Ezio Gerdoni

2.3k total citations · 1 hit paper
8 papers, 1.8k citations indexed

About

Ezio Gerdoni is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Genetics. According to data from OpenAlex, Ezio Gerdoni has authored 8 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Ezio Gerdoni's work include Mesenchymal stem cell research (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Ezio Gerdoni is often cited by papers focused on Mesenchymal stem cell research (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Ezio Gerdoni collaborates with scholars based in Italy and United States. Ezio Gerdoni's co-authors include Antonio Uccelli, Gianluigi Mancardi, Francesco Frassoni, Enrico Pedemonte, Simona Casazza, Ivan Bonanni, Federica Benvenuto, Antonella Ceravolo, Emanuela Zappia and Debora Giunti and has published in prestigious journals such as Blood, Annals of Neurology and Stem Cells.

In The Last Decade

Ezio Gerdoni

8 papers receiving 1.8k 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.

Mesenchymal stem cells ameliorate experimental autoimmune encephalomyelitis inducing T-cell anergy

2005 1.1k citations Emanuela Zappia, Simona Casazza et al. Blood profile →

Peers

Ezio Gerdoni

GENET

MB

SURGE

DN

IMMUN

Ivan Bonanni Italy

Emanuela Zappia Italy

Yoon Sun Yang South Korea

Simona Casazza Italy

Ibrahim Kassis Israel

Dina Gaupp United States

Philippe Tropel France

Patrizia Bossolasco Italy

Timothy R. Brazelton United States

Seong Muk Kim South Korea

Ivan Bonanni Italy

Ezio Gerdoni

1.2k ×0.9

GENET

417 ×0.8

MB

405 ×0.9

SURGE

324 ×0.9

DN

244 ×0.8

IMMUN

Citations per year, relative to Ezio Gerdoni Ezio Gerdoni (= 1×) peers Ivan Bonanni

Countries citing papers authored by Ezio Gerdoni

Since Specialization

Citations

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

Fields of papers citing papers by Ezio Gerdoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ezio Gerdoni

This figure shows the co-authorship network connecting the top 25 collaborators of Ezio Gerdoni. A scholar is included among the top collaborators of Ezio Gerdoni 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 Ezio Gerdoni. Ezio Gerdoni 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:

8 of 8 papers shown

1.

Demori, Ilaria, Bruno Burlando, Ezio Gerdoni, et al.. (2008). Uncoupling protein‐2 induction in rat hepatocytes after acute carbon tetrachloride liver injury. Journal of Cellular Physiology. 216(2). 413–418. 7 indexed citations

2.

Gerdoni, Ezio, Barbara Gallo, Simona Casazza, et al.. (2007). Mesenchymal stem cells effectively modulate pathogenic immune response in experimental autoimmune encephalomyelitis. Annals of Neurology. 61(3). 219–227. 376 indexed citations

3.

Benvenuto, Federica, Stefania Ferrari, Ezio Gerdoni, et al.. (2007). Human Mesenchymal Stem Cells Promote Survival of T Cells in a Quiescent State. Stem Cells. 25(7). 1753–1760. 194 indexed citations

4.

Ambrogini, Patrizia, Riccardo Cuppini, Paola Ferri, et al.. (2005). Thyroid Hormones Affect Neurogenesis in the Dentate Gyrus of Adult Rat. Neuroendocrinology. 81(4). 244–253. 116 indexed citations

5.

Albano, C., Andrea Cappelli, E Favale, et al.. (2005). Is the Platelet Serotonin Transporter Different in Venous vs. Arterial Blood?. Neurochemical Research. 30(11). 1365–1367. 1 indexed citations

6.

Zappia, Emanuela, Simona Casazza, Enrico Pedemonte, et al.. (2005). Mesenchymal stem cells ameliorate experimental autoimmune encephalomyelitis inducing T-cell anergy. Blood. 106(5). 1755–1761. 1128 indexed citations breakdown →

7.

Demori, Ilaria, Ezio Gerdoni, E Fugassa, & Adriana Voci. (2004). 3,5-diiodothyronine Mimics the Effect of Triiodothyronine on Insulin-like Growth Factor Binding Protein-4 Expression in Cultured Rat Hepatocytes. Hormone and Metabolic Research. 36(10). 679–685. 7 indexed citations

8.

Demori, Ilaria, et al.. (2004). Retinoic Acid Increases Insulin-like Growth Factor-binding Protein-4 Expression in Cultured Rat Hepatocytes. Hormone and Metabolic Research. 36(1). 7–13. 3 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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