Tyler Steed

2.0k total citations
17 papers, 738 citations indexed

About

Tyler Steed is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Tyler Steed has authored 17 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Cancer Research. Recurrent topics in Tyler Steed's work include Glioma Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and MicroRNA in disease regulation (3 papers). Tyler Steed is often cited by papers focused on Glioma Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and MicroRNA in disease regulation (3 papers). Tyler Steed collaborates with scholars based in United States, China and United Kingdom. Tyler Steed's co-authors include John A. McLachlan, Bob S. Carter, Karen G. Nelson, Yasuhiro Sakai, Clark C. Chen, Jeffrey M. Treiber, Anders M. Dale, William J. Jagust, Caroline A. Racine and Adi Alkalay and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Scientific Reports.

In The Last Decade

Tyler Steed

16 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tyler Steed United States 13 228 153 110 108 106 17 738
Vasileios Mastorodemos Greece 17 234 1.0× 43 0.3× 26 0.2× 44 0.4× 49 0.5× 38 919
Simon Starosta‐Rubinstein United States 9 536 2.4× 60 0.4× 53 0.5× 137 1.3× 16 0.2× 10 1.2k
E. M. Grasbon-Frodl Germany 21 751 3.3× 247 1.6× 52 0.5× 75 0.7× 140 1.3× 35 1.3k
Ye Ji Jeong South Korea 14 183 0.8× 34 0.2× 18 0.2× 44 0.4× 55 0.5× 24 658
Sabine Herterich Germany 20 358 1.6× 80 0.5× 69 0.6× 18 0.2× 188 1.8× 37 970
Keqing Zhu China 13 223 1.0× 50 0.3× 66 0.6× 64 0.6× 42 0.4× 33 653
Nicholas Mitsios Sweden 21 434 1.9× 23 0.2× 72 0.7× 60 0.6× 125 1.2× 32 963
Harutsugu Tatebe Japan 17 357 1.6× 67 0.4× 153 1.4× 26 0.2× 53 0.5× 33 1.0k
Dimitrios Kanakis Germany 13 229 1.0× 54 0.4× 27 0.2× 28 0.3× 68 0.6× 28 581
Jennifer Stanley United States 17 524 2.3× 20 0.1× 19 0.2× 57 0.5× 69 0.7× 32 995

Countries citing papers authored by Tyler Steed

Since Specialization
Citations

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

Fields of papers citing papers by Tyler Steed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyler Steed

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

All Works

17 of 17 papers shown
1.
Nguyen, Jonathan, Tyler Steed, Judy Wawira Gichoya, et al.. (2023). TiME OUT: Time-specific machine-learning evaluation to optimize ultramassive transfusion. The Journal of Trauma: Injury, Infection, and Critical Care. 96(3). 443–454. 3 indexed citations
2.
Steed, Tyler, et al.. (2023). Themes in neuronavigation research: A machine learning topic analysis. World Neurosurgery X. 18. 100182–100182. 13 indexed citations
3.
Steed, Tyler, Jeffrey M. Treiber, H. Billur Engin, et al.. (2020). Glioblastomas located in proximity to the subventricular zone (SVZ) exhibited enrichment of gene expression profiles associated with the cancer stem cell state. Journal of Neuro-Oncology. 148(3). 455–462. 28 indexed citations
4.
Steed, Tyler, Jeffrey M. Treiber, Michael G. Brandel, et al.. (2018). Quantification of glioblastoma mass effect by lateral ventricle displacement. Scientific Reports. 8(1). 2827–2827. 20 indexed citations
5.
Treiber, Jeffrey M., Tyler Steed, Michael G. Brandel, et al.. (2018). Molecular physiology of contrast enhancement in glioblastomas: An analysis of The Cancer Imaging Archive (TCIA). Journal of Clinical Neuroscience. 55. 86–92. 12 indexed citations
6.
Treiber, Jeffrey M., Nathan S. White, Tyler Steed, et al.. (2016). Characterization and Correction of Geometric Distortions in 814 Diffusion Weighted Images. PLoS ONE. 11(3). e0152472–e0152472. 89 indexed citations
7.
Steed, Tyler, Jeffrey M. Treiber, Kunal Patel, et al.. (2016). Differential localization of glioblastoma subtype: implications on glioblastoma pathogenesis. Oncotarget. 7(18). 24899–24907. 25 indexed citations
8.
Steed, Tyler, Jeffrey M. Treiber, Kunal Patel, et al.. (2015). NIMG-09QUANTIFICATION OF GLIOBLASTOMA LOCALIZATION REVEALS ASSOCIATIONS WITH GENOMIC SUBTYPES AND SUBVENTRICULAR ZONE. Neuro-Oncology. 17(suppl 5). v155.1–v155.
9.
Shen, Ying, Jie Li, Masayuki Nitta, et al.. (2015). Orthogonal targeting of EGFRvIII expressing glioblastomas through simultaneous EGFR and PLK1 inhibition. Oncotarget. 6(14). 11751–11767. 9 indexed citations
10.
Steed, Tyler, Jeffrey M. Treiber, Kunal Patel, et al.. (2014). Iterative Probabilistic Voxel Labeling: Automated Segmentation for Analysis of The Cancer Imaging Archive Glioblastoma Images. American Journal of Neuroradiology. 36(4). 678–685. 18 indexed citations
11.
12.
Kushwaha, Deepa, Valya Ramakrishnan, Kimberly Ng, et al.. (2014). A genome-wide miRNA screen revealed miR-603 as a MGMT-regulating miRNA in glioblastomas. Oncotarget. 5(12). 4026–4039. 62 indexed citations
13.
Rodriguez, Rodrigo A., Yu Kawamata, Shun Su, et al.. (2014). Axinellamines as Broad-Spectrum Antibacterial Agents: Scalable Synthesis and Biology. Journal of the American Chemical Society. 136(43). 15403–15413. 53 indexed citations
14.
Kushwaha, Deepa, Valya Ramakrishnan, Kwan Hoong Ng, et al.. (2014). MR-02 * A GENOME-WIDE miRNA SCREEN REVEALED MIR-603 AS A MGMT-REGULATING miRNA IN GLIOBLASTOMAS. Neuro-Oncology. 16(suppl 5). v125–v125. 1 indexed citations
15.
Furst, Ansgar J., Gil D. Rabinovici, Tyler Steed, et al.. (2010). Cognition, glucose metabolism and amyloid burden in Alzheimer's disease. Neurobiology of Aging. 33(2). 215–225. 117 indexed citations
16.
17.
Nelson, Karen G., et al.. (1994). Exposure to diethylstilbestrol during a critical developmental period of the mouse reproductive tract leads to persistent induction of two estrogen-regulated genes.. PubMed. 5(6). 595–606. 142 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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