William Ladd

413 total citations
3 papers, 254 citations indexed

About

William Ladd is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology. According to data from OpenAlex, William Ladd has authored 3 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Geriatrics and Gerontology. Recurrent topics in William Ladd's work include Gene Regulatory Network Analysis (1 paper), Lipid metabolism and disorders (1 paper) and Bioinformatics and Genomic Networks (1 paper). William Ladd is often cited by papers focused on Gene Regulatory Network Analysis (1 paper), Lipid metabolism and disorders (1 paper) and Bioinformatics and Genomic Networks (1 paper). William Ladd collaborates with scholars based in Switzerland and United States. William Ladd's co-authors include Keith Elliston, Natalie L. Catlett, Dexter Pratt, David P. Carney, David Gagné, Jeffrey Song, André Iffland, J. Joshua Smith, Jill C. Milne and Brian P. Frushour and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and BMC Systems Biology.

In The Last Decade

William Ladd

3 papers receiving 248 citations

Peers

Countries citing papers authored by William Ladd

Since Specialization

Citations

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

Fields of papers citing papers by William Ladd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Ladd

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

All Works

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3 of 3 papers shown

#	Work	Indexed citations
1	Reverse causal reasoning: applying qualitative causal knowledge to the interpretation of high-throughput data 2013 ·BMC Bioinformatics ·Natalie L. Catlett, (unknown), (unknown), (unknown), William Ladd, Keith Elliston, Dexter Pratt	68
2	Comparative Transcriptional Network Modeling of Three PPAR-α/γ Co-Agonists Reveals Distinct Metabolic Gene Signatures in Primary Human Hepatocytes 2012 ·PLoS ONE ·Renée Deehan, (unknown), Natalie L. Catlett, Guido Steiner, (unknown), Matthew B. Wright, Gil Blander, Keith Elliston, William Ladd, María Bobadilla, Jacques Mizrahi, Carolina Haefliger, Alan D. Edgar	18
3	Small molecule activators of SIRT1 replicate signaling pathways triggered by calorie restriction in vivo 2009 ·BMC Systems Biology ·J. Joshua Smith, (unknown), David Gagné, Brian P. Frushour, William Ladd, Heidi L. Galonek, (unknown), Jeffrey Song, (unknown), (unknown), David P. Carney, Robin J. Johnson, Siva Lavu, André Iffland, Peter J. Elliott, Philip Lambert, Keith Elliston, Michael R. Jirousek, Jill C. Milne, Olivier Boss	168

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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