppe Bogina, et al.. (2023). STING is a prognostic factor related to tumor necrosis, sarcomatoid dedifferentiation, and distant metastasis in clear cell renal cell carcinoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 483(1). 87–96. 6 indexed citations

Ammendola, Serena, Michele Longhi, Emanuele Zivelonghi, et al.. (2022). The Immunohistochemical Loss of H3K27me3 in Intracranial Meningiomas Predicts Shorter Progression-Free Survival after Stereotactic Radiosurgery. Cancers. 14(7). 1718–1718. 11 indexed citations

Barresi, Valeria, et al.. (2022). pRB immunostaining in the differential diagnosis between pleomorphic xanthoastrocytoma and glioblastoma with giant cells. Histopathology. 81(5). 661–669.

Caliò, Anna, Stefano Marletta, Matteo Brunelli, et al.. (2022). TFE3 and TFEB-rearranged renal cell carcinomas: an immunohistochemical panel to differentiate from common renal cell neoplasms. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 481(6). 877–891. 21 indexed citations

Caliò, Anna, Matteo Brunelli, Stefano Gobbo, et al.. (2021). Stimulator of interferon genes (STING) immunohistochemical expression in the spectrum of perivascular epithelioid cell (PEC) lesions of the kidney. Pathology. 53(5). 579–585. 10 indexed citations

Caliò, Anna, Serena Ammendola, Matteo Brunelli, et al.. (2020). Parvalbumin immunohistochemical expression in the spectrum of perivascular epithelioid cell (PEC) lesions of the kidney. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 478(4). 785–791. 4 indexed citations

10.

Simbolo, Michele, Caterina Vicentini, Andrea Ruzzenente, et al.. (2018). Genetic alterations analysis in prognostic stratified groups identified TP53 and ARID1A as poor clinical performance markers in intrahepatic cholangiocarcinoma. Scientific Reports. 8(1). 7119–7119. 36 indexed citations

11.

Simbolo, Michele, Caterina Vicentini, Andrea Mafficini, et al.. (2018). Mutational and copy number asset of primary sporadic neuroendocrine tumors of the small intestine. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 473(6). 709–717. 37 indexed citations

12.

Caliò, Anna, Matteo Brunelli, Diego Segala, et al.. (2018). VEGFA amplification/increased gene copy number and VEGFA mRNA expression in renal cell carcinoma with TFEB gene alterations. Modern Pathology. 32(2). 258–268. 32 indexed citations

13.

Fiorini, Claudia, Matteo Brunelli, Luca Cima, et al.. (2016). LC3B and ph-S6K are both expressed in epithelioid and classic renal angiomyolipoma: a rationale tissue-based evidence for combining use of autophagic and mTOR targeted drugs. International Journal of Clinical and Experimental Pathology. 9(7). 7020–7029. 1 indexed citations

14.

Caliò, Anna, Alberto Zamò, Maurilio Ponzoni, et al.. (2015). Cellular Senescence Markers p16INK4a and p21CIP1/WAF Are Predictors of Hodgkin Lymphoma Outcome. Clinical Cancer Research. 21(22). 5164–5172. 32 indexed citations

15.

Jokiranta, T. Sakari, Lucia De Franceschi, Oscar Bortolami, et al.. (2015). The Local Complement Activation on Vascular Bed of Patients with Systemic Sclerosis: A Hypothesis-Generating Study. PLoS ONE. 10(2). e0114856–e0114856. 27 indexed citations

16.

Bria, Emilio, Jenny Furlanetto, Luisa Carbognin, et al.. (2014). Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer: Heat Shock Protein 90 Overexpression, Ki67 Proliferative Index, and Topoisomerase II-α Co-amplification as Predictors of Pathologic Complete Response to Neoadjuvant Chemotherapy With Trastuzumab and Docetaxel. Clinical Breast Cancer. 15(1). 16–23. 6 indexed citations

17.

Caliò, Anna, Alessia Nottegar, Eliana Gilioli, et al.. (2014). ALK/EML4 Fusion Gene May Be Found in Pure Squamous Carcinoma of the Lung. Journal of Thoracic Oncology. 9(5). 729–732. 46 indexed citations

18.

Chilosi, Marco, Alberto Zamò, Claudio Doglioni, et al.. (2006). Migratory marker expression in fibroblast foci of idiopathic pulmonary fibrosis. Respiratory Research. 7(1). 95–95. 84 indexed citations

19.

Chilosi, Marco, Venerino Poletti, Alberto Zamò, et al.. (2003). Aberrant Wnt/β-Catenin Pathway Activation in Idiopathic Pulmonary Fibrosis. American Journal Of Pathology. 162(5). 1495–1502. 575 indexed citations breakdown →

20.

Chilosi, Marco, Giorgio Malpeli, Licia Montagna, et al.. (2003). Constitutive expression of ?N-p63? isoform in human thymus and thymic epithelial tumours. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 443(2). 175–183. 40 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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