Danielle L. Chappell

11 total papers · 905 total citations
4 papers, 52 citations indexed

About

Danielle L. Chappell is a scholar working on Genetics, Oncology and Epidemiology. According to data from OpenAlex, Danielle L. Chappell has authored 4 papers receiving a total of 52 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 2 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Danielle L. Chappell's work include Viral-associated cancers and disorders (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). Danielle L. Chappell is often cited by papers focused on Viral-associated cancers and disorders (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). Danielle L. Chappell collaborates with scholars based in United States. Danielle L. Chappell's co-authors include Joseph M. Flynn, Jason A. Dubovsky, Jeffrey A. Jones, Amy J. Johnson, Leslie A. Andritsos, John C. Byrd, Brad Bolon, Michael E. Paulaitis, Natarajan Muthusamy and Bonnie K. Harrington and has published in prestigious journals such as Blood, Cancer Research and Journal of Virology.

In The Last Decade

Danielle L. Chappell

2 papers receiving 52 citations

Author Peers

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

Author						Papers	Cites
Danielle L. Chappell	26	19	18	12	11	4	52
Rafael Fluxá	27 1.0×	14 0.7×	10 0.6×	8 0.7×	8 0.7×	6	59
Renunda Hicks	21 0.8×	37 1.9×	11 0.6×	9 0.8×	11 1.0×	2	68
Winston Y. Lee	53 2.0×	20 1.1×	21 1.2×	9 0.8×	10 0.9×	4	84
Katayoon Kasaian	29 1.1×	7 0.4×	10 0.6×	15 1.3×	24 2.2×	2	69
Joshua Morse	50 1.9×	16 0.8×	32 1.8×	29 2.4×	13 1.2×	4	81
Kishore Amin	37 1.4×	19 1.0×	9 0.5×	6 0.5×	22 2.0×	6	71
Erin Brophy	16 0.6×	19 1.0×	21 1.2×	7 0.6×	4 0.4×	3	39
Kathleen Stabla	29 1.1×	15 0.8×	9 0.5×	14 1.2×	19 1.7×	6	76
Salima El Chehadeh-Djebbar	72 2.8×	22 1.2×	10 0.6×	12 1.0×	10 0.9×	4	221
Izac J. Findlay	36 1.4×	9 0.5×	45 2.5×	12 1.0×	18 1.6×	4	80

Countries citing papers authored by Danielle L. Chappell

Since Specialization

Citations

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

Fields of papers citing papers by Danielle L. Chappell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle L. Chappell. 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 Danielle L. Chappell. The network helps show where Danielle L. Chappell may publish in the future.

Co-authorship network of co-authors of Danielle L. Chappell

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle L. Chappell. A scholar is included among the top collaborators of Danielle L. Chappell 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 Danielle L. Chappell. Danielle L. Chappell 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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