T. J. Stone

34 papers receiving 1.2k citations

T. J. Stone's Hit Papers

Novel molecular subgroups for clinical classification and outcome prediction in childhood medulloblastoma: a cohort study 2017 · 338 citations
3380+3+6Years since publication100200300

Peers

T. J. Stone
Comparison fields: 5 of 128
  • Biophysics 194
  • Genetics 360
  • Physical and Theoretical Chemistry 115
  • Cancer Research 122
  • Spectroscopy 116
Replace Marcel Müller with:
Marcel Müller Germany
Vincent Favaudon France
Anna Maria Talarico Italy
Ran Friedman Sweden
A. Arnone United States
Marie‐Hélène Baron France
John C.M. Tsibris United States
Hans Fischer Germany
Joël Mispelter France
Nicholas A. Matwiyoff United States
T. J. Stone relative to Marcel Müller Germany Marcel Müller's profile →
Citations per field
00.5×3.7×
Marcel Müller · 1×
Citations per year

Countries citing papers authored by T. J. Stone

Since Specialization
Citations

This map shows the geographic impact of T. J. Stone'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 T. J. Stone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Stone more than expected).

Fields of papers citing papers by T. J. Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. J. Stone. 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 T. J. Stone. The network helps show where T. J. Stone may publish in the future.

Co-authors

The 25 scholars most cited alongside T. J. Stone, 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 T. J. Stone Line = papers co-authored together T. J. Stone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Novel molecular subgroups for clinical classification and outcome prediction in childhood medulloblastoma: a cohort study
Hit paper breakdown →
2017338
2 1965306
3 196484
4 201748
5 201843
6 197541
7 197234
8 196532
9 202024
10 198623
11 201822
12 201621
13 197421
14 197520
15 201819
16 201319
17 196916
18 197015
19 196415
20 196414

About T. J. Stone

T. J. Stone is a scholar working on Genetics, Molecular Biology, Physical and Theoretical Chemistry, Organic Chemistry and Biophysics, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Photochemistry and Electron Transfer Studies (7 papers), Free Radicals and Antioxidants (5 papers), Radical Photochemical Reactions (5 papers), Electron Spin Resonance Studies (5 papers), Electrochemical Analysis and Applications (4 papers), Radioactive element chemistry and processing (3 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Biophysics (194 citations), Genetics (360 citations), Physical and Theoretical Chemistry (115 citations), Cancer Research (122 citations) and Spectroscopy (116 citations). T. J. Stone has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Trent D. Buckman, P. L. Nordio, Harden M. McConnell, William A. Waters, Thomas S. Jacques, Terence J. Kemp, R F Barrow, Debbie Hicks, Antony Michalski and Abhijit Joshi. Their work appears in journals such as Neuropathology and Applied Neurobiology, Analytical Chemistry, Neuro-Oncology, Cancer Research and Child s Nervous System.

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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