Matthew N. McCall

3.4k total citations
61 papers, 1.7k citations indexed

About

Matthew N. McCall is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matthew N. McCall has authored 61 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 16 papers in Cancer Research and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matthew N. McCall's work include Gene expression and cancer classification (14 papers), Molecular Biology Techniques and Applications (14 papers) and MicroRNA in disease regulation (12 papers). Matthew N. McCall is often cited by papers focused on Gene expression and cancer classification (14 papers), Molecular Biology Techniques and Applications (14 papers) and MicroRNA in disease regulation (12 papers). Matthew N. McCall collaborates with scholars based in United States, United Kingdom and Chile. Matthew N. McCall's co-authors include Marc K. Halushka, Rafael A. Irizarry, Toby C. Cornish, Oliver A. Kent, Harris A. Jaffee, Anthony Almudevar, Michael J. Zilliox, Helene R. McMurray, Hartmut Land and Karan Uppal and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Matthew N. McCall

58 papers receiving 1.7k citations

Peers

Matthew N. McCall

IMMUN

SURGE

EPIDE

Zhengyu Fang China

Ziwei Wang China

Jacek Biesiada United States

Hatice Gülçin Özer United States

Yufeng Yao China

Davide Corà Italy

Kai Ruan United States

Ning Chang China

Xiaowen Chen China

Zhengyu Fang China

Matthew N. McCall

1.1k ×1.0

662 ×1.0

197 ×1.4

IMMUN

111 ×0.9

SURGE

160 ×1.3

EPIDE

Citations per year, relative to Matthew N. McCall Matthew N. McCall (= 1×) peers Zhengyu Fang

Countries citing papers authored by Matthew N. McCall

Since Specialization

Citations

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

Fields of papers citing papers by Matthew N. McCall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew N. McCall

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Douglas, James C., et al.. (2024). Developmental Ethanol Exposure Impacts Purkinje Cells but Not Microglia in the Young Adult Cerebellum. Cells. 13(5). 386–386. 8 indexed citations

Alexander, W. Brock, Wenjia Wang, Margaret Hill, et al.. (2024). Smad4 restricts injury-provoked biliary proliferation and carcinogenesis. Disease Models & Mechanisms. 17(6). 5 indexed citations

McCall, Matthew N., et al.. (2024). Exon-Skipping–Based Subtyping of Colorectal Cancers. Gastroenterology. 167(7). 1358–1370.e12. 1 indexed citations

McCall, Matthew N., et al.. (2024). The Correlation between Age at Implant, Consistent Device Use, and Language Outcomes for Children Implanted under 18 Months. Audiology and Neurotology. 30(3). 197–206.

McCall, Matthew N., et al.. (2023). Cortical microglia dynamics are conserved during voluntary wheel running. Journal of Applied Physiology. 136(1). 89–108. 2 indexed citations

Douglas, James C., et al.. (2023). Developmental ethanol exposure has minimal impact on cerebellar microglial dynamics, morphology, and interactions with Purkinje cells during adolescence. Frontiers in Neuroscience. 17. 1176581–1176581. 7 indexed citations

Patil, Arun H., et al.. (2022). A curated human cellular microRNAome based on 196 primary cell types. GigaScience. 11. 19 indexed citations

McCall, Matthew N., Chin‐Yi Chu, Juilee Thakar, et al.. (2021). A systems genomics approach uncovers molecular associates of RSV severity. PLoS Computational Biology. 17(12). e1009617–e1009617. 6 indexed citations

Lim, Yunki, Brandon Berry, Matthew N. McCall, et al.. (2021). FNDC-1-mediated mitophagy and ATFS-1 coordinate to protect against hypoxia-reoxygenation. Autophagy. 17(11). 3389–3401. 19 indexed citations

10.

Verma, Rohan, Suraj Kannan, Brian L. Lin, et al.. (2021). Single cell RNA-seq analysis of the flexor digitorum brevis mouse myofibers. Skeletal Muscle. 11(1). 13–13. 2 indexed citations

11.

McCall, Matthew N., et al.. (2020). Autoregressive modeling and diagnostics for qPCR amplification. Bioinformatics. 36(22-23). 5386–5391. 1 indexed citations

12.

Wang, Yves T., Yunki Lim, Matthew N. McCall, et al.. (2019). Cardioprotection by the mitochondrial unfolded protein response requires ATF5. American Journal of Physiology-Heart and Circulatory Physiology. 317(2). H472–H478. 99 indexed citations

13.

Zhang, Yun, et al.. (2019). The effect of tissue composition on gene co-expression. Briefings in Bioinformatics. 22(1). 127–139. 15 indexed citations

14.

Walsh, Edward E., Thomas J. Mariani, Chin‐Yi Chu, et al.. (2019). Aims, Study Design, and Enrollment Results From the Assessing Predictors of Infant Respiratory Syncytial Virus Effects and Severity Study. JMIR Research Protocols. 8(6). e12907–e12907. 7 indexed citations

15.

Rosenberg, Avi Z., Carrie Wright, Karen Fox-Talbot, et al.. (2018). xMD-miRNA-seq to generate near in vivo miRNA expression estimates in colon epithelial cells. Scientific Reports. 8(1). 9783–9783. 7 indexed citations

16.

Hill, Margaret, W. Brock Alexander, Bing Guo, et al.. (2018). Kras and Tp53 Mutations Cause Cholangiocyte- and Hepatocyte-Derived Cholangiocarcinoma. Cancer Research. 78(16). 4445–4451. 80 indexed citations

17.

McCall, Matthew N., Min‐Sik Kim, Arun H. Patil, et al.. (2017). Toward the human cellular microRNAome. Genome Research. 27(10). 1769–1781. 112 indexed citations

18.

Kent, Oliver A., Matthew N. McCall, Toby C. Cornish, & Marc K. Halushka. (2014). SURVEY AND SUMMARY Lessons from miR-143/145: the importance of cell-type localization of miRNAs. 1 indexed citations

19.

Tran, Van Du T., Matthew N. McCall, Helene R. McMurray, & Anthony Almudevar. (2013). On the underlying assumptions of threshold Boolean networks as a model for genetic regulatory network behavior. Frontiers in Genetics. 4. 263–263. 8 indexed citations

20.

McCall, Matthew N., Harris A. Jaffee, & Rafael A. Irizarry. (2012). fRMA ST: frozen robust multiarray analysis for Affymetrix Exon and Gene ST arrays. Bioinformatics. 28(23). 3153–3154. 33 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.

Explore authors with similar magnitude of impact