Danica M. Sutherland

37 total papers · 720 total citations
23 papers, 470 citations indexed

About

Danica M. Sutherland is a scholar working on Infectious Diseases, Genetics and Molecular Biology. According to data from OpenAlex, Danica M. Sutherland has authored 23 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 11 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Danica M. Sutherland's work include Viral gastroenteritis research and epidemiology (16 papers), Virus-based gene therapy research (11 papers) and Viral Infections and Immunology Research (5 papers). Danica M. Sutherland is often cited by papers focused on Viral gastroenteritis research and epidemiology (16 papers), Virus-based gene therapy research (11 papers) and Viral Infections and Immunology Research (5 papers). Danica M. Sutherland collaborates with scholars based in United States, Germany and Belgium. Danica M. Sutherland's co-authors include Terence S. Dermody, Mark A. Buchheim, Matthias Wolf, Pavithra Aravamudhan, J. Scott Fites, Kyra Oswald‐Richter, Jeremy P. Ramsey, Sarah P. Collier, Laura K. Reinert and Thomas M. Aune and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Danica M. Sutherland

21 papers receiving 464 citations

Author Peers

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

Author						Papers	Cites
Danica M. Sutherland	166	130	112	101	81	23	470
Kieran A. Bates	69 0.4×	141 1.1×	166 1.5×	44 0.4×	36 0.4×	20	419
Christopher Durrant	104 0.6×	101 0.8×	42 0.4×	48 0.5×	28 0.3×	19	491
Amber Griffiths	58 0.3×	151 1.2×	96 0.9×	185 1.8×	42 0.5×	19	549
Roberta Lecis	78 0.5×	60 0.5×	45 0.4×	214 2.1×	37 0.5×	25	520
María J. Forzán	82 0.5×	154 1.2×	26 0.2×	45 0.4×	97 1.2×	34	437
T. Strand	87 0.5×	64 0.5×	49 0.4×	123 1.2×	75 0.9×	27	426
E. Vanopdenbosch	121 0.7×	58 0.4×	72 0.6×	32 0.3×	69 0.9×	30	519
Jennifer Gantress	132 0.8×	182 1.4×	69 0.6×	24 0.2×	277 3.4×	11	465
Márcio Hipólito	39 0.2×	289 2.2×	72 0.6×	35 0.3×	72 0.9×	34	458
C. E. Dunbar	76 0.5×	72 0.6×	62 0.6×	68 0.7×	291 3.6×	20	544

Countries citing papers authored by Danica M. Sutherland

Since Specialization

Citations

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

Fields of papers citing papers by Danica M. Sutherland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danica M. Sutherland. 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 Danica M. Sutherland. The network helps show where Danica M. Sutherland may publish in the future.

Co-authorship network of co-authors of Danica M. Sutherland

This figure shows the co-authorship network connecting the top 25 collaborators of Danica M. Sutherland. A scholar is included among the top collaborators of Danica M. Sutherland 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 Danica M. Sutherland. Danica M. Sutherland 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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