Massimo Serra

12.1k citations
203 papers · 10.0k · h-index 59

Impact in

Papers in

Massimo Serra

201 papers receiving 9.7k citations

Peers

Massimo Serra
Comparison fields: 5 of 145
  • Cancer Research 1.9k
  • Pulmonary and Respiratory Medicine 3.4k
  • Oncology 2.4k
  • Molecular Biology 4.2k
  • Rheumatology 836
Replace ANTHONY G. MONTAG with:
ANTHONY G. MONTAG United States
Eiji Ikeda Japan
Reidar A. Grenman Finland
Richard D. Williams United States
Mika Watanabe Japan
Setsuro Komiya Japan
Eiichi Morii Japan
Jonathan Chou United States
RICHARD J. WENSTRUP United States
Jose Ignacio Mayordomo Spain
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Citations per field
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ANTHONY G. MONTAG · 1×
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 203 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011407
2 1995342
3 2005250
4 2012223
5 2004208
6
Insulin-like growth factor I receptor-mediated circuit in Ewing's sarcoma/peripheral neuroectodermal tumor: a possible therapeutic target.
1996200
7 2020191
8 2015184
9 2013176
10
Blockage of insulin-like growth factor-I receptor inhibits the growth of Ewing's sarcoma in athymic mice.
1998166
11 2011164
12 2009148
13 2015142
14 1994135
15 2011130
16 2007125
17
Inhibition of insulin-like growth factor I receptor increases the antitumor activity of doxorubicin and vincristine against Ewing's sarcoma cells.
2001123
18 2005118
19 2009112
20 2008109

About Massimo Serra

Massimo Serra is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Molecular Biology and Rheumatology, having authored 203 papers that have together received 10.0k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (76 papers), Bone Tumor Diagnosis and Treatments (14 papers), Cancer Genomics and Diagnostics (14 papers), Lymphoma Diagnosis and Treatment (13 papers), Drug Transport and Resistance Mechanisms (13 papers), Cancer therapeutics and mechanisms (12 papers), RNA modifications and cancer (11 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers). The work is most often cited by research in Cancer Research (1.9k citations), Pulmonary and Respiratory Medicine (3.4k citations), Oncology (2.4k citations), Molecular Biology (4.2k citations) and Rheumatology (836 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 Maria Ferrari and Anne‐Marie Cleton-Jansen. Their work appears in journals such as International Journal of Oncology, Genes Chromosomes and Cancer, 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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