Tyler Steed

2.0k citations
17 papers · 738 · h-index 13

Impact in

Papers in

    • Glioma Diagnosis and Treatment 9
    • Estrogen and related hormone effects 2
    • Radiomics and Machine Learning in Medical Imaging 4
    • MRI in cancer diagnosis 2
    • Advanced Neuroimaging Techniques and Applications 1

Tyler Steed

16 papers receiving 733 citations

Peers

Tyler Steed
Comparison fields: 5 of 103
  • Genetics 153
  • Psychiatry and Mental health 110
  • Cancer Research 106
  • Developmental Neuroscience 27
  • Cognitive Neuroscience 104
Replace Vasileios Mastorodemos with:
Vasileios Mastorodemos Greece
Ye Ji Jeong South Korea
Keqing Zhu China
Kang-Sik Park South Korea
Yonatan Perez Israel
Francesca Montarolo Italy
Jennifer Stanley United States
Harutsugu Tatebe Japan
Rita Cittadella Italy
Nicholas Mitsios Sweden
Tyler Steed relative to Vasileios Mastorodemos Greece Vasileios Mastorodemos's profile →
Citations per field
00.5×4.2×
Vasileios Mastorodemos · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Tyler Steed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tyler Steed Line = papers co-authored together Tyler Steed links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Exposure to diethylstilbestrol during a critical developmental period of the mouse reproductive tract leads to persistent induction of two estrogen-regulated genes.
1994142
2 2010117
3 2014107
4 201689
5 201462
6 201453
7 199539
8 202028
9 201625
10 201820
11 201418
12 202313
13 201812
14 20159
15 20233
16 20141
17 20150

About Tyler Steed

Tyler Steed is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Cancer Research, Molecular Biology and Neurology, having authored 17 papers that have together received 738 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), MicroRNA in disease regulation (3 papers), Cancer Genomics and Diagnostics (2 papers), MRI in cancer diagnosis (2 papers), Estrogen and related hormone effects (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Genetics (153 citations), Psychiatry and Mental health (110 citations), Cancer Research (106 citations), Developmental Neuroscience (27 citations) and Cognitive Neuroscience (104 citations). Tyler Steed has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include John A. McLachlan, Bob S. Carter, Karen G. Nelson, Yasuhiro Sakai, Clark C. Chen, Anders M. Dale, Jeffrey M. Treiber, Bruce L. Miller, Ansgar J. Furst and Adi Alkalay. Their work appears in journals such as Oncotarget, Neuro-Oncology, Scientific Reports, Endocrinology and Journal of the American Chemical Society.

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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