Melissa Martinez

584 total citations
11 papers, 287 citations indexed

About

Melissa Martinez is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Melissa Martinez has authored 11 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Melissa Martinez's work include Drug Transport and Resistance Mechanisms (3 papers), Adipose Tissue and Metabolism (3 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Melissa Martinez is often cited by papers focused on Drug Transport and Resistance Mechanisms (3 papers), Adipose Tissue and Metabolism (3 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Melissa Martinez collaborates with scholars based in United States, China and Australia. Melissa Martinez's co-authors include John M. Stafford, Christopher H. Emfinger, Brian T. Palmisano, Lin Zhu, Sebastian Carrasco Pro, Juan I. Fuxman Bass, Jared Allan Sewell, Ke Wu, Patrick Pirrotte and Shanna H. Swan and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Endocrinology.

In The Last Decade

Melissa Martinez

10 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa Martinez United States 9 112 64 61 48 46 11 287
Xinliang Ma China 9 252 2.3× 25 0.4× 87 1.4× 38 0.8× 13 0.3× 13 535
Hshi-chi Koo United States 12 247 2.2× 28 0.4× 29 0.5× 45 0.9× 35 0.8× 15 502
Ke Xue China 6 91 0.8× 50 0.8× 67 1.1× 50 1.0× 21 0.5× 7 317
Qinling Zhu China 18 140 1.3× 45 0.7× 56 0.9× 31 0.6× 49 1.1× 34 779
Costas Haitoglou Greece 11 95 0.8× 61 1.0× 35 0.6× 26 0.5× 18 0.4× 24 360
Cecilia Contreras-Cubas Mexico 11 135 1.2× 32 0.5× 26 0.4× 34 0.7× 63 1.4× 28 330
Li Shi China 11 131 1.2× 14 0.2× 19 0.3× 16 0.3× 21 0.5× 26 288
Isao Ichino Japan 7 270 2.4× 47 0.7× 35 0.6× 38 0.8× 156 3.4× 8 560

Countries citing papers authored by Melissa Martinez

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Martinez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Martinez

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

All Works

11 of 11 papers shown
1.
Pirrotte, Patrick, Yate‐Ching Yuan, Nan Jiang, et al.. (2025). Single‐Cell Analysis of L‐Myc Expressing Neural Stem Cells and Their Extracellular Vesicles Revealed Distinct Progenitor Populations With Neurogenic Potential. Journal of Extracellular Biology. 4(11). e70095–e70095.
2.
Sun, Duanchen, Daniel J. Coleman, Tingting Liu, et al.. (2023). CDK9 inhibition induces epigenetic reprogramming revealing strategies to circumvent resistance in lymphoma. Molecular Cancer. 22(1). 64–64. 23 indexed citations
3.
Lesseur, Corina, Khyatiben V. Pathak, Patrick Pirrotte, et al.. (2021). Urinary glyphosate concentration in pregnant women in relation to length of gestation. Environmental Research. 203. 111811–111811. 41 indexed citations
4.
Martinez, Melissa, et al.. (2020). Stimulation of the human mitochondrial transporter ABCB10 by zinc-mesoporphrin. PLoS ONE. 15(11). e0238754–e0238754. 9 indexed citations
5.
Martinez, Melissa, et al.. (2020). Production of a human mitochondrial ABC transporter in E. coli. Protein Expression and Purification. 178. 105778–105778. 5 indexed citations
6.
7.
Pro, Sebastian Carrasco, Kok Ann Gan, Jared Allan Sewell, et al.. (2018). Global landscape of mouse and human cytokine transcriptional regulation. Nucleic Acids Research. 46(18). 9321–9337. 37 indexed citations
8.
Zhu, Lin, Melissa Martinez, Christopher H. Emfinger, Brian T. Palmisano, & John M. Stafford. (2014). Estrogen signaling prevents diet-induced hepatic insulin resistance in male mice with obesity. American Journal of Physiology-Endocrinology and Metabolism. 306(10). E1188–E1197. 94 indexed citations
9.
Palmisano, Brian T., et al.. (2013). Cholesteryl ester transfer protein protects against insulin resistance in obese female mice. Molecular Metabolism. 2(4). 457–467. 23 indexed citations
10.
Martinez, Melissa, Christopher H. Emfinger, Salisha Hill, et al.. (2012). Obesity and altered glucose metabolism impact HDL composition in CETP transgenic mice: a role for ovarian hormones. Journal of Lipid Research. 53(3). 379–389. 30 indexed citations
11.
Wu, Ke, et al.. (2010). Impaired-Inactivation of FoxO1 Contributes to Glucose-Mediated Increases in Serum Very Low-Density Lipoprotein. Endocrinology. 151(8). 3566–3576. 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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2026