Nathaniel J. Myall

1.6k citations
26 papers · 1.0k indexed · 1 hit paper · h-index 11

Nathaniel J. Myall

25 papers receiving 993 citations

Hit Papers

Tract Profiles of White Matter Properties: Automating Fib...5962012202620162021100200300400500

Peers

Nathaniel J. Myall
Comparison fields: 5 of 78
  • Computational Mathematics 15
  • Radiology, Nuclear Medicine and Imaging 560
  • Cognitive Neuroscience 268
  • Pediatrics, Perinatology and Child Health 169
  • Oncology 228
Replace Thibo Billiet with:
Thibo Billiet Belgium
Ingeborg Bosma Netherlands
Zhan Wang China
A. Alavi United States
Juan A. Guzmán‐De‐Villoria Spain
Stefan Kneifel Switzerland
Jorge Villanúa Spain
Neil D. Martin United Kingdom
Elisabeth Lange Germany
Fang Yu United States
Nathaniel J. Myall relative to Thibo Billiet Belgium Thibo Billiet's profile →
Citations per field
00.5×6.9×
Thibo Billiet · 1×
Citations per year

Countries citing papers authored by Nathaniel J. Myall

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel J. Myall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20231
4 20236
5 202314
6 20231
7 20224
8 20224
9 20223
10 20226
11 20223
12 20224
13 202123
14 202159
15 202016
16 201812
17 20189
18 201633
19 20159
20 200710

About Nathaniel J. Myall

Nathaniel J. Myall is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiation, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (19 papers), Lung Cancer Research Studies (9 papers), Lung Cancer Diagnosis and Treatment (5 papers), Brain Metastases and Treatment (4 papers), HER2/EGFR in Cancer Research (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Melanoma and MAPK Pathways (4 papers) and Neonatal and fetal brain pathology (3 papers). The work is most often cited by research in Computational Mathematics (15 citations), Radiology, Nuclear Medicine and Imaging (560 citations) and Cognitive Neuroscience (268 citations). Nathaniel J. Myall has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Heidi M. Feldman, Jason D. Yeatman, Robert F. Dougherty, Brian A. Wandell, Heather A. Wakelee, Christina S. Baik, Millie Das, Joel W. Neal, Erqi L. Pollom and Michal Ben‐Shachar. Their work appears in journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and The Oncologist.

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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