Deborah Weighill

1.1k total citations
22 papers, 493 citations indexed

About

Deborah Weighill is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Deborah Weighill has authored 22 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Deborah Weighill's work include Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (6 papers) and Gene Regulatory Network Analysis (5 papers). Deborah Weighill is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (6 papers) and Gene Regulatory Network Analysis (5 papers). Deborah Weighill collaborates with scholars based in United States, South Africa and Norway. Deborah Weighill's co-authors include Daniel Jacobson, Gerald A. Tuskan, Piet Jones, Timothy J. Tschaplinski, Marouen Ben Guebila, John Quackenbush, John Platig, Kimberly Glass, Silvia Carlin and Lorenza Conterno and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Deborah Weighill

22 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deborah Weighill United States	12	264	207	92	56	52	22	493
Sushma Naithani United States	13	528 2.0×	381 1.8×	36 0.4×	25 0.4×	77 1.5×	46	741
Fatemeh Maghuly Austria	16	289 1.1×	401 1.9×	38 0.4×	30 0.5×	71 1.4×	46	666
Marc Lartaud France	18	449 1.7×	507 2.4×	69 0.8×	20 0.4×	14 0.3×	36	776
Motoki Kanekatsu Japan	15	362 1.4×	515 2.5×	20 0.2×	27 0.5×	56 1.1×	44	713
Yanqin Wang China	11	296 1.1×	377 1.8×	107 1.2×	18 0.3×	27 0.5×	29	709
Xinhua Zhang China	19	698 2.6×	622 3.0×	47 0.5×	44 0.8×	40 0.8×	57	1.0k
Shuzhen Zhao China	20	577 2.2×	898 4.3×	30 0.3×	20 0.4×	51 1.0×	52	1.1k
Gautier Sarah France	12	276 1.0×	420 2.0×	142 1.5×	37 0.7×	107 2.1×	20	622

Countries citing papers authored by Deborah Weighill

Since Specialization

Citations

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

Fields of papers citing papers by Deborah Weighill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Weighill

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

All Works

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20 of 20 papers shown

Weighill, Deborah, Marouen Ben Guebila, Kimberly Glass, John Quackenbush, & John Platig. (2022). Predicting genotype-specific gene regulatory networks. Genome Research. 32(3). 524–533. 6 indexed citations

Weighill, Deborah, Rebekka Burkholz, Marouen Ben Guebila, et al.. (2022). DRAGON: Determining Regulatory Associations using Graphical models on multi-Omic Networks. Nucleic Acids Research. 51(3). e15–e15. 8 indexed citations

Guebila, Marouen Ben, Camila M. Lopes‐Ramos, Deborah Weighill, et al.. (2021). GRAND: a database of gene regulatory network models across human conditions. Nucleic Acids Research. 50(D1). D610–D621. 43 indexed citations

Weighill, Deborah, Marouen Ben Guebila, Kimberly Glass, et al.. (2021). Gene Targeting in Disease Networks. Frontiers in Genetics. 12. 649942–649942. 12 indexed citations

Weighill, Deborah, Marouen Ben Guebila, Camila M. Lopes‐Ramos, et al.. (2021). Gene Regulatory Network Inference as Relaxed Graph Matching. Proceedings of the AAAI Conference on Artificial Intelligence. 35(11). 10263–10272. 10 indexed citations

Weighill, Deborah, Marouen Ben Guebila, Camila M. Lopes‐Ramos, et al.. (2021). Gene regulatory network inference as relaxed graph matching.. PubMed. 35(11). 10263–10272. 10 indexed citations

Jones, Piet, Deborah Weighill, Manesh Shah, et al.. (2020). Network Modeling of Complex Data Sets. Methods in molecular biology. 2096. 197–215. 4 indexed citations

Weighill, Deborah, Timothy J. Tschaplinski, Gerald A. Tuskan, & Daniel Jacobson. (2019). Data Integration in Poplar: ‘Omics Layers and Integration Strategies. Frontiers in Genetics. 10. 874–874. 14 indexed citations

Weighill, Deborah, David Macaya‐Sanz, Stephen DiFazio, et al.. (2019). Wavelet-Based Genomic Signal Processing for Centromere Identification and Hypothesis Generation. Frontiers in Genetics. 10. 487–487. 8 indexed citations

10.

Weighill, Deborah, Piet Jones, Priya Ranjan, et al.. (2019). Multi-Phenotype Association Decomposition: Unraveling Complex Gene-Phenotype Relationships. Frontiers in Genetics. 10. 417–417. 15 indexed citations

11.

Joubert, Wayne, Deborah Weighill, David Kainer, et al.. (2018). Attacking the opioid epidemic: determining the epistatic and pleiotropic genetic architectures for chronic pain and opioid addiction. IEEE International Conference on High Performance Computing, Data, and Analytics. 57. 9 indexed citations

12.

Tuskan, Gerald A., Ritesh Mewalal, Lee E. Gunter, et al.. (2018). Defining the genetic components of callus formation: A GWAS approach. PLoS ONE. 13(8). e0202519–e0202519. 27 indexed citations

13.

Joubert, Wayne, Deborah Weighill, David Kainer, et al.. (2018). Attacking the Opioid Epidemic: Determining the Epistatic and Pleiotropic Genetic Architectures for Chronic Pain and Opioid Addiction. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 717–730. 18 indexed citations

14.

Lee, Laura L., Sara E. Blumer‐Schuette, Javier A. Izquierdo, et al.. (2018). Genus-Wide Assessment of Lignocellulose Utilization in the Extremely Thermophilic Genus Caldicellulosiruptor by Genomic, Pangenomic, and Metagenomic Analyses. Applied and Environmental Microbiology. 84(9). 31 indexed citations

15.

Bryan, Anthony C., Jin Zhang, Jianjun Guo, et al.. (2018). A Variable Polyglutamine Repeat Affects Subcellular Localization and Regulatory Activity of a Populus ANGUSTIFOLIA Protein. G3 Genes Genomes Genetics. 8(8). 2631–2641. 9 indexed citations

16.

Weighill, Deborah, Piet Jones, Manesh Shah, et al.. (2018). Pleiotropic and Epistatic Network-Based Discovery: Integrated Networks for Target Gene Discovery. Frontiers in Energy Research. 6. 18 indexed citations

17.

Weighill, Deborah & Daniel Jacobson. (2016). Network Metamodeling: Effect of Correlation Metric Choice on Phylogenomic and Transcriptomic Network Topology. Advances in biochemical engineering, biotechnology. 160. 143–183. 6 indexed citations

18.

Zheng, Kaijie, Xiaoping Wang, Deborah Weighill, et al.. (2016). Characterization of DWARF14 Genes in Populus. Scientific Reports. 6(1). 21593–21593. 25 indexed citations

19.

Abraham, Paul E., Hengfu Yin, Anne M. Borland, et al.. (2016). Transcript, protein and metabolite temporal dynamics in the CAM plant Agave. Nature Plants. 2(12). 16178–16178. 116 indexed citations

20.

Weighill, Deborah & Daniel Jacobson. (2015). 3-way Networks: Application of Hypergraphs for Modelling Increased Complexity in Comparative Genomics. PLoS Computational Biology. 11(3). e1004079–e1004079. 9 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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