Marco Cereda

422 citations
12 papers · 320 · h-index 8

Impact in

Papers in

Marco Cereda

12 papers receiving 312 citations

Peers

Marco Cereda
Comparison fields: 5 of 66
  • Internal Medicine 20
  • Cardiology and Cardiovascular Medicine 126
  • Parasitology 21
  • Pharmacology 20
  • Biomedical Engineering 94
Replace M Bianchessi with:
M Bianchessi Italy
Satomi Fujiwara Japan
Cristina Cismaru Romania
Jamal Eddine Bourkadi Morocco
Mary E. Bradley United States
Steven F. Komjathy United States
Rafael Castillo Spain
Mahmoud Traina United States
Ziyue Wang China
Masahiro Yamamoto Japan
Marco Cereda relative to M Bianchessi Italy M Bianchessi's profile →
Citations per field
00.5×1.6×
M Bianchessi · 1×
Citations per year

Countries citing papers authored by Marco Cereda

Since Specialization
Citations

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

Fields of papers citing papers by Marco Cereda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2018149
2 201860
3 202224
4 201522
5 201918
6 201818
7 202310
8 201910
9 20085
10 20112
11 20241
12 20161

About Marco Cereda

Marco Cereda is a scholar working on Biomedical Engineering, Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 12 papers that have together received 320 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), SARS-CoV-2 detection and testing (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Molecular Biology Techniques and Applications (2 papers), Parasites and Host Interactions (1 paper), Trypanosoma species research and implications (1 paper) and Toxoplasma gondii Research Studies (1 paper). The work is most often cited by research in Internal Medicine (20 citations), Cardiology and Cardiovascular Medicine (126 citations), Parasitology (21 citations), Pharmacology (20 citations) and Biomedical Engineering (94 citations). Marco Cereda has collaborated with scholars based in Italy, Brazil and Czechia. Frequent co-authors include M Bianchessi, Diego Ardissino, Antonio Crocamo, Francesca M. Notarangelo, Maria Serena Chiriacò, Filippo Pigazzani, Francesco Ferrara, Piera Angelica Merlini, Caterina Caminiti and Guidantonio Malagoli Tagliazucchi. Their work appears in journals such as Clinica Chimica Acta, Sensors, Journal of Clinical Microbiology, Journal of the American College of Cardiology and Surface and Interface Analysis.

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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