Massimo de Cal

4.5k citations
136 papers · 3.2k · h-index 29

Impact in

Papers in

    • Acute Kidney Injury Research 43
    • Dialysis and Renal Disease Management 28
    • Chronic Kidney Disease and Diabetes 8
    • Sepsis Diagnosis and Treatment 12

Massimo de Cal

133 papers receiving 3.1k citations

Peers

Massimo de Cal
Comparison fields: 5 of 125
  • Nephrology 1.5k
  • Critical Care and Intensive Care Medicine 293
  • Emergency Medicine 137
  • Cardiology and Cardiovascular Medicine 332
  • Epidemiology 437
Replace Sara Samoni with:
Sara Samoni Italy
Paweena Susantitaphong Thailand
Claus G. Krenn Austria
Madeleine V. Pahl United States
Helmut Schiffl Germany
Grazia Maria Virzì Italy
Rajit K. Basu United States
Carsten Hafer Germany
Neil Boyce Australia
Federico Nalesso Italy
Massimo de Cal relative to Sara Samoni Italy Sara Samoni's profile →
Citations per field
00.5×5×10×14.3×
Sara Samoni · 1×
Citations per year

Countries citing papers authored by Massimo de Cal

Since Specialization
Citations

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

Fields of papers citing papers by Massimo de Cal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007273
2 2009268
3 2007198
4 2009186
5 200684
6 201880
7 201478
8 200566
9 201561
10 201559
11 202253
12 201649
13 201244
14 200443
15 201043
16 201041
17 201238
18 201138
19 200838
20 201837

About Massimo de Cal

Massimo de Cal is a scholar working on Nephrology, Epidemiology, Surgery, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 136 papers that have together received 3.2k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (43 papers), Dialysis and Renal Disease Management (28 papers), Sepsis Diagnosis and Treatment (12 papers), Mechanical Circulatory Support Devices (11 papers), Heart Failure Treatment and Management (9 papers), Chronic Kidney Disease and Diabetes (8 papers), Muscle and Compartmental Disorders (8 papers) and Erythropoietin and Anemia Treatment (6 papers). The work is most often cited by research in Nephrology (1.5k citations), Critical Care and Intensive Care Medicine (293 citations), Emergency Medicine (137 citations), Cardiology and Cardiovascular Medicine (332 citations) and Epidemiology (437 citations). Massimo de Cal has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Claudio Ronco, Dinna N. Cruz, Grazia Maria Virzì, Valentina Corradi, Paolo Lentini, Federico Nalesso, Mark A. Perazella, Pasquale Piccinni, Anna Clementi and Alessandra Brocca. Their work appears in journals such as Blood Purification, Cardiorenal Medicine, Journal of Nephrology, Peritoneal Dialysis International and Critical Care.

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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