Michael Icardi

20 papers receiving 784 citations

Peers

Michael Icardi
Comparison fields: 5 of 78
  • Hepatology 130
  • Cancer Research 219
  • Pharmacology 79
  • Epidemiology 169
  • Immunology 91
Replace Yakup Kulu with:
Yakup Kulu Germany
Olivier Romano France
Carl Guévin Canada
Arlène K. van Vliet Netherlands
R. M. Goldberg United States
Hisashi Shiga Japan
Tomer Adar Israel
Melisa Dirchwolf Argentina
Anne Durnez Belgium
E. Dybkjær Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Michael Icardi

Since Specialization
Citations

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

Fields of papers citing papers by Michael Icardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010184
2 2011129
3 2019104
4 200980
5 200470
6 201359
7 201155
8 201335
9 200219
10 201613
11 200212
12 20039
13 20195
14 20175
15 20194
16 20174
17 20212
18 20021
19
The Challenges of Precision Medicine and New Advances in Molecular Diagnostic Testing in Hematolymphoid Malignancies: Impact on the VHA.
20171
20 20031

About Michael Icardi

Michael Icardi is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 792 indexed citations. Recurring topics across this work include Polyomavirus and related diseases (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), SARS-CoV-2 detection and testing (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Clinical Nutrition and Gastroenterology (2 papers), Alcohol Consumption and Health Effects (1 paper) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Hepatology (130 citations), Cancer Research (219 citations), Pharmacology (79 citations), Epidemiology (169 citations) and Immunology (91 citations). Michael Icardi has collaborated with scholars based in United States and Australia. Frequent co-authors include Warren N. Schmidt, Sarmistha Bandyopadhyay, Rebecca T. Marquez, Kathy Keck, Anton P. McCaffrey, Erik Wendlandt, Randolph N. Christensen, Kyle E. Brown, Barbara Stewart and Laila Dahmoush. Their work appears in journals such as The Journal of Infectious Diseases, Clinical Rheumatology, Clinical Breast Cancer, Journal of Clinical Microbiology and Archives of Pathology & Laboratory Medicine.

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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