Stefano Cacciatore
Impact in
- Microbiology top 2%
- Reproductive tract infections research
- Periodontics top 2%
- Oral microbiology and periodontitis research
Papers in
-
- Metabolomics and Mass Spectrometry Studies 14
- Epigenetics and DNA Methylation 3
- Epidemiology 15
- Liver Disease Diagnosis and Treatment 7
- Preterm Birth and Chorioamnionitis 5
- Co-authors
- Phillip R. Bennett (9 shared papers)David A. MacIntyre (9 shared papers)Leonardo Tenori (8 shared papers)Massimo Loda (5 shared papers)Claudio Luchinat (5 shared papers)T. Teoh (4 shared papers)Lindsay Kindinger (4 shared papers)Mario Aimetti (3 shared papers)
- Journals
- HPB (4 papers)PLoS ONE (3 papers)Cancer Research (3 papers)Journal of Proteome Research (3 papers)Genes (2 papers)
- Partner nations
- South AfricaUnited KingdomItaly
In The Last Decade
Stefano Cacciatore
45 papers receiving 1.7k citations
Stefano Cacciatore's Hit Papers
Peers
Comparison fields: 5 of 125
- Microbiology 228
- Periodontics 111
- Obstetrics and Gynecology 157
- Epidemiology 460
- Cancer Research 182
Countries citing papers authored by Stefano Cacciatore
This map shows the geographic impact of Stefano Cacciatore'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 Stefano Cacciatore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Cacciatore more than expected).
Fields of papers citing papers by Stefano Cacciatore
This network shows the impact of papers produced by Stefano Cacciatore. 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 Stefano Cacciatore. The network helps show where Stefano Cacciatore may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefano Cacciatore, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The interaction between vaginal microbiota, cervical length, and vaginal progesterone treatment for preterm birth risk Hit paper breakdown → | 2017 | 274 |
| 2 | 2011 | 162 | |
| 3 | 2016 | 143 | |
| 4 | 2018 | 125 | |
| 5 | 2011 | 119 | |
| 6 | 2014 | 112 | |
| 7 | 2015 | 109 | |
| 8 | 2015 | 57 | |
| 9 | 2016 | 56 | |
| 10 | 2015 | 54 | |
| 11 | 2018 | 50 | |
| 12 | 2017 | 48 | |
| 13 | 2012 | 47 | |
| 14 | 2020 | 37 | |
| 15 | 2016 | 36 | |
| 16 | 2016 | 34 | |
| 17 | 2018 | 33 | |
| 18 | 2014 | 33 | |
| 19 | 2017 | 31 | |
| 20 | 2013 | 30 |
About Stefano Cacciatore
Stefano Cacciatore is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Spectroscopy and Oncology, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (14 papers), Liver Disease Diagnosis and Treatment (7 papers), Preterm Birth and Chorioamnionitis (5 papers), Cancer, Lipids, and Metabolism (5 papers), Cancer Genomics and Diagnostics (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Epigenetics and DNA Methylation (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Microbiology (228 citations), Periodontics (111 citations), Obstetrics and Gynecology (157 citations), Epidemiology (460 citations) and Cancer Research (182 citations). Stefano Cacciatore has collaborated with scholars based in South Africa, United Kingdom and Italy. Frequent co-authors include Phillip R. Bennett, David A. MacIntyre, Leonardo Tenori, Massimo Loda, Claudio Luchinat, T. Teoh, Lindsay Kindinger, Mario Aimetti, Yun Sok Lee and Jeremy K. Nicholson. Their work appears in journals such as HPB, PLoS ONE, Cancer Research, Journal of Proteome Research and Genes.
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.