David J. Burns

60 total papers · 1.3k total citations
39 papers, 935 citations indexed

About

David J. Burns is a scholar working on Sociology and Political Science, Education and Molecular Biology. According to data from OpenAlex, David J. Burns has authored 39 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Sociology and Political Science, 7 papers in Education and 6 papers in Molecular Biology. Recurrent topics in David J. Burns's work include HER2/EGFR in Cancer Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Nonprofit Sector and Volunteering (4 papers). David J. Burns is often cited by papers focused on HER2/EGFR in Cancer Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Nonprofit Sector and Volunteering (4 papers). David J. Burns collaborates with scholars based in United States, United Kingdom and Switzerland. David J. Burns's co-authors include Chris Manolis, Mark Toncar, Cynthia Anderson, Ravi Chinta, Rashmi Assudani, Jane S. Reid, Usha Warrior, Susan Sergeant, Linda C. McPhail and Jonathan Kent and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

David J. Burns

37 papers receiving 847 citations

Author Peers

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

Author						Papers	Cites
David J. Burns	201	181	173	151	142	39	935
Doo Young Lee	188 0.9×	144 0.8×	234 1.4×	32 0.2×	46 0.3×	43	1.2k
Mei-Jung Wang	324 1.6×	105 0.6×	115 0.7×	26 0.2×	45 0.3×	35	851
Bo Shao	73 0.4×	54 0.3×	228 1.3×	280 1.9×	48 0.3×	44	913
Prabhat Mittal	84 0.4×	215 1.2×	103 0.6×	27 0.2×	50 0.4×	66	1.2k
Laura Bradley	80 0.4×	43 0.2×	221 1.3×	82 0.5×	63 0.4×	48	1.2k
Catherine Smith	94 0.5×	176 1.0×	109 0.6×	345 2.3×	18 0.1×	38	1.1k
Yoon-Joo Lee	84 0.4×	85 0.5×	328 1.9×	55 0.4×	253 1.8×	107	998
Ejaz Ahmed	66 0.3×	203 1.1×	307 1.8×	105 0.7×	158 1.1×	25	1.1k
Long Wang	109 0.5×	59 0.3×	203 1.2×	150 1.0×	29 0.2×	46	1.1k
Arianna Costantini	186 0.9×	61 0.3×	135 0.8×	276 1.8×	19 0.1×	45	970

Countries citing papers authored by David J. Burns

Since Specialization

Citations

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

Fields of papers citing papers by David J. Burns

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Burns. 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 David J. Burns. The network helps show where David J. Burns may publish in the future.

Co-authorship network of co-authors of David J. Burns

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Burns. A scholar is included among the top collaborators of David J. Burns 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 David J. Burns. David J. Burns 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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