Violeta Botbol

524 citations
16 papers · 488 · h-index 11

Impact in

    • Peptidase Inhibition and Analysis
    • Drug Transport and Resistance Mechanisms
    • Muscle metabolism and nutrition

Papers in

Violeta Botbol

16 papers receiving 445 citations

Peers

Violeta Botbol
Comparison fields: 5 of 67
  • Oncology 202
  • Cell Biology 103
  • Clinical Biochemistry 28
  • Hepatology 26
  • Cellular and Molecular Neuroscience 66
Replace Shigeo Masaki with:
Shigeo Masaki Japan
Manuel Freire Spain
Enzo Bard United States
S. J. Holt United Kingdom
Ann Nomoto United States
Mark J. Nuell United States
Ziyou Cui United States
Eric Fodor United States
Eugene Bolotin United States
Gabriel B. Kalmar Canada
Violeta Botbol relative to Shigeo Masaki Japan Shigeo Masaki's profile →
Citations per field
00.5×4.1×
Shigeo Masaki · 1×
Citations per year

Countries citing papers authored by Violeta Botbol

Since Specialization
Citations

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

Fields of papers citing papers by Violeta Botbol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Violeta Botbol, 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 Violeta Botbol Line = papers co-authored together Violeta Botbol links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1976144
2 200193
3 198335
4 199134
5 197932
6 197929
7 198927
8 196817
9
Cellular uptake of 3H-bestatin in tissues of mice after its intravenous injection.
199715
10 196813
11 199713
12 199710
13 19788
14 19678
15 19686
16 20044

About Violeta Botbol

Violeta Botbol is a scholar working on Oncology, Molecular Biology, Cell Biology, Physiology and Plant Science, having authored 16 papers that have together received 488 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (7 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Phytase and its Applications (3 papers), Muscle metabolism and nutrition (2 papers), Adenosine and Purinergic Signaling (2 papers), Liver physiology and pathology (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Amphibian and Reptile Biology (2 papers). The work is most often cited by research in Oncology (202 citations), Cell Biology (103 citations), Clinical Biochemistry (28 citations), Hepatology (26 citations) and Cellular and Molecular Neuroscience (66 citations). Violeta Botbol has collaborated with scholars based in United States and Argentina. Frequent co-authors include Oscar A. Scornik, Virgilio L. Lew, Scott K. Howell and Ricardo Amils. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Endocrinology and Metabolism, Current Drug Metabolism, Proceedings of the National Academy of Sciences and Experimental Biology and Medicine.

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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