David Heard

676 total citations
10 papers, 476 citations indexed

About

David Heard is a scholar working on Molecular Biology, Computational Theory and Mathematics and Small Animals. According to data from OpenAlex, David Heard has authored 10 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Small Animals. Recurrent topics in David Heard's work include Computational Drug Discovery Methods (3 papers), RNA modifications and cancer (2 papers) and Estrogen and related hormone effects (2 papers). David Heard is often cited by papers focused on Computational Drug Discovery Methods (3 papers), RNA modifications and cancer (2 papers) and Estrogen and related hormone effects (2 papers). David Heard collaborates with scholars based in Switzerland, United States and France. David Heard's co-authors include Peder Lisby Nørby, Jim Holloway, Henrik Vissing, Pierre Chambon, Robert Fraser, Jean‐Marc Egly, Mireille Rossignol, Witold Filipowicz, Zbigniew Binienda and John F. Bowyer and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

David Heard

9 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Heard Switzerland 9 275 164 59 55 43 10 476
Ekaterina Kotelnikova United States 12 325 1.2× 35 0.2× 38 0.6× 56 1.0× 37 0.9× 24 503
Aurobindo Chatterjee United States 9 357 1.3× 172 1.0× 21 0.4× 24 0.4× 49 1.1× 12 573
Michael T. Miura United States 10 315 1.1× 287 1.8× 48 0.8× 27 0.5× 16 0.4× 15 493
Keith D. Connaghan‐Jones United States 7 258 0.9× 206 1.3× 47 0.8× 21 0.4× 16 0.4× 8 402
Mercedes Barzi United States 15 449 1.6× 178 1.1× 26 0.4× 13 0.2× 34 0.8× 25 732
Joan R. Kanter United States 13 547 2.0× 59 0.4× 72 1.2× 60 1.1× 61 1.4× 16 757
L. Allen Kindman United States 15 405 1.5× 36 0.2× 60 1.0× 42 0.8× 60 1.4× 17 621
David L. Charest Canada 10 374 1.4× 36 0.2× 62 1.1× 25 0.5× 119 2.8× 12 527
Ted M. Lakowski Canada 17 649 2.4× 38 0.2× 34 0.6× 68 1.2× 31 0.7× 45 864
Panwen Wang United States 18 690 2.5× 272 1.7× 17 0.3× 55 1.0× 42 1.0× 44 974

Countries citing papers authored by David Heard

Since Specialization
Citations

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

Fields of papers citing papers by David Heard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Heard

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

All Works

10 of 10 papers shown
1.
Briggs, Katharine, Montserrat Cases, David Heard, et al.. (2012). Inroads to Predict in Vivo Toxicology—An Introduction to the eTOX Project. International Journal of Molecular Sciences. 13(3). 3820–3846. 36 indexed citations
2.
Moggs, Jonathan G., Pierre Moulin, François Pognan, et al.. (2012). Investigative safety science as a competitive advantage for Pharma. Expert Opinion on Drug Metabolism & Toxicology. 8(9). 1071–1082. 13 indexed citations
3.
Nigsch, Florian, Eugen Lounkine, Patrick McCarren, et al.. (2011). Computational methods for early predictive safety assessment from biological and chemical data. Expert Opinion on Drug Metabolism & Toxicology. 7(12). 1497–1511. 16 indexed citations
5.
Heard, David. (2005). Equipment Lifecycle Management: The Solution for Yesterday's, Today's, and Tomorrow's Networks.
6.
Heard, David, Peder Lisby Nørby, Jim Holloway, & Henrik Vissing. (2000). Human ERRγ, a Third Member of the Estrogen Receptor-Related Receptor (ERR) Subfamily of Orphan Nuclear Receptors: Tissue-Specific Isoforms Are Expressed during Development and in the Adult. Molecular Endocrinology. 14(3). 382–392. 171 indexed citations
7.
Fraser, Robert, David Heard, Bertrand Le Douarin, et al.. (1998). The Putative Cofactor TIF1α Is a Protein Kinase That Is Hyperphosphorylated upon Interaction with Liganded Nuclear Receptors. Journal of Biological Chemistry. 273(26). 16199–16204. 45 indexed citations
8.
Fraser, Robert, Mireille Rossignol, David Heard, Jean‐Marc Egly, & Pierre Chambon. (1997). SUG1, a Putative Transcriptional Mediator and Subunit of the PA700 Proteasome Regulatory Complex, Is a DNA Helicase. Journal of Biological Chemistry. 272(11). 7122–7126. 73 indexed citations
9.
Heard, David, et al.. (1995). An upstream U-snRNA gene-like promoter is required for transcription of theArabidopsis thaliana7SL RNA gene. Nucleic Acids Research. 23(11). 1970–1976. 19 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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