Ian F. Dunn

15.6k citations
234 papers · 6.9k indexed · 2 hit papers · h-index 43

Ian F. Dunn

218 papers receiving 6.7k citations

Hit Papers

Artificial intelligence in cancer imaging: Clinical chall...1.2k20172026202020232505007501000

Peers

Ian F. Dunn
Comparison fields: 5 of 161
  • Genetics 1.8k
  • Health Informatics 223
  • Neurology 1.8k
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Epidemiology 2.4k
Replace Wenya Linda Bi with:
Wenya Linda Bi United States
Ji‐hoon Kim South Korea
Ricardo J. Komotar United States
Chong Hyun Suh South Korea
Arturo Chiti Italy
Brian M. Alexander United States
Daniel T. Chang United States
Ziya L. Gokaslan United States
Giuseppe Minniti Italy
Ho Sung Kim South Korea
Ian F. Dunn relative to Wenya Linda Bi United States Wenya Linda Bi's profile →
Citations per field
00.5×1.5×1.9×
Wenya Linda Bi · 1×
Citations per year

Countries citing papers authored by Ian F. Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Ian F. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian F. Dunn. 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 Ian F. Dunn. The network helps show where Ian F. Dunn may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20242
5 20241
6 20230
7 20231
8 20237
9 20224
10 202211
11 202124
12 20216
13 20212
14 202126
15 20219
16 202013
17 201910
18 201826
19 201847
20 201825

About Ian F. Dunn

Ian F. Dunn is a scholar working on Genetics, Neurology and Epidemiology, having authored 234 papers that have together received 6.9k indexed citations. Recurring topics across this work include Meningioma and schwannoma management (89 papers), Glioma Diagnosis and Treatment (77 papers), Pituitary Gland Disorders and Treatments (41 papers), Head and Neck Surgical Oncology (36 papers), Neurofibromatosis and Schwannoma Cases (36 papers), Brain Metastases and Treatment (26 papers), Traumatic Brain Injury and Neurovascular Disturbances (17 papers) and Bone Tumor Diagnosis and Treatments (14 papers). The work is most often cited by research in Genetics (1.8k citations), Health Informatics (223 citations) and Neurology (1.8k citations). Ian F. Dunn has collaborated with scholars based in United States, Vietnam and Saudi Arabia. Frequent co-authors include Wenya Linda Bi, Ossama Al‐Mefty, Edward R. Laws, Brian M. Alexander, Patrick Y. Wen, Ayal A. Aizer, Timothy R. Smith, Raymond Y. Huang, William B. Gormley and Eudocia Q. Lee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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