Pablo Sobrado
Impact in
- Biochemistry top 1%
- Amino Acid Enzymes and Metabolism
- Pollution top 5%
- Microbial bioremediation and biosurfactants
Papers in
-
- Polyamine Metabolism and Applications 16
- Biochemistry 25
- Amino Acid Enzymes and Metabolism 24
- Co-authors
- John J. Tanner (20 shared papers)Reeder M. Robinson (15 shared papers)Paul F. Fitzpatrick (6 shared papers)Somayesadat Badieyan (5 shared papers)Julia S. Martín del Campo (11 shared papers)Brian G. Fox (3 shared papers)Kanagalaghatta R. Rajashankar (1 shared paper)Jason G. McCoy (1 shared paper)
- Journals
- Biochemistry (21 papers)Archives of Biochemistry and Biophysics (16 papers)Journal of Biological Chemistry (6 papers)Protein Science (4 papers)ChemBioChem (3 papers)
- Partner nations
- United StatesCosta RicaItaly
In The Last Decade
Pablo Sobrado
80 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 100
- Biochemistry 378
- Pollution 292
- Molecular Medicine 106
- Molecular Biology 1.1k
- Microbiology 12
Countries citing papers authored by Pablo Sobrado
This map shows the geographic impact of Pablo Sobrado'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 Pablo Sobrado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Sobrado more than expected).
Fields of papers citing papers by Pablo Sobrado
This network shows the impact of papers produced by Pablo Sobrado. 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 Pablo Sobrado. The network helps show where Pablo Sobrado may publish in the future.
Co-authors
The 25 scholars most cited alongside Pablo Sobrado, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 202 | |
| 2 | 2015 | 115 | |
| 3 | 2015 | 73 | |
| 4 | 2012 | 65 | |
| 5 | 2013 | 58 | |
| 6 | 2018 | 57 | |
| 7 | 2010 | 55 | |
| 8 | 2021 | 48 | |
| 9 | 2015 | 46 | |
| 10 | 2013 | 46 | |
| 11 | 2010 | 44 | |
| 12 | 2003 | 38 | |
| 13 | 2017 | 38 | |
| 14 | 2016 | 38 | |
| 15 | 2012 | 37 | |
| 16 | 2015 | 37 | |
| 17 | 2012 | 35 | |
| 18 | 2011 | 34 | |
| 19 | 2012 | 33 | |
| 20 | 2013 | 27 |
About Pablo Sobrado
Pablo Sobrado is a scholar working on Molecular Biology, Biochemistry, Organic Chemistry, Pollution and Materials Chemistry, having authored 86 papers that have together received 1.9k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (24 papers), Enzyme Structure and Function (16 papers), Polyamine Metabolism and Applications (16 papers), Carbohydrate Chemistry and Synthesis (15 papers), Microbial bioremediation and biosurfactants (13 papers), Antibiotic Resistance in Bacteria (11 papers), Metal-Catalyzed Oxygenation Mechanisms (9 papers) and Pesticide and Herbicide Environmental Studies (6 papers). The work is most often cited by research in Biochemistry (378 citations), Pollution (292 citations), Molecular Medicine (106 citations), Molecular Biology (1.1k citations) and Microbiology (12 citations). Pablo Sobrado has collaborated with scholars based in United States, Costa Rica and Italy. Frequent co-authors include John J. Tanner, Reeder M. Robinson, Paul F. Fitzpatrick, Somayesadat Badieyan, Julia S. Martín del Campo, Brian G. Fox, Kanagalaghatta R. Rajashankar, Jason G. McCoy, E.J. Levin and Giovanni Gadda. Their work appears in journals such as Biochemistry, Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, Protein Science and ChemBioChem.
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.