Barbara Roda

83 papers receiving 2.0k citations

Peers

Barbara Roda
Comparison fields: 5 of 119
  • Physical and Theoretical Chemistry 406
  • Computational Mechanics 778
  • Biomedical Engineering 657
  • Filtration and Separation 29
  • Molecular Biology 697
Replace Andrea Zattoni with:
Andrea Zattoni Italy
Dukjin Kang South Korea
Wen‐Yih Chen Taiwan
Jörg Thömmes Germany
Laurent Leclercq France
Chen Mao United States
Markus Ehrat Switzerland
B. N. Preston Australia
Todd M. Przybycien United States
Yukihiro Okamoto Japan
Barbara Roda relative to Andrea Zattoni Italy Andrea Zattoni's profile →
Citations per field
00.5×1.6×
Andrea Zattoni · 1×
Citations per year

Countries citing papers authored by Barbara Roda

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Roda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015191
2 2009148
3 2005143
4 201298
5 201687
6 201382
7 202376
8 200470
9 200359
10 200256
11 200455
12 201146
13 201439
14 200937
15 202135
16 200234
17 200931
18 202031
19 202030
20 200928

About Barbara Roda

Barbara Roda is a scholar working on Computational Mechanics, Molecular Biology, Physical and Theoretical Chemistry, Biomedical Engineering and Mechanical Engineering, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Field-Flow Fractionation Techniques (48 papers), thermodynamics and calorimetric analyses (23 papers), Advanced Thermodynamic Systems and Engines (9 papers), Mesenchymal stem cell research (8 papers), Biosensors and Analytical Detection (6 papers), 3D Printing in Biomedical Research (6 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Extracellular vesicles in disease (5 papers). The work is most often cited by research in Physical and Theoretical Chemistry (406 citations), Computational Mechanics (778 citations), Biomedical Engineering (657 citations), Filtration and Separation (29 citations) and Molecular Biology (697 citations). Barbara Roda has collaborated with scholars based in Italy, South Korea and United States. Frequent co-authors include Pierluigi Reschiglian, Andrea Zattoni, Aldo Roda, Valentina Marassi, Elisa Michelini, Mara Mirasoli, Myeong Hee Moon, Stefano Giordani, Luca Cevenini and Sonia Casolari. Their work appears in journals such as Journal of Chromatography A, Analytical and Bioanalytical Chemistry, Journal of Pharmaceutical and Biomedical Analysis, Analytical Chemistry and Analytica Chimica Acta.

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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