Maressa Santarossa
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Oncology
- Co-authors
- Elizabeth A. BertranEmily T. MartinHuong NguyenRichard B. EvansKeith S. KayeLinda A. JaberEric WenzlerMichael P. Veve
- Topics
- Antibiotic Use and Resistance (14 papers)Bacterial Identification and Susceptibility Testing (7 papers)Patient Satisfaction in Healthcare (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaInfection Control and Hospital EpidemiologyAntibiotics
- Partner nations
- United States
In The Last Decade
Maressa Santarossa
15 papers receiving 454 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Surgery 306
- Endocrinology, Diabetes and Metabolism 116
- Cardiology and Cardiovascular Medicine 102
- Epidemiology 64
- Oncology 50
Countries citing papers authored by Maressa Santarossa
This map shows the geographic impact of Maressa Santarossa'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 Maressa Santarossa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maressa Santarossa more than expected).
Fields of papers citing papers by Maressa Santarossa
This network shows the impact of papers produced by Maressa Santarossa. 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 Maressa Santarossa. The network helps show where Maressa Santarossa may publish in the future.
Co-authorship network of co-authors of Maressa Santarossa
This figure shows the co-authorship network connecting the top 25 collaborators of Maressa Santarossa. A scholar is included among the top collaborators of Maressa Santarossa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maressa Santarossa. Maressa Santarossa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 0 | |
| 12 | 6 | |
| 13 | 0 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | Diabetes and Risk of Surgical Site Infection: A Systematic Review and Meta-analysisbreakdown → | 403 |
About Maressa Santarossa
Maressa Santarossa is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Molecular Medicine, having authored 18 papers that have together received 469 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (14 papers), Bacterial Identification and Susceptibility Testing (7 papers) and Patient Satisfaction in Healthcare (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (27 citations), Endocrinology, Diabetes and Metabolism (116 citations) and Surgery (306 citations). Maressa Santarossa has collaborated with scholars based in United States. Frequent co-authors include Elizabeth A. Bertran, Emily T. Martin, Huong Nguyen, Richard B. Evans, Keith S. Kaye, Linda A. Jaber, Eric Wenzler, Michael P. Veve, Nimish Patel and Nicholas J. Mercuro. Their work appears in journals such as SHILAP Revista de lepidopterología, Infection Control and Hospital Epidemiology and Antibiotics.
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.