Kristyn Galbraith

504 total citations
21 papers, 190 citations indexed

About

Kristyn Galbraith is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Kristyn Galbraith has authored 21 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 8 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Kristyn Galbraith's work include Glioma Diagnosis and Treatment (12 papers), Cancer Genomics and Diagnostics (5 papers) and Chromatin Remodeling and Cancer (4 papers). Kristyn Galbraith is often cited by papers focused on Glioma Diagnosis and Treatment (12 papers), Cancer Genomics and Diagnostics (5 papers) and Chromatin Remodeling and Cancer (4 papers). Kristyn Galbraith collaborates with scholars based in United States. Kristyn Galbraith's co-authors include Matija Snuderl, Timothy E. Richardson, Jamie M. Walker, Kanish Mirchia, Chao Xing, Kimmo J. Hatanpaa, Adwait Amod Sathe, Mariano S. Viapiano, Robert J. Corona and Vinod Kumar and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Nature Nanotechnology.

In The Last Decade

Kristyn Galbraith

18 papers receiving 188 citations

Peers

Kristyn Galbraith

GENET

PRM

NEURO

Lori Ramkissoon United States

M Łysiak Sweden

Lin Luo China

Anja Gijtenbeek Netherlands

Andrea Franson United States

Sho Tamai Japan

Taishi Nakamura Japan

Lihong Long United States

Wolfgang Wick Germany

Hongseok Yun South Korea

Lori Ramkissoon United States

Kristyn Galbraith

117 ×0.9

GENET

119 ×1.4

38 ×0.6

38 ×0.8

PRM

53 ×2.4

NEURO

Citations per year, relative to Kristyn Galbraith Kristyn Galbraith (= 1×) peers Lori Ramkissoon

Countries citing papers authored by Kristyn Galbraith

Since Specialization

Citations

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

Fields of papers citing papers by Kristyn Galbraith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristyn Galbraith

This figure shows the co-authorship network connecting the top 25 collaborators of Kristyn Galbraith. A scholar is included among the top collaborators of Kristyn Galbraith 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 Kristyn Galbraith. Kristyn Galbraith 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

Vasudevaraja, Varshini, Kristyn Galbraith, Jonathan Serrano, et al.. (2025). DNA methylation profiling of pituitary neuroendocrine tumors identifies distinct clinical and pathological subtypes based on epigenetic differentiation. Neuro-Oncology. 27(9). 2341–2354.

Galbraith, Kristyn, Kristin Sikkink, Derek A. Reid, et al.. (2025). Detection of Gene Fusions and Rearrangements in Formalin-Fixed, Paraffin-Embedded Solid Tumor Specimens Using High-Throughput Chromosome Conformation Capture. Journal of Molecular Diagnostics. 27(5). 346–359.

Kolb, Annie, Kathleen McCortney, Craig Horbinski, et al.. (2025). Machine perception liquid biopsy identifies brain tumours via systemic immune and tumour microenvironment signature. Nature Nanotechnology. 21(2). 277–287. 1 indexed citations

Karz, Alcida, Nicolas Coudray, Erol C. Bayraktar, et al.. (2024). MetFinder: A Tool for Automated Quantitation of Metastatic Burden in Histological Sections From Preclinical Models. Pigment Cell & Melanoma Research. 38(1). e13195–e13195.

Lee, Matthew, Rajan Jain, Kristyn Galbraith, et al.. (2024). T2-FLAIR Mismatch Sign Predicts DNA Methylation Subclass and CDKN2A/B Status in IDH -Mutant Astrocytomas. Clinical Cancer Research. 30(16). 3512–3519. 2 indexed citations

Wang, Wanyi, Varshini Vasudevaraja, Jonathan Serrano, et al.. (2024). Racial distribution of molecularly classified brain tumors. Neuro-Oncology Advances. 6(1). vdae135–vdae135. 1 indexed citations

Galbraith, Kristyn & Matija Snuderl. (2024). Molecular Pathology of Gliomas. Clinics in Laboratory Medicine. 44(2). 149–159. 2 indexed citations

Nasir-Moin, Mustafa, Kristyn Galbraith, Steven Drexler, et al.. (2023). Clinical Validation of Stimulated Raman Histology for Rapid Intraoperative Diagnosis of Central Nervous System Tumors. Modern Pathology. 36(9). 100219–100219. 3 indexed citations

Tran, Ivy, Kristyn Galbraith, Sharon L. Gardner, et al.. (2023). Ultrasensitive detection and monitoring of central nervous system tumors from plasma using personalized whole-genome ctDNA profiling.. Journal of Clinical Oncology. 41(16_suppl). 2064–2064. 2 indexed citations

10.

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

11.

Mirchia, Kanish, et al.. (2022). Mediastinal metastases from a primary immature teratoma of the CNS. SHILAP Revista de lepidopterología. 17(9). 3339–3344. 3 indexed citations

12.

Galbraith, Kristyn & Matija Snuderl. (2022). DNA methylation as a diagnostic tool. Acta Neuropathologica Communications. 10(1). 71–71. 31 indexed citations

13.

Feng, Yang, Varshini Vasudevaraja, Kristyn Galbraith, et al.. (2022). Clinical, Pathological, and Molecular Characteristics of Diffuse Spinal Cord Gliomas. Journal of Neuropathology & Experimental Neurology. 81(11). 865–872. 4 indexed citations

14.

Galbraith, Kristyn, et al.. (2022). DNA Methylation Profiling in Rare Sellar Tumors. Biomedicines. 10(9). 2225–2225. 1 indexed citations

15.

Galbraith, Kristyn & Matija Snuderl. (2021). Molecular Pathology of Gliomas. Surgical pathology clinics. 14(3). 379–386. 31 indexed citations

16.

Richardson, Timothy E., Michael Williams, Kristyn Galbraith, et al.. (2020). Total copy number variation, somatic mutation burden, and histologic grade correlate with clinical outcome in oligodendroglioma. Clinical Neuropathology. 39(9). 238–242. 7 indexed citations

17.

Galbraith, Kristyn, Vinod Kumar, Kalil G. Abdullah, et al.. (2020). Molecular Correlates of Long Survival in IDH-Wildtype Glioblastoma Cohorts. Journal of Neuropathology & Experimental Neurology. 79(8). 843–854. 32 indexed citations

18.

Gitto, Lorenzo, Serenella Serinelli, Kristyn Galbraith, et al.. (2020). Anaplastic Transformation in Myxopapillary Ependymoma: A Report of 2 Cases and Review of the Literature. Journal of Neuropathology & Experimental Neurology. 79(10). 1044–1053. 4 indexed citations

19.

Mirchia, Kanish, Adwait Amod Sathe, Jamie M. Walker, et al.. (2019). Total copy number variation as a prognostic factor in adult astrocytoma subtypes. Acta Neuropathologica Communications. 7(1). 92–92. 54 indexed citations

20.

Galbraith, Kristyn, et al.. (2019). Primary Diffuse Large B-Cell Lymphoma of the Descending Colon. The American Journal of the Medical Sciences. 358(2). 164–167. 10 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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