Nicholas T. Woods

1.7k total citations
40 papers, 858 citations indexed

About

Nicholas T. Woods is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Nicholas T. Woods has authored 40 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 11 papers in Cell Biology and 10 papers in Oncology. Recurrent topics in Nicholas T. Woods's work include DNA Repair Mechanisms (10 papers), Ubiquitin and proteasome pathways (7 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Nicholas T. Woods is often cited by papers focused on DNA Repair Mechanisms (10 papers), Ubiquitin and proteasome pathways (7 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Nicholas T. Woods collaborates with scholars based in United States, Brazil and Italy. Nicholas T. Woods's co-authors include Álvaro N.A. Monteiro, Hong‐Gang Wang, Hirohito Yamaguchi, Kapil N. Bhalla, Marcelo A. Carvalho, Francis Y. Lee, Edwin S. Iversen, Heng‐Huan Lee, Rebekah Baskin and Rafael D. Mesquita and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Nicholas T. Woods

39 papers receiving 849 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas T. Woods United States 17 614 236 137 110 93 40 858
Christina Gewinner United Kingdom 11 600 1.0× 205 0.9× 98 0.7× 85 0.8× 127 1.4× 14 821
Romi Gupta United States 19 650 1.1× 215 0.9× 185 1.4× 84 0.8× 57 0.6× 50 945
Mayuko Omori United States 10 883 1.4× 294 1.2× 122 0.9× 85 0.8× 70 0.8× 14 1.2k
Marieke Aarts Netherlands 14 628 1.0× 239 1.0× 114 0.8× 82 0.7× 108 1.2× 17 818
Marta Mendes Portugal 17 546 0.9× 233 1.0× 143 1.0× 45 0.4× 95 1.0× 31 949
Stacey L. Hembruff United States 16 583 0.9× 351 1.5× 149 1.1× 47 0.4× 112 1.2× 23 890
Julie L.C. Kan United States 18 778 1.3× 227 1.0× 118 0.9× 76 0.7× 58 0.6× 24 1.0k
Ding-Yen Lin Taiwan 11 702 1.1× 170 0.7× 115 0.8× 138 1.3× 73 0.8× 15 854
Krista M. Vincent Canada 17 467 0.8× 206 0.9× 152 1.1× 86 0.8× 65 0.7× 28 730
Apoorva Baluapuri Germany 18 886 1.4× 250 1.1× 145 1.1× 46 0.4× 138 1.5× 25 1.1k

Countries citing papers authored by Nicholas T. Woods

Since Specialization
Citations

This map shows the geographic impact of Nicholas T. Woods'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 Nicholas T. Woods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas T. Woods more than expected).

Fields of papers citing papers by Nicholas T. Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas T. Woods. 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 Nicholas T. Woods. The network helps show where Nicholas T. Woods may publish in the future.

