Katie Seo

14 papers and 508 indexed citations i.

About

Katie Seo is a scholar working on Hematology, Pathology and Forensic Medicine and Dermatology. According to data from OpenAlex, Katie Seo has authored 14 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 6 papers in Pathology and Forensic Medicine and 5 papers in Dermatology. Recurrent topics in Katie Seo’s work include Lymphoma Diagnosis and Treatment (6 papers), Acute Myeloid Leukemia Research (6 papers) and Cutaneous lymphoproliferative disorders research (5 papers). Katie Seo is often cited by papers focused on Lymphoma Diagnosis and Treatment (6 papers), Acute Myeloid Leukemia Research (6 papers) and Cutaneous lymphoproliferative disorders research (5 papers). Katie Seo collaborates with scholars based in United States. Katie Seo's co-authors include Daniel A. Arber, Olga K. Weinberg, Scott D. Boyd, Lisa Ma, James L. Zehnder, ­Mahesh Seetharam, Li Ren, Jason Gotlib, Uma Sundram and Jason D. Merker and has published in prestigious journals such as Blood, The Journal of Immunology and Science Translational Medicine.

In The Last Decade

Co-authorship network of co-authors of Katie Seo i

Fields of papers citing papers by Katie Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Katie Seo

Since Specialization
Citations

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