Nathan Gomes

596 total citations
9 papers, 452 citations indexed

About

Nathan Gomes is a scholar working on Molecular Biology, Oncology and Virology. According to data from OpenAlex, Nathan Gomes has authored 9 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Virology. Recurrent topics in Nathan Gomes's work include Cancer-related Molecular Pathways (4 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (3 papers). Nathan Gomes is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (3 papers). Nathan Gomes collaborates with scholars based in United States. Nathan Gomes's co-authors include Joaquı́n M. Espinosa, Beverly M. Emerson, Glen A. Bjerke, S.A. Szostek, Briardo Llorente, Vanessa Brès, Katherine A. Jones, Loni Pickle, Tin Tin Su and Barbara Frederick and has published in prestigious journals such as Genes & Development, Cancer Research and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Nathan Gomes

9 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathan Gomes United States	7	390	115	44	42	30	9	452
Tetsu M.C. Yung Canada	8	391 1.0×	155 1.3×	22 0.5×	44 1.0×	35 1.2×	10	495
Edurne Gallastegui Spain	11	249 0.6×	123 1.1×	85 1.9×	43 1.0×	44 1.5×	17	359
Bala S. Balakumaran United States	10	239 0.6×	52 0.5×	32 0.7×	36 0.9×	37 1.2×	12	346
Kohsuke Kato Japan	11	413 1.1×	65 0.6×	12 0.3×	32 0.8×	44 1.5×	29	501
P. Schutz Sweden	7	562 1.4×	96 0.8×	8 0.2×	71 1.7×	27 0.9×	7	640
Daniel Horn‐Ghetko Germany	8	375 1.0×	122 1.1×	18 0.4×	24 0.6×	13 0.4×	10	419
Catherine Berset Switzerland	8	339 0.9×	74 0.6×	11 0.3×	38 0.9×	22 0.7×	12	416
Michael Brent United States	6	283 0.7×	51 0.4×	44 1.0×	59 1.4×	26 0.9×	6	458
Pierre Maisonneuve Canada	11	300 0.8×	84 0.7×	11 0.3×	25 0.6×	18 0.6×	17	357
Margaret Bryans United States	10	298 0.8×	64 0.6×	12 0.3×	32 0.8×	39 1.3×	16	360

Countries citing papers authored by Nathan Gomes

Since Specialization

Citations

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

Fields of papers citing papers by Nathan Gomes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Gomes

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

All Works

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9 of 9 papers shown

1.

Gomes, Nathan, et al.. (2022). A High Throughput Screen with a Clonogenic Endpoint to Identify Radiation Modulators of Cancer. Radiation Research. 199(2). 132–147. 6 indexed citations

2.

Keysar, Stephen B., Nathan Gomes, Bettina Miller, et al.. (2020). Inhibiting Translation Elongation with SVC112 Suppresses Cancer Stem Cells and Inhibits Growth in Head and Neck Squamous Carcinoma. Cancer Research. 80(5). 1183–1198. 16 indexed citations

3.

Gomes, Nathan, et al.. (2015). Bouvardin is a Radiation Modulator with a Novel Mechanism of Action. Radiation Research. 184(4). 392–392. 23 indexed citations

4.

Gomes, Nathan, et al.. (2014). The Role of Translational Regulation in Survival after Radiation Damage; an Opportunity for Proteomics Analysis. Proteomes. 2(2). 272–290. 8 indexed citations

5.

Gomes, Nathan & Joaquı́n M. Espinosa. (2010). Gene-specific repression of the p53 target gene PUMA via intragenic CTCF–Cohesin binding. Genes & Development. 24(10). 1022–1034. 72 indexed citations

6.

Gomes, Nathan & Joaquı́n M. Espinosa. (2010). Disparate chromatin landscapes and kinetics of inactivation impact differential regulation of p53 target genes. Cell Cycle. 9(17). 3428–3437. 18 indexed citations

7.

Gomes, Nathan, Glen A. Bjerke, Briardo Llorente, et al.. (2006). Gene-specific requirement for P-TEFb activity and RNA polymerase II phosphorylation within the p53 transcriptional program. Genes & Development. 20(5). 601–612. 217 indexed citations

8.

Brès, Vanessa, Nathan Gomes, Loni Pickle, & Katherine A. Jones. (2005). A human splicing factor, SKIP, associates with P-TEFb and enhances transcription elongation by HIV-1 Tat. Genes & Development. 19(10). 1211–1226. 91 indexed citations

9.

Gomes, Nathan, Mitchell Garber, & Katherine A. Jones. (2003). Techniques to Analyze the HIV-1 Tat and TAR RNA-Dependent Recruitment and Activation of the Cyclin T1:CDK9 (P-TEFb) Transcription Elongation Factor. Methods in enzymology on CD-ROM/Methods in enzymology. 371. 324–336. 1 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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