Sarah Mercaldo
- Pulmonary and Respiratory Medicine top 10%
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Public Health, Environmental and Occupational Health top 10%
- Artificial Intelligence top 10%
- Co-authors
- Jeffrey D. BlumeConstance D. LehmanEric L. GroganWilliam J. BlotMelinda C. AldrichKim L. SandlerManisha BahlDavis T. Weaver
- Topics
- Global Cancer Incidence and Screening (16 papers)AI in cancer detection (11 papers)Digital Radiography and Breast Imaging (9 papers)
- Cited by
- Health InformaticsPulmonary and Respiratory MedicineRadiology, Nuclear Medicine and Imaging
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesThailandAustralia
In The Last Decade
Sarah Mercaldo
49 papers receiving 905 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Pulmonary and Respiratory Medicine 376
- Oncology 262
- Radiology, Nuclear Medicine and Imaging 258
- Public Health, Environmental and Occupational Health 179
- Artificial Intelligence 136
Countries citing papers authored by Sarah Mercaldo
This map shows the geographic impact of Sarah Mercaldo'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 Sarah Mercaldo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Mercaldo more than expected).
Fields of papers citing papers by Sarah Mercaldo
This network shows the impact of papers produced by Sarah Mercaldo. 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 Sarah Mercaldo. The network helps show where Sarah Mercaldo may publish in the future.
Co-authorship network of co-authors of Sarah Mercaldo
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Mercaldo. A scholar is included among the top collaborators of Sarah Mercaldo 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 Sarah Mercaldo. Sarah Mercaldo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 4 | |
| 14 | 27 | |
| 15 | 4 | |
| 16 | 8 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 39 |
About Sarah Mercaldo
Sarah Mercaldo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology, having authored 52 papers that have together received 931 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (16 papers), AI in cancer detection (11 papers) and Digital Radiography and Breast Imaging (9 papers). The work is most often cited by research in Health Informatics (16 citations), Pulmonary and Respiratory Medicine (376 citations) and Radiology, Nuclear Medicine and Imaging (258 citations). Sarah Mercaldo has collaborated with scholars based in United States, Thailand and Australia. Frequent co-authors include Jeffrey D. Blume, Constance D. Lehman, Eric L. Grogan, William J. Blot, Melinda C. Aldrich, Kim L. Sandler, Manisha Bahl, Davis T. Weaver, Pari V. Pandharipande and Anne Marie McCarthy. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.
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.