Roberto Ruller

74 papers receiving 2.4k citations

Peers

Roberto Ruller
Comparison fields: 5 of 82
  • Biotechnology 885
  • Biomedical Engineering 749
  • Molecular Biology 767
  • Genetics 244
  • Pharmacology 105
Replace Rolf Alexander Prade with:
Rolf Alexander Prade United States
Gary W. Black United Kingdom
Aurore Labourel France
Rolf Morosoli Canada
Xiaoyun Su China
Marie-Line Garron France
Gurinder Singh Hoondal India
João Atı́lio Jorge Brazil
Clemens Peterbauer Austria
Geoffrey P. Hazlewood United Kingdom
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Citations per field
00.5×2×2.9×
Rolf Alexander Prade · 1×
Citations per year

Countries citing papers authored by Roberto Ruller

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Ruller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017393
2 2002100
3 201189
4 201280
5 201278
6 200774
7 200270
8 201366
9 201563
10 201262
11 201461
12 201661
13 201357
14 201755
15 201651
16 200550
17 200746
18 201443
19 202143
20 201142

About Roberto Ruller

Roberto Ruller is a scholar working on Biotechnology, Biomedical Engineering, Molecular Biology, Materials Chemistry and Plant Science, having authored 78 papers that have together received 2.5k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (39 papers), Biofuel production and bioconversion (25 papers), Enzyme Catalysis and Immobilization (13 papers), Enzyme Structure and Function (12 papers), Protein Structure and Dynamics (8 papers), Venomous Animal Envenomation and Studies (7 papers), Polysaccharides and Plant Cell Walls (6 papers) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Biotechnology (885 citations), Biomedical Engineering (749 citations), Molecular Biology (767 citations), Genetics (244 citations) and Pharmacology (105 citations). Roberto Ruller has collaborated with scholars based in Brazil, United States and Spain. Frequent co-authors include Richard John Ward, Mario Tyago Murakami, Fabio Marcio Squina, Leticia Maria Zanphorlin, A.H.C. de Oliveira, Júnio Cota, Lucimara Chioato, Zaira B. Hoffmam, Camila Ramos dos Santos and Juliana M. Sá. Their work appears in journals such as Biocatalysis and Agricultural Biotechnology, Biochemical Journal, Biochemical and Biophysical Research Communications, PLoS ONE and Journal of Biological Chemistry.

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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