William G. Bernard

24 total papers · 1.0k total citations
15 papers, 615 citations indexed

About

William G. Bernard is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, William G. Bernard has authored 15 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Surgery and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in William G. Bernard's work include Congenital heart defects research (7 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Pluripotent Stem Cells Research (3 papers). William G. Bernard is often cited by papers focused on Congenital heart defects research (7 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Pluripotent Stem Cells Research (3 papers). William G. Bernard collaborates with scholars based in United Kingdom, United States and Panama. William G. Bernard's co-authors include Sanjay Sinha, Felipe Serrano, Alessandra Granata, Laure Gambardella, Dharini Iyer, Priya Sastry, Alessandro Bertero, Johannes Bargehr, Fotios Sampaziotis and Martin R. Bennett and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Nature Biotechnology.

In The Last Decade

William G. Bernard

15 papers receiving 610 citations

Author Peers

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

Author						Papers	Cites
William G. Bernard	430	219	89	87	81	15	615
Dharini Iyer	358 0.8×	185 0.8×	63 0.7×	56 0.6×	56 0.7×	13	530
Timo Pakkanen	372 0.9×	174 0.8×	180 2.0×	78 0.9×	40 0.5×	16	551
Lincoln T. Shenje	496 1.2×	234 1.1×	73 0.8×	25 0.3×	39 0.5×	12	696
Laureen Jacquet	361 0.8×	96 0.4×	40 0.4×	46 0.5×	102 1.3×	13	524
Ethan Radzinsky	590 1.4×	266 1.2×	30 0.3×	42 0.5×	43 0.5×	7	693
Esra Çağavi	424 1.0×	127 0.6×	31 0.3×	26 0.3×	80 1.0×	21	661
Aaron D. DeWard	352 0.8×	221 1.0×	37 0.4×	86 1.0×	87 1.1×	14	695
David E. Reese	535 1.2×	158 0.7×	66 0.7×	125 1.4×	22 0.3×	16	685
Jamie I. Morrison	508 1.2×	153 0.7×	50 0.6×	32 0.4×	23 0.3×	21	612
Norbert Huebner	375 0.9×	146 0.7×	43 0.5×	22 0.3×	147 1.8×	13	608

Countries citing papers authored by William G. Bernard

Since Specialization

Citations

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

Fields of papers citing papers by William G. Bernard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Bernard. 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 William G. Bernard. The network helps show where William G. Bernard may publish in the future.

Co-authorship network of co-authors of William G. Bernard

This figure shows the co-authorship network connecting the top 25 collaborators of William G. Bernard. A scholar is included among the top collaborators of William G. Bernard 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 William G. Bernard. William G. Bernard 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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