Matthew McCord

981 total citations
18 papers, 307 citations indexed

About

Matthew McCord is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Matthew McCord has authored 18 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 7 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Matthew McCord's work include Glioma Diagnosis and Treatment (12 papers), Epigenetics and DNA Methylation (4 papers) and Brain Metastases and Treatment (3 papers). Matthew McCord is often cited by papers focused on Glioma Diagnosis and Treatment (12 papers), Epigenetics and DNA Methylation (4 papers) and Brain Metastases and Treatment (3 papers). Matthew McCord collaborates with scholars based in United States, Philippines and Mexico. Matthew McCord's co-authors include Yoh‐suke Mukouyama, Sadhana Jackson, Mark R. Gilbert, Craig Horbinski, Alicia Steffens, Kathleen McCortney, Pouya Jamshidi, Margaret E. Flanagan, Roger Stupp and Rudolph J. Castellani and has published in prestigious journals such as Stroke, Clinical Cancer Research and Journal of neurosurgery.

In The Last Decade

Matthew McCord

17 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew McCord United States 7 130 125 72 50 46 18 307
Antje Arnold United States 14 108 0.8× 251 2.0× 66 0.9× 42 0.8× 49 1.1× 24 482
Stephen V. Carney United States 8 168 1.3× 146 1.2× 68 0.9× 61 1.2× 25 0.5× 12 310
Sara Haddock United States 6 93 0.7× 190 1.5× 78 1.1× 50 1.0× 71 1.5× 7 298
Yinyan Xu China 10 88 0.7× 191 1.5× 64 0.9× 24 0.5× 75 1.6× 31 382
Ashley Aaroe United States 6 96 0.7× 84 0.7× 41 0.6× 80 1.6× 60 1.3× 17 321
Laura A. Genovesi Australia 12 112 0.9× 287 2.3× 111 1.5× 59 1.2× 30 0.7× 15 439
I‐Li Tan United States 7 80 0.6× 220 1.8× 59 0.8× 59 1.2× 51 1.1× 8 349
Jack Shireman United States 12 178 1.4× 197 1.6× 86 1.2× 89 1.8× 33 0.7× 24 403
Jee Ye Kahng South Korea 2 268 2.1× 199 1.6× 137 1.9× 76 1.5× 24 0.5× 3 441
Seamus P. Caragher United States 9 189 1.5× 172 1.4× 78 1.1× 89 1.8× 28 0.6× 13 376

Countries citing papers authored by Matthew McCord

Since Specialization
Citations

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

Fields of papers citing papers by Matthew McCord

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew McCord

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

All Works

18 of 18 papers shown
1.
Mantziaris, Georgios, et al.. (2026). Belzutifan-induced tumor regression in sporadic hemangioblastoma: a case report and literature review. Journal of Neuro-Oncology. 176(3). 213–213.
2.
McCord, Matthew, Wenxia Wang, Shejuan An, et al.. (2024). The novel DNA cross-linking agent KL-50 is active against patient-derived models of new and recurrent post-temozolomide mismatch repair-deficient glioblastoma. Neuro-Oncology. 27(3). 644–651. 2 indexed citations
3.
Drumm, Michael, Matthew McCord, Alicia Steffens, et al.. (2024). Optimizing the use of Ki-67 proliferative index as a prognostic biomarker in meningiomas using digital analysis. Journal of neurosurgery. 141(6). 1644–1654. 3 indexed citations
4.
Arrieta, Víctor A., Johnny Duerinck, Kirsten B. Burdett, et al.. (2023). ERK1/2 Phosphorylation Predicts Survival in Recurrent Glioblastoma Following Intracerebral and Adjuvant PD-1/CTLA-4 Immunotherapy: A REMARK-guided Analysis. Clinical Cancer Research. 30(2). 379–388. 6 indexed citations
5.
Najem, Hinda, Shashwat Tripathi, Craig Horbinski, et al.. (2023). Immunobiology and Cytokine Modulation of the Pediatric Brain Tumor Microenvironment: A Scoping Review. Cancers. 15(14). 3655–3655. 4 indexed citations
6.
Castellani, Rudolph J., Elisheva D. Shanes, Matthew McCord, et al.. (2023). Neuropathology of Anti-Amyloid-β Immunotherapy: A Case Report. Journal of Alzheimer s Disease. 93(2). 803–813. 35 indexed citations
7.
McCord, Matthew, Pouya Jamshidi, Lucas Santana‐Santos, et al.. (2023). Variant allelic frequencies of driver mutations can identify gliomas with potentially false-negative MGMT promoter methylation results. Acta Neuropathologica Communications. 11(1). 175–175. 1 indexed citations
8.
McCord, Matthew, Elizabeth T. Bartom, Kirsten B. Burdett, et al.. (2022). Modeling Therapy-Driven Evolution of Glioblastoma with Patient-Derived Xenografts. Cancers. 14(22). 5494–5494. 11 indexed citations
9.
Santana‐Santos, Lucas, Matthew McCord, Pouya Jamshidi, et al.. (2022). Validation of Whole Genome Methylation Profiling Classifier for Central Nervous System Tumors. Journal of Molecular Diagnostics. 24(8). 924–934. 19 indexed citations
10.
Jamshidi, Pouya, Matthew McCord, Craig Horbinski, et al.. (2022). Methylation Profiling Improves the Care of Pediatric Brain Tumor Patients. 27(3). e1–e4. 1 indexed citations
11.
McCord, Matthew, et al.. (2022). 6. The clinical implications of polyploidy in oligodendrogliomas. Cancer Genetics. 268-269. 2–3. 1 indexed citations
12.
McCord, Matthew, Rimas V. Lukas, Christina Amidei, et al.. (2021). Disappearance of MMR-deficient subclones after controlled IL-12 and PD-1 inhibition in a glioma patient. Neuro-Oncology Advances. 3(1). vdab045–vdab045. 6 indexed citations
13.
McCord, Matthew, et al.. (2020). The efficacy of DNA mismatch repair enzyme immunohistochemistry as a screening test for hypermutated gliomas. Acta Neuropathologica Communications. 8(1). 15–15. 34 indexed citations
14.
Drumm, Michael, Karan Dixit, Sean Grimm, et al.. (2019). HOUT-11. EXTENSIVE BRAINSTEM INFILTRATION, NOT MASS EFFECT, IS A COMMON FEATURE OF END-STAGE CEREBRAL GLIOBLASTOMAS. Neuro-Oncology. 21(Supplement_6). vi114–vi114. 1 indexed citations
15.
Drumm, Michael, Karan Dixit, Sean Grimm, et al.. (2019). Extensive brainstem infiltration, not mass effect, is a common feature of end-stage cerebral glioblastomas. Neuro-Oncology. 22(4). 470–479. 59 indexed citations
16.
McCord, Matthew, Yoh‐suke Mukouyama, Mark R. Gilbert, & Sadhana Jackson. (2017). Targeting WNT Signaling for Multifaceted Glioblastoma Therapy. Frontiers in Cellular Neuroscience. 11. 318–318. 86 indexed citations
17.
Hosaka, Koji, et al.. (2017). Monocyte Chemotactic Protein-1–Interleukin-6–Osteopontin Pathway of Intra-Aneurysmal Tissue Healing. Stroke. 48(4). 1052–1060. 33 indexed citations
18.
Weaver, Kristin J., Matthew McCord, Dan Neal, et al.. (2016). Do tumor and ventricular volume predict the need for postresection shunting in colloid cyst patients?. Journal of neurosurgery. 125(3). 585–590. 5 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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