Rebecca Epperly

53 total papers · 401 total citations
30 papers, 234 citations indexed

About

Rebecca Epperly is a scholar working on Oncology, Public Health, Environmental and Occupational Health and Hematology. According to data from OpenAlex, Rebecca Epperly has authored 30 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 11 papers in Public Health, Environmental and Occupational Health and 11 papers in Hematology. Recurrent topics in Rebecca Epperly's work include CAR-T cell therapy research (15 papers), Acute Lymphoblastic Leukemia research (9 papers) and Hematopoietic Stem Cell Transplantation (9 papers). Rebecca Epperly is often cited by papers focused on CAR-T cell therapy research (15 papers), Acute Lymphoblastic Leukemia research (9 papers) and Hematopoietic Stem Cell Transplantation (9 papers). Rebecca Epperly collaborates with scholars based in United States. Rebecca Epperly's co-authors include Stephen Gottschalk, Mireya Paulina Velasquez, Masayuki Umeda, Sujuan Huang, Sagar L. Patil, Cheng Cheng, Jing Ma, Nirali N. Shah, Jeffery M. Klco and Nikhil Hebbar and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Rebecca Epperly

26 papers receiving 232 citations

Author Peers

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

Author						Papers	Cites
Rebecca Epperly	166	83	72	59	39	30	234
Chengfei Pu	194 1.2×	86 1.0×	93 1.3×	60 1.0×	21 0.5×	19	272
Nicholas D’Cunha	149 0.9×	85 1.0×	102 1.4×	28 0.5×	48 1.2×	32	280
Haitham Abdelhakim	112 0.7×	134 1.6×	66 0.9×	22 0.4×	81 2.1×	44	298
Guillermo O. Rangel Rivera	173 1.0×	115 1.4×	165 2.3×	41 0.7×	22 0.6×	18	330
Martina Magni	133 0.8×	144 1.7×	64 0.9×	32 0.5×	13 0.3×	19	317
Wenjie Gong	209 1.3×	105 1.3×	95 1.3×	57 1.0×	30 0.8×	22	319
Diego Adrianzen Herrera	124 0.7×	68 0.8×	66 0.9×	31 0.5×	50 1.3×	41	314
Sibgha Gull Chaudhary	158 1.0×	70 0.8×	81 1.1×	15 0.3×	98 2.5×	34	297
Ceri Jones	125 0.8×	64 0.8×	29 0.4×	32 0.5×	24 0.6×	17	209
Isacco Ferrarini	113 0.7×	77 0.9×	80 1.1×	17 0.3×	31 0.8×	30	293

Countries citing papers authored by Rebecca Epperly

Since Specialization

Citations

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

Fields of papers citing papers by Rebecca Epperly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Epperly

This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca Epperly. A scholar is included among the top collaborators of Rebecca Epperly 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 Rebecca Epperly. Rebecca Epperly 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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