Matthew J. Marton

25.1k total citations · 4 hit papers
45 papers, 10.6k citations indexed

About

Matthew J. Marton is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Matthew J. Marton has authored 45 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 21 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in Matthew J. Marton's work include Cancer Genomics and Diagnostics (11 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Molecular Biology Techniques and Applications (7 papers). Matthew J. Marton is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Molecular Biology Techniques and Applications (7 papers). Matthew J. Marton collaborates with scholars based in United States, Denmark and United Kingdom. Matthew J. Marton's co-authors include Hongyue Dai, Stephen Friend, Yudong D. He, Augustinus A. M. Hart, Mao Mao, Chris Roberts, Marc J. van de Vijver, George J. Schreiber, Anke Witteveen and Peter S. Linsley and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Matthew J. Marton

42 papers receiving 10.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Gene expression profiling predicts clinical outcome of breast cancer

2002 7.0k citations Hongyue Dai, Yudong D. He et al. profile →
Signaling and Circuitry of Multiple MAPK Pathways Revealed by a Matrix of Global Gene Expression Profiles

2000 691 citations Christopher J. Roberts, Bryce Nelson et al. Science profile →
Transcriptional Profiling Shows that Gcn4p Is a Master Regulator of Gene Expression during Amino Acid Starvation in Yeast

2001 598 citations Michael R. Meyer, David Slade et al. Molecular and Cellular Biology profile →
Drug target validation and identification of secondary drug target effects using DNA microarrays

1998 479 citations Matthew J. Marton, Joseph L. DeRisi et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew J. Marton United States	18	7.5k	2.8k	2.5k	1.4k	767	45	10.6k
Yudong D. He United States	27	6.8k 0.9×	3.2k 1.1×	2.8k 1.1×	1.3k 0.9×	828 1.1×	49	10.6k
Mao Mao United States	37	8.6k 1.1×	3.6k 1.3×	2.8k 1.2×	1.5k 1.1×	1.1k 1.4×	108	13.5k
Eivind Hovig Norway	46	6.0k 0.8×	2.3k 0.8×	2.2k 0.9×	1.1k 0.8×	781 1.0×	218	8.9k
Manfred Schwab Germany	48	8.1k 1.1×	2.9k 1.0×	2.5k 1.0×	2.2k 1.7×	667 0.9×	150	12.4k
Hongyue Dai United States	34	9.3k 1.2×	4.4k 1.6×	3.4k 1.4×	1.5k 1.1×	1.1k 1.4×	66	14.2k
Jeffrey T. Chang United States	38	6.6k 0.9×	1.6k 0.6×	1.5k 0.6×	888 0.7×	657 0.9×	109	9.5k
Benjamin J. Raphael United States	40	6.5k 0.9×	3.5k 1.2×	1.5k 0.6×	1.8k 1.3×	839 1.1×	127	8.9k
Joshua M. Stuart United States	40	9.8k 1.3×	3.5k 1.3×	1.7k 0.7×	1.3k 1.0×	1.8k 2.3×	108	13.6k
Shridar Ganesan United States	52	7.8k 1.0×	3.1k 1.1×	3.5k 1.4×	1.6k 1.2×	1.4k 1.8×	204	12.7k
Ron Kerkhoven Netherlands	40	10.8k 1.4×	3.5k 1.3×	4.7k 1.9×	1.9k 1.4×	955 1.2×	77	15.4k

Countries citing papers authored by Matthew J. Marton

Since Specialization

Citations

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

Fields of papers citing papers by Matthew J. Marton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Marton. 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 Matthew J. Marton. The network helps show where Matthew J. Marton may publish in the future.

Co-authorship network of co-authors of Matthew J. Marton

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

All Works

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20 of 20 papers shown

Cristescu, Răzvan, Xiao Qiao Liu, Gladys Arreaza, et al.. (2022). Concordance between single-nucleotide polymorphism–based genomic instability assays and a next-generation sequencing–based homologous recombination deficiency test. BMC Cancer. 22(1). 1310–1310. 5 indexed citations

Steiniche, Torben, Morten Ladekarl, Simon Andreasen, et al.. (2020). Association of PD-L1 Expression with Prognosis Among Patients with Ten Uncommon Advanced Cancers. Future Science OA. 6(8). FSO616–FSO616. 9 indexed citations

Høgdall, Estrid, Claus Høgdall, Wei Zhou, et al.. (2020). Impact of PD-L1 and T-cell inflamed gene expression profile on survival in advanced ovarian cancer. International Journal of Gynecological Cancer. 30(7). 1034–1042. 8 indexed citations

Antonarakis, Emmanuel S., Marine Gross‐Goupil, Jeffrey C. Goh, et al.. (2020). Biomarker analysis from the KEYNOTE-199 trial of pembrolizumab in patients (pts) with docetaxel-refractory metastatic castration-resistant prostate cancer (mCRPC).. Journal of Clinical Oncology. 38(15_suppl). 5526–5526. 11 indexed citations

Steiniche, Torben, Sun Young Rha, Hyun Cheol Chung, et al.. (2019). T-cell–inflamed gene expression profile (GEP) and PD-L1 expression in patients (pts) with esophageal cancer (EC).. Journal of Clinical Oncology. 37(4_suppl). 26–26.

