E. Scott Graham

2.9k citations
81 papers · 2.3k · h-index 27

Impact in

Papers in

E. Scott Graham

75 papers receiving 2.3k citations

Peers

E. Scott Graham
Comparison fields: 5 of 133
  • Neurology 402
  • Endocrine and Autonomic Systems 273
  • Cellular and Molecular Neuroscience 512
  • Biological Psychiatry 61
  • Pharmacology 276
Replace Daniel J. Urban with:
Daniel J. Urban United States
Olivia García‐Suárez Spain
Pascale Cervera France
Sylvia O. Suadicani United States
Roland Pochet Belgium
Jian‐Qiang Lu Canada
Е. И. Рогаев Russia
Yasuki Ishizaki Japan
Christopher Thrasivoulou United Kingdom
Timothy M. Skerry United Kingdom
E. Scott Graham relative to Daniel J. Urban United States Daniel J. Urban's profile →
Citations per field
00.5×4.3×
Daniel J. Urban · 1×
Citations per year

Countries citing papers authored by E. Scott Graham

Since Specialization
Citations

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

Fields of papers citing papers by E. Scott Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Scott Graham. 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 E. Scott Graham. The network helps show where E. Scott Graham may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Most germ-line mutations in the nevoid basal cell carcinoma syndrome lead to a premature termination of the PATCHED protein, and no genotype-phenotype correlations are evident.
1997213
2 2016171
3 2015166
4 2015145
5 2008101
6 200697
7 201790
8 200386
9 201077
10 201670
11 201366
12 200165
13 201052
14 200652
15 199851
16 201051
17 201148
18 201640
19 202236
20 201136

About E. Scott Graham

E. Scott Graham is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Biomedical Engineering, Neurology and Immunology, having authored 81 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (25 papers), 3D Printing in Biomedical Research (14 papers), Neuroscience and Neuropharmacology Research (8 papers), Barrier Structure and Function Studies (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Neural dynamics and brain function (6 papers), Photoreceptor and optogenetics research (6 papers) and Immune cells in cancer (5 papers). The work is most often cited by research in Neurology (402 citations), Endocrine and Autonomic Systems (273 citations), Cellular and Molecular Neuroscience (512 citations), Biological Psychiatry (61 citations) and Pharmacology (276 citations). E. Scott Graham has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Catherine E. Angel, Dan T. Kho, Michelle Glass, Mike Dragunow, Simon J. O’Carroll, Emma L. Scotter, Rebecca Johnson, Peter J. Morgan, Charles P. Unsworth and Perry Barrett. Their work appears in journals such as PLoS ONE, Journal of Neural Engineering, Biosensors, Scientific Reports and Journal of Neuroinflammation.

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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