Massimo Daves

1.0k citations
48 papers · 651 indexed · h-index 15

Impact in

Papers in

    • Clinical Laboratory Practices and Quality Control 20
    • Blood groups and transfusion 4

Massimo Daves

46 papers receiving 625 citations

Peers

Massimo Daves
Comparison fields: 5 of 98
  • Statistics, Probability and Uncertainty 86
  • Genetics 99
  • Hematology 100
  • Physiology 216
  • Family Practice 18
Replace Ilenia Infusino with:
Ilenia Infusino Italy
Joan H. Howanitz United States
William J. Castellani United States
Tae‐Dong Jeong South Korea
Paul Janson Netherlands
Paul G. Catrou United States
An K. Stroobants Netherlands
Naveen Kakkar India
N. K. Shinton United Kingdom
Sonia L. La’ulu United States
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Citations per field
00.5×4.5×
Ilenia Infusino · 1×
Citations per year

Countries citing papers authored by Massimo Daves

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Daves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20232
4 202218
5 20205
6 20202
7 20194
8 20161
9 20165
10 20169
11 20159
12 201433
13 201426
14 201416
15 20137
16 201240
17
Influence of hemolysis on routine laboratory cardiac marker testing.
20126
18 201115
19 200814
20 200786

About Massimo Daves

Massimo Daves is a scholar working on Physiology, Hematology, Medical Laboratory Technology, Statistics, Probability and Uncertainty and Biochemistry, having authored 48 papers that have together received 651 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (20 papers), Systemic Lupus Erythematosus Research (4 papers), Acute Myocardial Infarction Research (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Blood groups and transfusion (4 papers), Blood transfusion and management (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (86 citations), Genetics (99 citations), Hematology (100 citations), Physiology (216 citations) and Family Practice (18 citations). Massimo Daves has collaborated with scholars based in Italy, Ireland and Austria. Frequent co-authors include Giuseppe Lippi, Roberto Cemin, Andrea Piccin, Camilla Mattiuzzi, Gian Luca Salvagno, Stefan Platzgummer, Luca Donazzan, Danilo Villalta, Martina Montagnana and Marco Caputo. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Biochemia Medica, Journal of Clinical Laboratory Analysis, Current Cardiology Reviews and Clinical Biochemistry.

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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2026