David A. Rusling

41 total papers · 1.1k total citations
30 papers, 797 citations indexed

About

David A. Rusling is a scholar working on Molecular Biology, Ecology and Organic Chemistry. According to data from OpenAlex, David A. Rusling has authored 30 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 4 papers in Ecology and 2 papers in Organic Chemistry. Recurrent topics in David A. Rusling's work include DNA and Nucleic Acid Chemistry (27 papers), Advanced biosensing and bioanalysis techniques (25 papers) and RNA Interference and Gene Delivery (12 papers). David A. Rusling is often cited by papers focused on DNA and Nucleic Acid Chemistry (27 papers), Advanced biosensing and bioanalysis techniques (25 papers) and RNA Interference and Gene Delivery (12 papers). David A. Rusling collaborates with scholars based in United Kingdom, United States and Netherlands. David A. Rusling's co-authors include Keith R. Fox, Arun Richard Chandrasekaran, Tom Brown, Victoria J. Broughton-Head, Nadrian C. Seeman, Tom Brown, Yoel P. Ohayon, Ruojie Sha, Vicki E. C. Powers and Chengde Mao and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

David A. Rusling

30 papers receiving 784 citations

Author Peers

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

Author						Papers	Cites
David A. Rusling	709	68	67	52	39	30	797
Jory Lietard	559 0.8×	144 2.1×	84 1.3×	97 1.9×	6 0.2×	39	715
Jinfan Wang	681 1.0×	31 0.5×	38 0.6×	12 0.2×	33 0.8×	46	996
Chenge Li	344 0.5×	78 1.1×	34 0.5×	127 2.4×	11 0.3×	34	768
N. Campbell	804 1.1×	14 0.2×	74 1.1×	108 2.1×	12 0.3×	26	1.0k
Daisuke Kiga	856 1.2×	98 1.4×	41 0.6×	34 0.7×	6 0.2×	40	924
Muriel Jourdan	766 1.1×	26 0.4×	25 0.4×	118 2.3×	78 2.0×	45	1.1k
Zeev Smilansky	529 0.7×	52 0.8×	23 0.3×	8 0.2×	12 0.3×	22	733
Hiroshi Nakano	454 0.6×	60 0.9×	13 0.2×	27 0.5×	23 0.6×	44	898
Taigang Liu	748 1.1×	22 0.3×	92 1.4×	12 0.2×	12 0.3×	65	993
Charly Empereur‐mot	355 0.5×	59 0.9×	24 0.4×	241 4.6×	21 0.5×	14	904

Countries citing papers authored by David A. Rusling

Since Specialization

Citations

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

Fields of papers citing papers by David A. Rusling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Rusling

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