David Healey

958 total citations
9 papers, 706 citations indexed

About

David Healey is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, David Healey has authored 9 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Epidemiology. Recurrent topics in David Healey's work include RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers) and Bacterial Genetics and Biotechnology (3 papers). David Healey is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers) and Bacterial Genetics and Biotechnology (3 papers). David Healey collaborates with scholars based in United States, Germany and Canada. David Healey's co-authors include Brian K. Shoichet, Rick White, Calum A. MacRae, David Kokel, Jennifer Bryan, Christian Laggner, Rita Mateus, Chung Yan Cheung, Randall T. Peterson and Andreas A. Werdich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and The FASEB Journal.

In The Last Decade

David Healey

9 papers receiving 694 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Healey United States	7	367	289	113	94	89	9	706
Motomichi Doi Japan	18	226 0.6×	60 0.2×	231 2.0×	72 0.8×	44 0.5×	59	910
Stefani C. Eames United States	7	178 0.5×	251 0.9×	107 0.9×	19 0.2×	3 0.0×	7	539
Mohammed M. Idris India	16	343 0.9×	175 0.6×	70 0.6×	24 0.3×	2 0.0×	42	790
Sven Beushausen United States	17	516 1.4×	338 1.2×	59 0.5×	24 0.3×	10 0.1×	27	1.0k
Valérie Mezger France	21	1.1k 3.1×	291 1.0×	99 0.9×	45 0.5×	5 0.1×	37	1.4k
Jun Terashima Japan	16	295 0.8×	27 0.1×	221 2.0×	32 0.3×	15 0.2×	30	893
Tetsunari Fukushige United States	21	1.3k 3.6×	268 0.9×	224 2.0×	24 0.3×	3 0.0×	33	1.9k
Gérard Triqueneaux France	13	343 0.9×	54 0.2×	114 1.0×	43 0.5×	6 0.1×	17	710
Francesca Achilli United Kingdom	6	237 0.6×	24 0.1×	86 0.8×	24 0.3×	8 0.1×	6	522
А. М. Куликов Russia	13	283 0.8×	55 0.2×	150 1.3×	28 0.3×	10 0.1×	64	599

Countries citing papers authored by David Healey

Since Specialization

Citations

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

Fields of papers citing papers by David Healey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Healey

This figure shows the co-authorship network connecting the top 25 collaborators of David Healey. A scholar is included among the top collaborators of David Healey 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 Healey. David Healey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Mittal, Nimisha, Chadwick T. Davis, Peter McLean, et al.. (2023). Human nuclear hormone receptor activity contributes to malaria parasite liver stage development. Cell chemical biology. 30(5). 486–498.e7. 3 indexed citations

2.

Healey, David, Kevin Axelrod, & Jeff Gore. (2016). Negative frequency‐dependent interactions can underlie phenotypic heterogeneity in a clonal microbial population. Molecular Systems Biology. 12(8). 877–877. 27 indexed citations

3.

Woolstenhulme, Christopher J., Shankar P. Parajuli, David Healey, et al.. (2013). Nascent peptides that block protein synthesis in bacteria. Proceedings of the National Academy of Sciences. 110(10). E878–87. 123 indexed citations

4.

Kokel, David, Jennifer Bryan, Christian Laggner, et al.. (2010). Rapid behavior-based identification of neuroactive small molecules in the zebrafish. Nature Chemical Biology. 6(3). 231–237. 401 indexed citations

5.

Delgado‐Borrego, Aymin, David Healey, Wenyu Lin, et al.. (2010). Reduction of Insulin Resistance With Effective Clearance of Hepatitis C Infection: Results From the HALT-C Trial. Clinical Gastroenterology and Hepatology. 8(5). 458–462. 72 indexed citations

6.

Delgado‐Borrego, Aymin, David Healey, M. Christofi, et al.. (2010). Influence of Body Mass Index on Outcome of Pediatric Chronic Hepatitis C Virus Infection. Journal of Pediatric Gastroenterology and Nutrition. 51(2). 191–197. 30 indexed citations

7.

Healey, David, et al.. (2009). SmpB Contributes to Reading Frame Selection in the Translation of Transfer–Messenger RNA. Journal of Molecular Biology. 391(2). 275–281. 25 indexed citations

8.

Miller, Mickey, et al.. (2008). The role of upstream sequences in selecting the reading frame on tmRNA. BMC Biology. 6(1). 29–29. 23 indexed citations

9.

Healey, David, et al.. (2008). The role of tmRNA nucleotides and the SmpB protein in setting the translational frame on tmRNA. The FASEB Journal. 22(S2). 224–224. 2 indexed citations

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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