Nicholas A. Graham

3.1k total citations
40 papers, 1.8k citations indexed

About

Nicholas A. Graham is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Nicholas A. Graham has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 10 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Nicholas A. Graham's work include Cancer, Hypoxia, and Metabolism (9 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Cancer-related gene regulation (5 papers). Nicholas A. Graham is often cited by papers focused on Cancer, Hypoxia, and Metabolism (9 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Cancer-related gene regulation (5 papers). Nicholas A. Graham collaborates with scholars based in United States, United Kingdom and Japan. Nicholas A. Graham's co-authors include Thomas G. Graeber, Evangelia Komisopoulou, Heather R. Christofk, Daniel Braas, Alireza Delfarah, Antoni Ribas, Anand R. Asthagiri, Siavash K. Kurdistani, William E. Lowry and Frank McCormick and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Nicholas A. Graham

40 papers receiving 1.7k 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 A. Graham United States 21 1.1k 433 360 266 224 40 1.8k
Andrew Pierce United Kingdom 23 1.3k 1.2× 423 1.0× 270 0.8× 254 1.0× 120 0.5× 69 2.2k
Alessandro Cuomo Italy 24 1.8k 1.6× 350 0.8× 250 0.7× 252 0.9× 113 0.5× 48 2.3k
Hong Lok Lung Hong Kong 29 1.3k 1.2× 680 1.6× 557 1.5× 240 0.9× 161 0.7× 56 2.1k
Javad Nazarian United States 29 1.3k 1.2× 314 0.7× 439 1.2× 195 0.7× 207 0.9× 124 2.5k
William Howat United Kingdom 20 1.0k 0.9× 639 1.5× 307 0.9× 371 1.4× 213 1.0× 36 2.2k
Nozomi Yamaguchi Japan 27 905 0.8× 377 0.9× 303 0.8× 262 1.0× 234 1.0× 71 2.2k
Ge Zhou United States 17 1.1k 1.1× 380 0.9× 300 0.8× 137 0.5× 183 0.8× 32 1.8k
Steven M. Mooney United States 21 1.2k 1.1× 550 1.3× 418 1.2× 210 0.8× 192 0.9× 27 1.7k
Sarah Hanrahan United Kingdom 17 1.2k 1.1× 234 0.5× 370 1.0× 205 0.8× 169 0.8× 24 1.8k
Florian Grebien Austria 25 1.3k 1.2× 450 1.0× 195 0.5× 323 1.2× 107 0.5× 62 2.4k

Countries citing papers authored by Nicholas A. Graham

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas A. Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas A. Graham

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas A. Graham. A scholar is included among the top collaborators of Nicholas A. Graham 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 A. Graham. Nicholas A. Graham 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.
Kim, Su‐Jeong, Brendan Miller, Ricardo Ramírez, et al.. (2024). A naturally occurring variant of SHLP2 is a protective factor in Parkinson’s disease. Molecular Psychiatry. 29(2). 505–517. 9 indexed citations
2.
3.
MacMullan, Melanie A., Pin Wang, & Nicholas A. Graham. (2022). Phospho-proteomics reveals that RSK signaling is required for proliferation of natural killer cells stimulated with IL-2 or IL-15. Cytokine. 157. 155958–155958. 4 indexed citations
4.
Lu, Vivian, et al.. (2022). Glutamine-dependent signaling controls pluripotent stem cell fate. Developmental Cell. 57(5). 610–623.e8. 14 indexed citations
5.
Raveh, Barak, Kate L. White, Tanmoy Sanyal, et al.. (2021). Bayesian metamodeling of complex biological systems across varying representations. Proceedings of the National Academy of Sciences. 118(35). 25 indexed citations
6.
Graham, Nicholas A., et al.. (2021). The landscape of metabolic pathway dependencies in cancer cell lines. PLoS Computational Biology. 17(4). e1008942–e1008942. 12 indexed citations
7.
Sussman, Jonathan, et al.. (2020). AKT but not MYC promotes reactive oxygen species-mediated cell death in oxidative culture. Journal of Cell Science. 133(7). 11 indexed citations
8.
Lowry, William E., et al.. (2020). Differential Gene Set Enrichment Analysis: a statistical approach to quantify the relative enrichment of two gene sets. Bioinformatics. 36(21). 5247–5254. 24 indexed citations
9.
Zhang, Xiaoyang, et al.. (2020). Photo-Triggered Delivery of siRNA and Paclitaxel into Breast Cancer Cells Using Catanionic Vesicles. ACS Applied Bio Materials. 3(11). 7388–7398. 13 indexed citations
10.
Flores, Aimee, Rie Takahashi, Abigail S. Krall, et al.. (2019). Increased lactate dehydrogenase activity is dispensable in squamous carcinoma cells of origin. Nature Communications. 10(1). 91–91. 36 indexed citations
11.
Delfarah, Alireza, Jason A. Junge, Si Li, et al.. (2019). Inhibition of nucleotide synthesis promotes replicative senescence of human mammary epithelial cells. Journal of Biological Chemistry. 294(27). 10564–10578. 37 indexed citations
12.
Cheng, Larry C., Zhen Li, Thomas G. Graeber, Nicholas A. Graham, & Justin M. Drake. (2018). Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer. Journal of Visualized Experiments. 9 indexed citations
13.
Rohrs, Jennifer A., et al.. (2018). Computational Model of Chimeric Antigen Receptors Explains Site-Specific Phosphorylation Kinetics. Biophysical Journal. 115(6). 1116–1129. 37 indexed citations
14.
Wilkinson, Brent, Oleg V. Evgrafov, James A. Knowles, et al.. (2018). Endogenous Cell Type–Specific Disrupted in Schizophrenia 1 Interactomes Reveal Protein Networks Associated With Neurodevelopmental Disorders. Biological Psychiatry. 85(4). 305–316. 24 indexed citations
15.
Flores, Aimee, John C. Schell, Abigail S. Krall, et al.. (2017). Lactate dehydrogenase activity drives hair follicle stem cell activation. Nature Cell Biology. 19(9). 1017–1026. 209 indexed citations
16.
Koya, Richard C., Stephen Mok, Nicholas Otte, et al.. (2012). BRAF Inhibitor Vemurafenib Improves the Antitumor Activity of Adoptive Cell Immunotherapy. Cancer Research. 72(16). 3928–3937. 187 indexed citations
17.
Steele, Jane C., A S Rao, Jerry Marsden, et al.. (2011). Phase I/II trial of a dendritic cell vaccine transfected with DNA encoding melan A and gp100 for patients with metastatic melanoma. Gene Therapy. 18(6). 584–593. 39 indexed citations
18.
Kim, Jin‐Hong, Keiichiro Kushiro, Nicholas A. Graham, & Anand R. Asthagiri. (2009). Tunable interplay between epidermal growth factor and cell–cell contact governs the spatial dynamics of epithelial growth. Proceedings of the National Academy of Sciences. 106(27). 11149–11153. 56 indexed citations
19.
Graham, Nicholas A., et al.. (2008). Automated quantitative analysis of epithelial cell scatter. Cell Adhesion & Migration. 2(2). 110–116. 9 indexed citations
20.

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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