Massimo Serra

11.9k citations
189 papers · 8.6k · h-index 55

Impact in

Papers in

Massimo Serra

187 papers receiving 8.4k citations

Peers

Massimo Serra
Comparison fields: 5 of 140
  • Cancer Research 1.7k
  • Pulmonary and Respiratory Medicine 2.8k
  • Oncology 2.1k
  • Molecular Biology 3.7k
  • Rheumatology 691
Replace David R. Rowley with:
David R. Rowley United States
Eiji Ikeda Japan
Richard D. Williams United States
Reidar Grénman Finland
Setsuro Komiya Japan
Kazuki Nabeshima Japan
Mika Watanabe Japan
William P. Schiemann United States
Richard Wenstrup United States
Keith L. March United States
Massimo Serra relative to David R. Rowley United States David R. Rowley's profile →
Citations per field
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Citations per year

Countries citing papers authored by Massimo Serra

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Serra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Serra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Serra Line = papers co-authored together Massimo Serra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 189 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011383
2 1995319
3 2005232
4 2012220
5 2004201
6
Insulin-like growth factor I receptor-mediated circuit in Ewing's sarcoma/peripheral neuroectodermal tumor: a possible therapeutic target.
1996192
7 2015179
8
Blockage of insulin-like growth factor-I receptor inhibits the growth of Ewing's sarcoma in athymic mice.
1998162
9 2011159
10 2009143
11 2011125
12 1994117
13 2007116
14
Inhibition of insulin-like growth factor I receptor increases the antitumor activity of doxorubicin and vincristine against Ewing's sarcoma cells.
2001114
15 2005109
16 2008107
17 2009103
18 2000100
19 200294
20 200490

About Massimo Serra

Massimo Serra is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Rheumatology, having authored 189 papers that have together received 8.6k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (70 papers), Cancer Genomics and Diagnostics (14 papers), Bone Tumor Diagnosis and Treatments (13 papers), Drug Transport and Resistance Mechanisms (12 papers), Cancer therapeutics and mechanisms (12 papers), Lymphoma Diagnosis and Treatment (11 papers), Cell Adhesion Molecules Research (10 papers) and RNA modifications and cancer (10 papers). The work is most often cited by research in Cancer Research (1.7k citations), Pulmonary and Respiratory Medicine (2.8k citations), Oncology (2.1k citations), Molecular Biology (3.7k citations) and Rheumatology (691 citations). Massimo Serra has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Piero Picci, Katia Scotlandi, Maria Cristina Manara, Claudia Maria Hattinger, Nicola Baldini, Stefania Benini, Pier‐Luigi Lollini, Daniela Maurici, Stefano Ferrari and Pancras C.W. Hogendoorn. Their work appears in journals such as Genes Chromosomes and Cancer, International Journal of Oncology, International Journal of Cancer, International Journal of Molecular Sciences and Annals of Oncology.

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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