Gaye Hattem

1.1k total citations
11 papers, 801 citations indexed

About

Gaye Hattem is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Gaye Hattem has authored 11 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Gaye Hattem's work include Ubiquitin and proteasome pathways (4 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Congenital heart defects research (2 papers). Gaye Hattem is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Congenital heart defects research (2 papers). Gaye Hattem collaborates with scholars based in United States, France and Germany. Gaye Hattem's co-authors include Laurence Florens, Anita Saraf, Rong Li, William D. Bradford, Jin Zhu, Norman Pavelka, Giulia Rancati, Olivier Pourquié, Olivier Tassy and Earl Glynn and has published in prestigious journals such as Nature, PLoS ONE and Development.

In The Last Decade

Gaye Hattem

11 papers receiving 792 citations

Peers

Gaye Hattem

MB

CB

GENET

PS

CR

Arnoud J. Kal Netherlands

Brian Fleharty United States

Monica Boselli United States

Rhonda Trimble United States

Mahamadou Faty Switzerland

Robert Shroff United States

Antonio Hermoso Spain

Benoı̂t Roger France

Kerstin C. Maier Germany

Arnoud J. Kal Netherlands

Gaye Hattem

1.1k ×2.0

MB

106 ×0.4

CB

246 ×1.3

GENET

130 ×0.7

PS

76 ×0.7

CR

Citations per year, relative to Gaye Hattem Gaye Hattem (= 1×) peers Arnoud J. Kal

Countries citing papers authored by Gaye Hattem

Since Specialization

Citations

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

Fields of papers citing papers by Gaye Hattem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaye Hattem

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

All Works

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11 of 11 papers shown

1.

Banks, Charles A.S., Janet L. Thornton, Ying Zhang, et al.. (2020). Differential Complex Formation via Paralogs in the Human Sin3 Protein Interaction Network. Molecular & Cellular Proteomics. 19(9). 1468–1484. 23 indexed citations

2.

Miah, Sayem, Charles A.S. Banks, Edward T. Bagu, et al.. (2019). BRK phosphorylates SMAD4 for proteasomal degradation and inhibits tumor suppressor FRK to control SNAIL, SLUG, and metastatic potential. Science Advances. 5(10). eaaw3113–eaaw3113. 12 indexed citations

3.

Banks, Charles A.S., Gina Boanca, Gaye Hattem, et al.. (2016). TNIP2 is a Hub Protein in the NF-κB Network with Both Protein and RNA Mediated Interactions. Molecular & Cellular Proteomics. 15(11). 3435–3449. 22 indexed citations

4.

Lakshminarasimhan, Mahadevan, Gina Boanca, Charles A.S. Banks, et al.. (2016). Proteomic and Genomic Analyses of the Rvb1 and Rvb2 Interaction Network upon Deletion of R2TP Complex Components. Molecular & Cellular Proteomics. 15(3). 960–974. 9 indexed citations

5.

Banks, Charles A.S., Gina Boanca, Mahadevan Lakshminarasimhan, et al.. (2014). Controlling for Gene Expression Changes in Transcription Factor Protein Networks. Molecular & Cellular Proteomics. 13(6). 1510–1522. 20 indexed citations

6.

Lu, Shuai, Kenneth K Lee, Bethany D. Harris, et al.. (2014). The cohesin acetyltransferase Eco1 coordinates rDNA replication and transcription. EMBO Reports. 15(5). 609–617. 23 indexed citations

7.

Roellig, Daniela, Mary‐Lee Dequéant, Olivier Tassy, et al.. (2011). Evolutionary plasticity of segmentation clock networks. Development. 138(13). 2783–2792. 148 indexed citations

8.

Pavelka, Norman, Giulia Rancati, Jin Zhu, et al.. (2010). Aneuploidy confers quantitative proteome changes and phenotypic variation in budding yeast. Nature. 468(7321). 321–325. 448 indexed citations

9.

Mathur, Sachin, et al.. (2010). Sex-dimorphic gene expression and ineffective dosage compensation of Z-linked genes in gastrulating chicken embryos. BMC Genomics. 11(1). 13–13. 58 indexed citations

10.

Roellig, Daniela, Mary‐Lee Dequéant, Olivier Tassy, et al.. (2009). 15-P018 A phase-ordered microarray screen for cyclic genes in zebrafish reveals her genes as the conserved core of the somitogenesis clock. Mechanisms of Development. 126. S252–S253. 2 indexed citations

11.

Ahnert, Sebastian E., Herbert Edelsbrunner, Thomas Fink, et al.. (2008). Comparison of Pattern Detection Methods in Microarray Time Series of the Segmentation Clock. PLoS ONE. 3(8). e2856–e2856. 36 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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