Wallden, Brett, Irena Pekker, Naeem Dowidar, et al.. (2016). Development and analytical performance of a molecular diagnostic for anti-PD1 response on the nCounter Dx Analysis System.. Journal of Clinical Oncology. 34(15_suppl). 3034–3034. 16 indexed citations

Marton, Matthew J., et al.. (2015). Analytical Validation of AmpliChip p53 Research Test for Archival Human Ovarian FFPE Sections. PLoS ONE. 10(6). e0131497–e0131497. 3 indexed citations

Lejnine, Serguei, Matthew J. Marton, Bonnie J. Howell, et al.. (2014). Gene expression analysis in serial liver fine needle aspirates. Journal of Viral Hepatitis. 22(1). 64–76. 7 indexed citations

Chang, Ken C. N., Stefan Galuska, Russell Weiner, & Matthew J. Marton. (2013). Development and Validation of a Clinical Trial Patient Stratification Assay That Interrogates 27 Mutation Sites in MAPK Pathway Genes. PLoS ONE. 8(8). e72239–e72239. 1 indexed citations

10.

Winrow, Christopher J., Keith Q. Tanis, Alison Rigby, et al.. (2009). Refined anatomical isolation of functional sleep circuits exhibits distinctive regional and circadian gene transcriptional profiles. Brain Research. 1271. 1–17. 13 indexed citations

11.

Duenwald, Sven, Mingjie Zhou, Yanqun Wang, et al.. (2009). Development of a microarray platform for FFPET profiling: application to the classification of human tumors. Journal of Translational Medicine. 7(1). 65–65. 14 indexed citations

12.

Fare, Thomas L., Ernest M. Coffey, Hongyue Dai, et al.. (2003). Effects of Atmospheric Ozone on Microarray Data Quality. Analytical Chemistry. 75(17). 4672–4675. 166 indexed citations

13.

Anand, Monika, Kalpana Chakraburtty, Matthew J. Marton, Alan G. Hinnebusch, & Terri Goss Kinzy. (2003). Functional Interactions between Yeast Translation Eukaryotic Elongation Factor (eEF) 1A and eEF3. Journal of Biological Chemistry. 278(9). 6985–6991. 57 indexed citations

14.

Bangur, Chaitanya, et al.. (2002). Identification of genes over-expressed in small cell lung carcinoma using suppression subtractive hybridization and cDNA microarray expression analysis. Oncogene. 21(23). 3814–3825. 54 indexed citations

15.

Nelson, Bryce, et al.. (2001). Role of scaffolds in MAP kinase pathway specificity revealed by custom design of pathway-dedicated signaling proteins. Current Biology. 11(23). 1815–1824. 94 indexed citations

16.

Hughes, Timothy R., Chris Roberts, Hongyue Dai, et al.. (2000). Widespread aneuploidy revealed by DNA microarray expression profiling. Nature Genetics. 25(3). 333–337. 384 indexed citations

17.

Roberts, Christopher J., Bryce Nelson, Matthew J. Marton, et al.. (2000). Signaling and Circuitry of Multiple MAPK Pathways Revealed by a Matrix of Global Gene Expression Profiles. Science. 287(5454). 873–880. 691 indexed citations breakdown →

18.

Marton, Matthew J., Joseph L. DeRisi, Vishwanath R. Iyer, et al.. (1998). Drug target validation and identification of secondary drug target effects using DNA microarrays. Nature Medicine. 4(11). 1293–1301. 479 indexed citations breakdown →

19.

Marton, Matthew J., Carlos R. Vázquez de Aldana, Hongfang Qiu, Kalpana Chakraburtty, & Alan G. Hinnebusch. (1997). Evidence that GCN1 and GCN20, Translational Regulators of GCN4 , Function on Elongating Ribosomes in Activation of eIF2α Kinase GCN2. Molecular and Cellular Biology. 17(8). 4474–4489. 184 indexed citations

20.

Marton, Matthew J., et al.. (1964). COUNTERACTION TO AND PREVENTION OF, DIFFERENT ANXIETY TYPES IN ASTHMATIC, CARDIAC NEUROTIC AND HYPERTENSIVE CHILDREN.. PubMed. 31. 157–61. 2 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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