Sandra Dai

10 papers and 656 indexed citations i.

About

Sandra Dai is a scholar working on Genetics, Pathology and Forensic Medicine and Hematology. According to data from OpenAlex, Sandra Dai has authored 10 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 9 papers in Pathology and Forensic Medicine and 3 papers in Hematology. Recurrent topics in Sandra Dai’s work include Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (9 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Sandra Dai is often cited by papers focused on Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (9 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Sandra Dai collaborates with scholars based in United States, Italy and United Kingdom. Sandra Dai's co-authors include Carol Moreno, James P. Dean, Peter Hillmen, Steven Coutré, Jan A. Burger, Thomas J. Kipps, Paul M. Barr, Alessandra Tedeschi, Carolyn Owen and Osnat Bairey and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Leukemia.

In The Last Decade

Co-authorship network of co-authors of Sandra Dai i

Fields of papers citing papers by Sandra Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sandra Dai

Since Specialization
Citations

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

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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2025