S. Petrella
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
Papers in
-
- Cancer therapeutics and mechanisms 12
- Biochemical and Molecular Research 4
- ATP Synthase and ATPases Research 2
-
- Tuberculosis Research and Epidemiology 13
- Co-authors
- Vincent Jarlier (12 shared papers)Wladimir Sougakoff (12 shared papers)Claudine Mayer (12 shared papers)Alexandra Aubry (12 shared papers)Aurélie Chauffour (3 shared papers)E. Sauvage (4 shared papers)R. Herman (4 shared papers)P. Charlier (4 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (7 papers)Journal of Molecular Biology (3 papers)PLoS ONE (2 papers)Biochemical Journal (2 papers)Nature Communications (1 paper)
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
S. Petrella
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Molecular Medicine 364
- Infectious Diseases 526
- Endocrinology 107
- Toxicology 57
- Epidemiology 309
Countries citing papers authored by S. Petrella
This map shows the geographic impact of S. Petrella'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 S. Petrella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Petrella more than expected).
Fields of papers citing papers by S. Petrella
This network shows the impact of papers produced by S. Petrella. 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 S. Petrella. The network helps show where S. Petrella may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Petrella, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 173 | |
| 2 | 2010 | 119 | |
| 3 | 2011 | 108 | |
| 4 | 2006 | 107 | |
| 5 | 2012 | 96 | |
| 6 | 2008 | 87 | |
| 7 | 2012 | 64 | |
| 8 | 2001 | 58 | |
| 9 | 2001 | 53 | |
| 10 | 2007 | 46 | |
| 11 | 2005 | 45 | |
| 12 | 2009 | 43 | |
| 13 | 2013 | 40 | |
| 14 | 2019 | 33 | |
| 15 | 2011 | 28 | |
| 16 | 2013 | 28 | |
| 17 | 2020 | 27 | |
| 18 | 2007 | 25 | |
| 19 | 2007 | 24 | |
| 20 | 2022 | 21 |
About S. Petrella
S. Petrella is a scholar working on Molecular Biology, Infectious Diseases, Molecular Medicine, Epidemiology and Toxicology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Tuberculosis Research and Epidemiology (13 papers), Cancer therapeutics and mechanisms (12 papers), Mycobacterium research and diagnosis (5 papers), Bioactive Compounds and Antitumor Agents (4 papers), Enzyme Structure and Function (4 papers), Biochemical and Molecular Research (4 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Molecular Medicine (364 citations), Infectious Diseases (526 citations), Endocrinology (107 citations), Toxicology (57 citations) and Epidemiology (309 citations). S. Petrella has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Vincent Jarlier, Wladimir Sougakoff, Claudine Mayer, Alexandra Aubry, Aurélie Chauffour, E. Sauvage, R. Herman, P. Charlier, Frédéric Kerff and Emmanuelle Cambau. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Molecular Biology, PLoS ONE, Biochemical Journal and Nature Communications.
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.