Ramon Saccilotto

2.3k total citations
17 papers, 310 citations indexed

About

Ramon Saccilotto is a scholar working on Applied Microbiology and Biotechnology, General Health Professions and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Ramon Saccilotto has authored 17 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Applied Microbiology and Biotechnology, 5 papers in General Health Professions and 4 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Ramon Saccilotto's work include Antibiotic Use and Resistance (6 papers), Patient Satisfaction in Healthcare (5 papers) and Healthcare Systems and Technology (4 papers). Ramon Saccilotto is often cited by papers focused on Antibiotic Use and Resistance (6 papers), Patient Satisfaction in Healthcare (5 papers) and Healthcare Systems and Technology (4 papers). Ramon Saccilotto collaborates with scholars based in Switzerland, United Kingdom and Chile. Ramon Saccilotto's co-authors include Lars G. Hemkens, Heiner C. Bucher, Andreas F. Widmer, Matthias Briel, Stefan Schandelmaier, Andreas Zeller, Alain Nordmann, Kelechi Kalu Olu, Dominik Glinz and Michael Koller and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Transplantation and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Ramon Saccilotto

17 papers receiving 300 citations

Peers

Ramon Saccilotto
Comparison fields: 5 of 91
  • Surgery 101
  • Applied Microbiology and Biotechnology 93
  • General Health Professions 74
  • Cardiology and Cardiovascular Medicine 63
  • Epidemiology 46
Replace Ryan P. Hickson with:
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Citations per field, relative to Ramon Saccilotto
Ramon Saccilotto · 1×
Citations per year, relative to Ramon Saccilotto
Ramon Saccilotto · 1×

Countries citing papers authored by Ramon Saccilotto

Since Specialization
Citations

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

Fields of papers citing papers by Ramon Saccilotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramon Saccilotto

This figure shows the co-authorship network connecting the top 25 collaborators of Ramon Saccilotto. A scholar is included among the top collaborators of Ramon Saccilotto 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 Ramon Saccilotto. Ramon Saccilotto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 1
2 12
3 3
4 8
5 4
6 9
7 2
8 2
9 1
10 8
11 83
12 26
13 12
14 67
15 1
16 44
17 27

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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