Gregory S. Downs

979 total citations · 1 hit paper
8 papers, 683 citations indexed

About

Gregory S. Downs is a scholar working on Molecular Biology, Plant Science and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gregory S. Downs has authored 8 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gregory S. Downs's work include Plant Molecular Biology Research (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Plant Gene Expression Analysis (2 papers). Gregory S. Downs is often cited by papers focused on Plant Molecular Biology Research (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Plant Gene Expression Analysis (2 papers). Gregory S. Downs collaborates with scholars based in Canada, United States and Egypt. Gregory S. Downs's co-authors include Gilbert G. Privé, P.J. Stogios, Lewis Lukens, Yong‐Mei Bi, Steven J. Rothstein, Joseph Colasanti, Tong Zhu, Wenqing Wu, Xi Chen and Xuejiang Shi and has published in prestigious journals such as PLANT PHYSIOLOGY, Genome biology and Journal of Clinical Pathology.

In The Last Decade

Gregory S. Downs

8 papers receiving 678 citations

Hit Papers

Sequence and structural analysis of BTB domain proteins 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory S. Downs Canada 5 476 217 96 59 57 8 683
Raul Salinas United States 13 528 1.1× 261 1.2× 129 1.3× 46 0.8× 64 1.1× 24 869
Hélène Eckert United States 5 1.1k 2.3× 321 1.5× 215 2.2× 66 1.1× 45 0.8× 5 1.4k
Lamia Wahba United States 6 735 1.5× 128 0.6× 111 1.2× 34 0.6× 24 0.4× 9 832
Stella R. Hartono United States 14 1.3k 2.6× 179 0.8× 188 2.0× 66 1.1× 70 1.2× 21 1.4k
Saverio Brogna United Kingdom 19 1.0k 2.2× 105 0.5× 116 1.2× 72 1.2× 25 0.4× 29 1.2k
François Juge France 15 574 1.2× 170 0.8× 105 1.1× 117 2.0× 20 0.4× 20 716
Bénédicte Franco Belgium 8 613 1.3× 200 0.9× 85 0.9× 127 2.2× 31 0.5× 8 782
Nicholas J. McGlincy United Kingdom 8 843 1.8× 89 0.4× 54 0.6× 37 0.6× 28 0.5× 9 949
Patrick J. DiMario United States 16 605 1.3× 63 0.3× 78 0.8× 68 1.2× 51 0.9× 33 740
Rakhee Banerjee United States 10 812 1.7× 103 0.5× 139 1.4× 59 1.0× 36 0.6× 22 1.0k

Countries citing papers authored by Gregory S. Downs

Since Specialization
Citations

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

Fields of papers citing papers by Gregory S. Downs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory S. Downs. 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 Gregory S. Downs. The network helps show where Gregory S. Downs may publish in the future.

Co-authorship network of co-authors of Gregory S. Downs

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

All Works

8 of 8 papers shown
1.
Sabatini, Peter, Joshua Bridgers, Shujun Huang, et al.. (2024). Multisite clinical cross-validation and variant interpretation of a next generation sequencing panel for lymphoid cancer prognostication. Journal of Clinical Pathology. 78(3). 187–194. 2 indexed citations
2.
Downs, Gregory S., Olivia King, Shabnam Salehi‐Rad, et al.. (2024). Genomic Characterization of Partial Tandem Duplication Involving the KMT2A Gene in Adult Acute Myeloid Leukemia. Cancers. 16(9). 1693–1693. 4 indexed citations
3.
Oldfield, Leslie E., Elizabeth Chao, Gregory S. Downs, et al.. (2022). VHL mosaicism: the added value of multi-tissue analysis. npj Genomic Medicine. 7(1). 21–21. 11 indexed citations
4.
Downs, Gregory S., Christophe Liseron-Monfils, & Lewis Lukens. (2014). Regulatory motifs identified from a maize developmental coexpression network. Genome. 57(3). 181–184. 3 indexed citations
5.
Bi, Yong‐Mei, Gregory S. Downs, Xuejiang Shi, et al.. (2014). High throughput RNA sequencing of a hybrid maize and its parents shows different mechanisms responsive to nitrogen limitation. BMC Genomics. 15(1). 77–77. 31 indexed citations
6.
Liseron-Monfils, Christophe, Yong‐Mei Bi, Gregory S. Downs, et al.. (2013). Nitrogen transporter and assimilation genes exhibit developmental stage-selective expression in maize (Zea maysL.) associated with distinctcis-acting promoter motifs. Plant Signaling & Behavior. 8(10). e26056–e26056. 20 indexed citations
7.
Downs, Gregory S., Yong‐Mei Bi, Joseph Colasanti, et al.. (2013). A Developmental Transcriptional Network for Maize Defines Coexpression Modules      . PLANT PHYSIOLOGY. 161(4). 1830–1843. 78 indexed citations
8.
Stogios, P.J., et al.. (2005). Sequence and structural analysis of BTB domain proteins. Genome biology. 6(10). R82–R82. 534 indexed citations breakdown →

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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