Tobey J. MacDonald

10.9k citations
147 papers · 6.4k indexed · 2 hit papers · h-index 45

Tobey J. MacDonald

143 papers receiving 6.3k citations

Hit Papers

Microengineered human b...2972005202620122019100200300400500

Peers

Tobey J. MacDonald
Comparison fields: 5 of 137
  • Genetics 2.8k
  • Neurology 1.3k
  • Cancer Research 914
  • Molecular Biology 3.2k
  • Developmental Neuroscience 185
Replace Ghazaleh Tabatabai with:
Ghazaleh Tabatabai Germany
M. Kelly Nicholas United States
Jens Schittenhelm Germany
Akitake Mukasa Japan
Patrick Roth Switzerland
Martin Proescholdt Germany
Jörg C. Tonn Germany
Joon H. Uhm United States
Mathilde C.M. Kouwenhoven Netherlands
Sieger Leenstra Netherlands
Tobey J. MacDonald relative to Ghazaleh Tabatabai Germany Ghazaleh Tabatabai's profile →
Citations per field
00.5×1.5×2.4×
Ghazaleh Tabatabai · 1×
Citations per year

Countries citing papers authored by Tobey J. MacDonald

Since Specialization
Citations

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

Fields of papers citing papers by Tobey J. MacDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202517
3 20241
4 20234
5 20228
6 202121
7 202190
8 202040
9 201922
10 201957
11 201637
12 201240
13
UPDATED RESULTS FROM A PHASE I STUDY OF LDE225, A SMOOTHENED ANTAGONIST, IN PEDIATRIC PATIENTS WITH RECURRENT MEDULLOBLASTOMA OR OTHER SOLID TUMORS
20124
14 2010130
15 2010274
16 20107
17 200948
18 200744
19 2007186
20
Overexpression of the EGFR/FKBP12/HIF-2alpha pathway identified in childhood astrocytomas by angiogenesis gene profiling.
2003106

About Tobey J. MacDonald

Tobey J. MacDonald is a scholar working on Genetics, Neurology and Immunology and Allergy, having authored 147 papers that have together received 6.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (93 papers), Neuroblastoma Research and Treatments (32 papers), Hedgehog Signaling Pathway Studies (26 papers), Chromatin Remodeling and Cancer (15 papers), Brain Metastases and Treatment (10 papers), Neurofibromatosis and Schwannoma Cases (9 papers), Cancer, Hypoxia, and Metabolism (9 papers) and Microtubule and mitosis dynamics (8 papers). The work is most often cited by research in Genetics (2.8k citations), Neurology (1.3k citations) and Cancer Research (914 citations). Tobey J. MacDonald has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Roger J. Packer, Brian R. Rood, John R. Crawford, Gilbert Vézina, Bonnie LaFleur, Robert C. Castellino, Kevin M. Brown, Dietrich Stephan, Christopher Lawlor and Walter E. Laug. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

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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