Ruben G. Carbonell

3.3k citations
119 papers · 2.7k indexed · h-index 30

Ruben G. Carbonell

118 papers receiving 2.6k citations

Peers

Ruben G. Carbonell
Comparison fields: 5 of 120
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Molecular Biology 2.0k
  • Surfaces, Coatings and Films 197
  • Filtration and Separation 33
  • Biomaterials 191
Replace Todd M. Przybycien with:
Todd M. Przybycien United States
Owen R.T. Thomas United Kingdom
Rainer Hahn Austria
Robert van Reis United States
Conan J. Fee New Zealand
Friedrich Birger Anspach Germany
Aleš Podgornik Slovenia
Wen‐Yih Chen Taiwan
Koreyoshi Imamura Japan
Vasco Filipe Netherlands
Ruben G. Carbonell relative to Todd M. Przybycien United States Todd M. Przybycien's profile →
Citations per field
00.5×3.9×
Todd M. Przybycien · 1×
Citations per year

Countries citing papers authored by Ruben G. Carbonell

Since Specialization
Citations

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

Fields of papers citing papers by Ruben G. Carbonell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruben G. Carbonell. 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 Ruben G. Carbonell. The network helps show where Ruben G. Carbonell may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20243
4 202214
5 20224
6 202219
7 202031
8 201957
9 201224
10 201269
11 201229
12 201012
13 200818
14 200530
15 199653
16 199610
17 199615
18 199323
19 19915
20 198811

About Ruben G. Carbonell

Ruben G. Carbonell is a scholar working on Radiology, Nuclear Medicine and Imaging, Surfaces, Coatings and Films and Molecular Biology, having authored 119 papers that have together received 2.7k indexed citations. Recurring topics across this work include Protein purification and stability (60 papers), Monoclonal and Polyclonal Antibodies Research (49 papers), Viral Infectious Diseases and Gene Expression in Insects (15 papers), Glycosylation and Glycoproteins Research (14 papers), Chemical Synthesis and Analysis (13 papers), Polymer Surface Interaction Studies (11 papers), Advanced biosensing and bioanalysis techniques (10 papers) and Analytical Chemistry and Chromatography (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Molecular Biology (2.0k citations) and Surfaces, Coatings and Films (197 citations). Ruben G. Carbonell has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Patrick V. Gurgel, Peter K. Kilpatrick, Stefano Menegatti, Amith D. Naik, Hong Yang, Orlando J. Rojas, David J. Hammond, Cristiana Boi, B. J. McCoy and Yanxia Zhang. Their work appears in journals such as The Lancet, Nano Letters and Environmental Science & Technology.

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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