Co-authorship network of co-authors of Nicholas T. Woods

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

All Works

20 of 20 papers shown
1.
Lum, Michelle A., Surendra Parmar, Adrian R. Black, et al.. (2025). Small-molecule modulators of B56-PP2A restore 4E-BP function to suppress eIF4E-dependent translation in cancer cells. Journal of Clinical Investigation. 135(4).
2.
Wan, Shibiao, Bhopal Mohapatra, Nicholas T. Woods, et al.. (2023). USP1 Expression Driven by EWS::FLI1 Transcription Factor Stabilizes Survivin and Mitigates Replication Stress in Ewing Sarcoma. Molecular Cancer Research. 21(11). 1186–1204. 12 indexed citations
3.
Plewes, Michele R., Heather Talbott, Anthony J. Saviola, et al.. (2023). Luteal Lipid Droplets: A Novel Platform for Steroid Synthesis. Endocrinology. 164(9). 5 indexed citations
4.
Chee, Linda, et al.. (2022). Functional requirements for a Samd14-capping protein complex in stress erythropoiesis. eLife. 11. 4 indexed citations
5.
Kour, Smit, Sandeep Rana, Smitha Kizhake, et al.. (2022). Spirocyclic dimer SpiD7 activates the unfolded protein response to selectively inhibit growth and induce apoptosis of cancer cells. Journal of Biological Chemistry. 298(5). 101890–101890. 8 indexed citations
6.
Bhatia, Rakesh, Christopher M. Thompson, Koelina Ganguly, et al.. (2022). Malondialdehyde-Acetaldehyde Extracellular Matrix Protein Adducts Attenuate Unfolded Protein Response During Alcohol and Smoking–Induced Pancreatitis. Gastroenterology. 163(4). 1064–1078.e10. 14 indexed citations
7.
Mendoza-Fandiño, Gustavo, Paulo C. Lyra, Carly M. Harro, et al.. (2021). Two distinct mechanisms underlie estrogen-receptor-negative breast cancer susceptibility at the 2p23.2 locus. European Journal of Human Genetics. 30(4). 465–473. 2 indexed citations
8.
Casey, Carol A., Terrence M. Donohue, Vikas Kumar, et al.. (2021). Lipid droplet membrane proteome remodeling parallels ethanol-induced hepatic steatosis and its resolution. Journal of Lipid Research. 62. 100049–100049. 17 indexed citations
9.
Law, Henry C.-H., Fangfang Qiao, Diane Costanzo-Garvey, et al.. (2019). The Proteomic Landscape of Pancreatic Ductal Adenocarcinoma Liver Metastases Identifies Molecular Subtypes and Associations with Clinical Response. Clinical Cancer Research. 26(5). 1065–1076. 44 indexed citations
10.
11.
Li, Xueli, Toshiyasu Taniguchi, Keith R. Johnson, et al.. (2019). CTDP1 regulates breast cancer survival and DNA repair through BRCT-specific interactions with FANCI. Cell Death Discovery. 5(1). 105–105. 14 indexed citations
12.
13.
Woods, Nicholas T., Gabriëla Wright, Lily L. Remsing Rix, et al.. (2016). PAXIP1 Potentiates the Combination of WEE1 Inhibitor AZD1775 and Platinum Agents in Lung Cancer. Molecular Cancer Therapeutics. 15(7). 1669–1681. 21 indexed citations
14.
Woods, Nicholas T., Rebekah Baskin, Volha A. Golubeva, et al.. (2016). Functional assays provide a robust tool for the clinical annotation of genetic variants of uncertain significance. npj Genomic Medicine. 1(1). 65 indexed citations
15.
Buckley, Melissa A., Anxhela Gjyshi, Gustavo Mendoza-Fandiño, et al.. (2015). Enhancer scanning to locate regulatory regions in genomic loci. Nature Protocols. 11(1). 46–60. 10 indexed citations
16.
Gerloff, Dietlind L., et al.. (2012). BRCT domains: A little more than kin, and less than kind. FEBS Letters. 586(17). 2711–2716. 39 indexed citations
17.
Mesquita, Rafael D., et al.. (2010). Tandem BRCT Domains: DNA's Praetorian Guard. Genes & Cancer. 1(11). 1140–1146. 16 indexed citations
18.
Yamaguchi, Hirohito, Nicholas T. Woods, Jay F. Dorsey, et al.. (2008). Src Directly Phosphorylates Bif-1 and Prevents Its Interaction with Bax and the Initiation of Anoikis. Journal of Biological Chemistry. 283(27). 19112–19118. 24 indexed citations
19.
Woods, Nicholas T., Hirohito Yamaguchi, Francis Y. Lee, Kapil N. Bhalla, & Hong‐Gang Wang. (2007). Anoikis, Initiated by Mcl-1 Degradation and Bim Induction, Is Deregulated during Oncogenesis. Cancer Research. 67(22). 10744–10752. 87 indexed citations
20.
Ren, Yuan, Zhengming Chen, Liwei Chen, et al.. (2007). Shp2E76K Mutant Confers Cytokine-independent Survival of TF-1 Myeloid Cells by Up-regulating Bcl-XL. Journal of Biological Chemistry. 282(50). 36463–36473. 15 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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