Serena Marchiò

2.8k citations
45 papers · 1.9k indexed · h-index 25

Impact in

Papers in

Serena Marchiò

44 papers receiving 1.8k citations

Peers

Serena Marchiò
Comparison fields: 5 of 111
  • Cancer Research 273
  • Oncology 494
  • Molecular Biology 990
  • Biomaterials 178
  • Immunology 285
Replace J. Michael Elliott with:
J. Michael Elliott United States
Lou F. M. H. de Leij Netherlands
Giovanni Esposito Italy
Jonathan B. Fitzgerald United States
Nina M. Muñoz United States
Alfredo A. Molinolo United States
Marijke Stigter‐van Walsum Netherlands
Danilo Marimpietri Italy
Emmet McCormack Norway
Yingnan Zhang China
Serena Marchiò relative to J. Michael Elliott United States J. Michael Elliott's profile →
Citations per field
00.5×1.6×
J. Michael Elliott · 1×
Citations per year

Countries citing papers authored by Serena Marchiò

Since Specialization
Citations

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

Fields of papers citing papers by Serena Marchiò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Serena Marchiò, 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 Serena Marchiò Line = papers co-authored together Serena Marchiò links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20228
4 20193
5 201836
6 201739
7 20177
8 201723
9 201651
10 2016152
11 201619
12 201518
13 20147
14 201391
15 20139
16 201213
17 201239
18 20077
19 200537
20 2004114

About Serena Marchiò

Serena Marchiò is a scholar working on Cancer Research, Oncology, Immunology and Allergy, Biotechnology and Virology, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Peptidase Inhibition and Analysis (4 papers), Cancer Research and Treatments (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Lymphatic System and Diseases (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). The work is most often cited by research in Cancer Research (273 citations), Oncology (494 citations), Molecular Biology (990 citations), Biomaterials (178 citations) and Immunology (285 citations). Serena Marchiò has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Federico Bussolino, Renata Pasqualini, Wadih Arap, Richard L. Sidman, Valentina Foglizzo, Adriana Albini, Elena Cartocci, Salvatore Oliviero, Marina Ziche and Lucia Morbidelli. Their work appears in journals such as Cancers, Proceedings of the National Academy of Sciences, Clinical Cancer Research, EMBO Molecular Medicine and Molecules.

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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