Mario Bonomini

4.3k total citations
147 papers, 2.9k citations indexed

About

Mario Bonomini is a scholar working on Nephrology, Hematology and Surgery. According to data from OpenAlex, Mario Bonomini has authored 147 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Nephrology, 31 papers in Hematology and 25 papers in Surgery. Recurrent topics in Mario Bonomini's work include Dialysis and Renal Disease Management (51 papers), Erythrocyte Function and Pathophysiology (14 papers) and Pharmacological Effects and Toxicity Studies (14 papers). Mario Bonomini is often cited by papers focused on Dialysis and Renal Disease Management (51 papers), Erythrocyte Function and Pathophysiology (14 papers) and Pharmacological Effects and Toxicity Studies (14 papers). Mario Bonomini collaborates with scholars based in Italy, United Kingdom and United States. Mario Bonomini's co-authors include Vittorio Sirolli, Arduino Arduini, Luigi Amoroso, Lorenzo Di Liberato, A Albertazzi, Victor A. Zammit, N. Settefrati, Stefano Stuard, Assunta Pandolfi and Secondo Dottori and has published in prestigious journals such as PLoS ONE, Advanced Drug Delivery Reviews and Scientific Reports.

In The Last Decade

Mario Bonomini

137 papers receiving 2.8k citations

Peers

Mario Bonomini
Comparison fields: 5 of 135
  • Nephrology 1.1k
  • Physiology 571
  • Surgery 543
  • Molecular Biology 493
  • Hematology 480
Replace Gerald Cohen with:
Gerald Cohen Austria
Vincenzo Panichi Italy
Eva Schepers Belgium
Mohamed E. Suliman Sweden
Rita De Smet Belgium
Claire Cérini France
Michał Myśliwiec Poland
Isabella Fermo Italy
Fellype Carvalho Barreto Brazil
Pedro Aljama Spain
Gerald Cohen Austria View profile →
Citations per field, relative to Mario Bonomini
Mario Bonomini · 1×
Citations per year, relative to Mario Bonomini
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Countries citing papers authored by Mario Bonomini

Since Specialization
Citations

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

Fields of papers citing papers by Mario Bonomini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Bonomini

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Bonomini. A scholar is included among the top collaborators of Mario Bonomini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Bonomini. Mario Bonomini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 12
2 3
3 0
4 2
5 6
6 5
7 58
8 15
9 15
10 17
11 18
12 34
13 17
14 34
15 11
16 19
17 22
18 48
19 2
20 6

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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