Xuan Beatty

15 total papers · 451 total citations
3 papers, 352 citations indexed

About

Xuan Beatty is a scholar working on Molecular Biology, Dermatology and Immunology. According to data from OpenAlex, Xuan Beatty has authored 3 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Dermatology and 2 papers in Immunology. Recurrent topics in Xuan Beatty's work include Cutaneous lymphoproliferative disorders research (2 papers), T-cell and Retrovirus Studies (2 papers) and RNA Research and Splicing (2 papers). Xuan Beatty is often cited by papers focused on Cutaneous lymphoproliferative disorders research (2 papers), T-cell and Retrovirus Studies (2 papers) and RNA Research and Splicing (2 papers). Xuan Beatty collaborates with scholars based in United States and Italy. Xuan Beatty's co-authors include Anita G. Seto, Aimee L. Jackson, Melanie Hermreck, Joshua M. Lynch, Michael T. Tetzlaff, Madeleine Duvic, Linda Pestano, Dina Stroopinsky, Cinzia Marchese and Lauren Pinter‐Brown and has published in prestigious journals such as Blood, Clinical Cancer Research and British Journal of Haematology.

In The Last Decade

Xuan Beatty

3 papers receiving 350 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xuan Beatty	271	237	44	37	31	3	352
Melanie Hermreck	267 1.0×	233 1.0×	44 1.0×	36 1.0×	30 1.0×	2	347
Iina Elo	193 0.7×	107 0.5×	63 1.4×	55 1.5×	12 0.4×	5	371
Xinrui Shao	205 0.8×	212 0.9×	137 3.1×	46 1.2×	26 0.8×	6	402
Petra M. van der Stoop	256 0.9×	193 0.8×	63 1.4×	34 0.9×	35 1.1×	4	361
Xiao Li	197 0.7×	167 0.7×	28 0.6×	74 2.0×	47 1.5×	4	347
O L Caballero	173 0.6×	68 0.3×	71 1.6×	115 3.1×	14 0.5×	5	326
Mélanie Berta	194 0.7×	162 0.7×	31 0.7×	42 1.1×	10 0.3×	5	347
Sari Hannula	179 0.7×	151 0.6×	32 0.7×	60 1.6×	66 2.1×	5	392
Enli Yang	278 1.0×	199 0.8×	69 1.6×	52 1.4×	10 0.3×	6	359
Matthew R. Thompson	209 0.8×	51 0.2×	69 1.6×	44 1.2×	11 0.4×	4	339

Countries citing papers authored by Xuan Beatty

Since Specialization

Citations

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

Fields of papers citing papers by Xuan Beatty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Beatty

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

All Works

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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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