Cosimo Ottomano

1.4k citations
65 papers · 1.1k · h-index 18

Impact in

Papers in

    • Clinical Laboratory Practices and Quality Control 22
    • Sepsis Diagnosis and Treatment 4
    • Liver Disease Diagnosis and Treatment 3

Cosimo Ottomano

64 papers receiving 996 citations

Peers

Cosimo Ottomano
Comparison fields: 5 of 96
  • Genetics 192
  • Family Practice 25
  • Hematology 128
  • Physiology 267
  • Transplantation 25
Replace Massimo Daves with:
Massimo Daves Italy
Éva Ajzner Hungary
Francesca Tosato Italy
Rossana Fontana Italy
Alexander C. Haushofer Austria
John A. Koepke United States
Elizabeth M. Love United Kingdom
Jan van Wijngaarden Netherlands
Roger S. Riley United States
Maria Grazia Alessio Italy
Cosimo Ottomano relative to Massimo Daves Italy Massimo Daves's profile →
Citations per field
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Massimo Daves · 1×
Citations per year

Countries citing papers authored by Cosimo Ottomano

Since Specialization
Citations

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

Fields of papers citing papers by Cosimo Ottomano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010158
2 200684
3 201156
4 202051
5 201646
6 201740
7 201233
8 201631
9 201527
10 201727
11 200725
12 201723
13 200722
14 201222
15 200321
16 201619
17 201018
18 200618
19 201717
20 201816

About Cosimo Ottomano

Cosimo Ottomano is a scholar working on Physiology, Epidemiology, Endocrinology, Diabetes and Metabolism, Infectious Diseases and Surgery, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (22 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Hemodynamic Monitoring and Therapy (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers), Sepsis Diagnosis and Treatment (4 papers), Lipoproteins and Cardiovascular Health (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Genetics (192 citations), Family Practice (25 citations), Hematology (128 citations), Physiology (267 citations) and Transplantation (25 citations). Cosimo Ottomano has collaborated with scholars based in Italy, Czechia and Netherlands. Frequent co-authors include Giuseppe Lippi, Sabrina Buoro, Michela Seghezzi, Barbara Manenti, Ferruccio Ceriotti, Mario Plebani, Tommaso Mecca, Gianni Messeri, Pierangelo Bonini and Guido Finazzi. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, Clinical Biochemistry, Journal of Clinical Laboratory Analysis and Journal of Clinical Pathology.

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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