Sarah Vidito

405 total citations
4 papers, 20 citations indexed

About

Sarah Vidito is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Sarah Vidito has authored 4 papers receiving a total of 20 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Hematology and 1 paper in Oncology. Recurrent topics in Sarah Vidito's work include Multiple Myeloma Research and Treatments (2 papers), HER2/EGFR in Cancer Research (1 paper) and Statistical Methods in Clinical Trials (1 paper). Sarah Vidito is often cited by papers focused on Multiple Myeloma Research and Treatments (2 papers), HER2/EGFR in Cancer Research (1 paper) and Statistical Methods in Clinical Trials (1 paper). Sarah Vidito collaborates with scholars based in United States. Sarah Vidito's co-authors include Danika L. Lew, Vicki A. Morrison, Akeem Yusuf, Julie R. Gralow, Winifred Werther, Gabriel N. Hortobágyi, Anne F. Schott, Daniel F. Hayes, Jiannong Liu and Lajos Pusztai and has published in prestigious journals such as Blood, Cancer Research and Journal of Geriatric Oncology.

In The Last Decade

Sarah Vidito

4 papers receiving 20 citations

Peers

Sarah Vidito
Diana Merino Vega United States
Sofia Wong United States
Parsa Akbari United Kingdom
Yue Guan China
Sheila Soh Singapore
Sarah E. Clarke Australia
Diana Merino Vega United States
Sarah Vidito
Citations per year, relative to Sarah Vidito Sarah Vidito (= 1×) peers Diana Merino Vega

Countries citing papers authored by Sarah Vidito

Since Specialization
Citations

This map shows the geographic impact of Sarah Vidito'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 Vidito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Vidito more than expected).

Fields of papers citing papers by Sarah Vidito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah Vidito. 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 Vidito. The network helps show where Sarah Vidito may publish in the future.

Co-authorship network of co-authors of Sarah Vidito

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Vidito. A scholar is included among the top collaborators of Sarah Vidito 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 Vidito. Sarah Vidito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Li, Shuling, Jiannong Liu, Vicki A. Morrison, et al.. (2019). Mortality by a proxy performance status as defined by a claims-based measure for disability status in older patients with newly diagnosed multiple myeloma in the United States. Journal of Geriatric Oncology. 10(3). 490–496. 3 indexed citations
2.
Li, Shuling, Jiannong Liu, Vicki A. Morrison, et al.. (2017). Mortality by Frailty Status as Defined by a Claims-Based Disability Status in Elderly Patients Newly Diagnosed with Multiple Myeloma in the United States. Clinical Lymphoma Myeloma & Leukemia. 17(1). e52–e53. 3 indexed citations
4.

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.

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