Diego Maritano

1.0k total citations
9 papers, 772 citations indexed

About

Diego Maritano is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Diego Maritano has authored 9 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Diego Maritano's work include Cytokine Signaling Pathways and Interactions (5 papers), Cancer Mechanisms and Therapy (2 papers) and Immune Response and Inflammation (2 papers). Diego Maritano is often cited by papers focused on Cytokine Signaling Pathways and Interactions (5 papers), Cancer Mechanisms and Therapy (2 papers) and Immune Response and Inflammation (2 papers). Diego Maritano collaborates with scholars based in Italy, United Kingdom and United States. Diego Maritano's co-authors include Valeria Poli, Barbara Gorgoni, Tonino Alonzi, Gabriella Rizzuto, Claude Libert, Roberto Chiarle, Birgit Strobl, Sarah Dewilde, Marco Righi and Tania Pannellini and has published in prestigious journals such as Nature Immunology, The Journal of Immunology and Molecular and Cellular Biology.

In The Last Decade

Diego Maritano

9 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diego Maritano Italy	7	415	297	296	133	86	9	772
Shi We China	4	637 1.5×	368 1.2×	370 1.3×	169 1.3×	97 1.1×	15	888
Tomar Ghansah United States	15	373 0.9×	595 2.0×	402 1.4×	83 0.6×	63 0.7×	23	1.0k
Makoto Ichiba Japan	8	786 1.9×	420 1.4×	504 1.7×	207 1.6×	154 1.8×	11	1.2k
Yulan Qing United States	11	276 0.7×	311 1.0×	289 1.0×	83 0.6×	47 0.5×	17	698
Masayuki Hisada Japan	11	297 0.7×	280 0.9×	124 0.4×	41 0.3×	83 1.0×	31	643
Herwig P. Moll Austria	14	200 0.5×	180 0.6×	323 1.1×	129 1.0×	44 0.5×	32	633
Xuefeng Hua China	9	317 0.8×	317 1.1×	195 0.7×	148 1.1×	29 0.3×	21	691
Junji Yamashita Japan	17	164 0.4×	195 0.7×	473 1.6×	241 1.8×	113 1.3×	40	886
Silvia L. Locatelli Italy	15	146 0.4×	144 0.5×	373 1.3×	101 0.8×	134 1.6×	42	616
H Egami Japan	15	272 0.7×	90 0.3×	309 1.0×	149 1.1×	58 0.7×	27	690

Countries citing papers authored by Diego Maritano

Since Specialization

Citations

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

Fields of papers citing papers by Diego Maritano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Maritano

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

9 of 9 papers shown

1.

Barbieri, Isaia, Sara Pensa, Tania Pannellini, et al.. (2010). Constitutively Active Stat3 Enhances Neu-Mediated Migration and Metastasis in Mammary Tumors via Upregulation of Cten. Cancer Research. 70(6). 2558–2567. 124 indexed citations

2.

Barbieri, Isaia, Elena Quaglino, Diego Maritano, et al.. (2009). Stat3 is required for anchorage‐independent growth and metastasis but not for mammary tumor development downstream of the ErbB‐2 oncogene. Molecular Carcinogenesis. 49(2). 114–120. 27 indexed citations

3.

Ghezzi, Elisa M., et al.. (2008). Anchor-Based Fluorescent Amplicon Generation Assays (FLAG) for Real-Time Measurement of Human Cytomegalovirus, Epstein–Barr Virus, and Varicella-Zoster Virus Viral Loads. Clinical Chemistry. 54(11). 1900–1907. 2 indexed citations

4.

Maritano, Diego, et al.. (2004). The STAT3 isoforms α and β have unique and specific functions. Nature Immunology. 5(4). 401–409. 198 indexed citations

5.

Poli, Valeria & Diego Maritano. (2003). IL-6 Knockout Mice. 213–235. 5 indexed citations

6.

Gorgoni, Barbara, et al.. (2002). C/EBPβ Gene Inactivation Causes Both Impaired and Enhanced Gene Expression and Inverse Regulation of IL-12 p40 and p35 mRNAs in Macrophages. The Journal of Immunology. 168(8). 4055–4062. 99 indexed citations

7.

Alonzi, Tonino, Diego Maritano, Barbara Gorgoni, et al.. (2001). Essential Role of STAT3 in the Control of the Acute-Phase Response as Revealed by Inducible Gene Activation in the Liver. Molecular and Cellular Biology. 21(5). 1621–1632. 258 indexed citations

8.

Maritano, Diego, et al.. (2000). Two mutations affecting conserved residues in the Met receptor operate via different mechanisms. Oncogene. 19(10). 1354–1361. 27 indexed citations

9.

Haškovec, C, Carola Ponzetto, Jaroslav Poläk, et al.. (1998). P230 BCR/ABL protein may be associated with an acute leukaemia phenotype. British Journal of Haematology. 103(4). 1104–1108. 32 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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