Marisel R. Tuttobene
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
- Escherichia coli research studies
Papers in
-
- Antibiotic Resistance in Bacteria 29
-
- Bacterial biofilms and quorum sensing 17
- Co-authors
- María Soledad Ramirez (24 shared papers)María Alejandra Mussi (9 shared papers)Pamela Cribb (5 shared papers)Robert A. Bonomo (20 shared papers)Marcelo E. Tolmasky (20 shared papers)Rodrigo Sieira (11 shared papers)Gabriela Müller (6 shared papers)Krisztina M. Papp‐Wallace (6 shared papers)
- Journals
- Scientific Reports (9 papers)PLoS ONE (2 papers)Biomedicines (2 papers)mBio (2 papers)Pathogens (2 papers)
- Partner nations
- ArgentinaUnited StatesUruguay
In The Last Decade
Marisel R. Tuttobene
33 papers receiving 344 citations
Peers
Comparison fields: 5 of 62
- Molecular Medicine 213
- Endocrinology 96
- Applied Microbiology and Biotechnology 7
- Pharmacology 45
- Microbiology 15
Countries citing papers authored by Marisel R. Tuttobene
This map shows the geographic impact of Marisel R. Tuttobene'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 Marisel R. Tuttobene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marisel R. Tuttobene more than expected).
Fields of papers citing papers by Marisel R. Tuttobene
This network shows the impact of papers produced by Marisel R. Tuttobene. 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 Marisel R. Tuttobene. The network helps show where Marisel R. Tuttobene may publish in the future.
Co-authors
The 25 scholars most cited alongside Marisel R. Tuttobene, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 35 | |
| 2 | 2021 | 32 | |
| 3 | 2019 | 30 | |
| 4 | 2020 | 30 | |
| 5 | 2018 | 24 | |
| 6 | 2021 | 19 | |
| 7 | 2022 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2022 | 14 | |
| 10 | 2019 | 14 | |
| 11 | 2023 | 13 | |
| 12 | 2022 | 13 | |
| 13 | 2023 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2019 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2019 | 6 |
About Marisel R. Tuttobene
Marisel R. Tuttobene is a scholar working on Molecular Medicine, Molecular Biology, Endocrinology, Infectious Diseases and Pharmacology, having authored 35 papers that have together received 347 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (29 papers), Bacterial biofilms and quorum sensing (17 papers), Vibrio bacteria research studies (12 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Photoreceptor and optogenetics research (3 papers), Escherichia coli research studies (3 papers) and Probiotics and Fermented Foods (3 papers). The work is most often cited by research in Molecular Medicine (213 citations), Endocrinology (96 citations), Applied Microbiology and Biotechnology (7 citations), Pharmacology (45 citations) and Microbiology (15 citations). Marisel R. Tuttobene has collaborated with scholars based in Argentina, United States and Uruguay. Frequent co-authors include María Soledad Ramirez, María Alejandra Mussi, Pamela Cribb, Robert A. Bonomo, Marcelo E. Tolmasky, Rodrigo Sieira, Gabriela Müller, Krisztina M. Papp‐Wallace, Luis A. Actis and Jennifer S. Fernandez. Their work appears in journals such as Scientific Reports, PLoS ONE, Biomedicines, mBio and Pathogens.
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.