Frank Gaillard

7.1k total citations
99 papers, 1.4k citations indexed

About

Frank Gaillard is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Frank Gaillard has authored 99 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 24 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Surgery. Recurrent topics in Frank Gaillard's work include Glioma Diagnosis and Treatment (23 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Meningioma and schwannoma management (9 papers). Frank Gaillard is often cited by papers focused on Glioma Diagnosis and Treatment (23 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Meningioma and schwannoma management (9 papers). Frank Gaillard collaborates with scholars based in Australia, United States and France. Frank Gaillard's co-authors include Arian Lasocki, Mark Tacey, Katharine J. Drummond, Andrew Dixon, Stephen Stuckey, Piers D. L. Howe, Alexandra Gorelik, Michael Gonzales, Jenny K. Hoang and G Assal and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Frank Gaillard

90 papers receiving 1.3k citations

Peers

Frank Gaillard

RNMI

GENET

PRM

SURGE

NEURO

Nicholas Stence United States

Suyash Mohan United States

Sun‐Won Park South Korea

Brent Griffith United States

Lola B. Chambless United States

Thomas C. Booth United Kingdom

Sohil H. Patel United States

Noriyuki Fujima Japan

Akash Shah United States

Kara M. Schwartz United States

Nicholas Stence United States

Frank Gaillard

343 ×0.6

RNMI

98 ×0.2

GENET

189 ×0.9

PRM

210 ×1.1

SURGE

370 ×2.2

NEURO

Citations per year, relative to Frank Gaillard Frank Gaillard (= 1×) peers Nicholas Stence

Countries citing papers authored by Frank Gaillard

Since Specialization

Citations

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

Fields of papers citing papers by Frank Gaillard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Gaillard. 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 Frank Gaillard. The network helps show where Frank Gaillard may publish in the future.

Co-authorship network of co-authors of Frank Gaillard

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Gaillard. A scholar is included among the top collaborators of Frank Gaillard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frank Gaillard. Frank Gaillard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jones, Jordan, Hong Nguyen, Stephen Q. Wong, et al.. (2024). Plasma ctDNA liquid biopsy of IDH1, TERTp, and EGFRvIII mutations in glioma. Neuro-Oncology Advances. 6(1). 8 indexed citations

Lasocki, Arian, et al.. (2023). Radiogenomics Provides Insights into Gliomas Demonstrating Single-Arm 1p or 19q Deletion. American Journal of Neuroradiology. 44(11). 1270–1274. 1 indexed citations

Seah, Jarrel, Jay Gajera, Helen Kavnoudias, et al.. (2021). CLiP, catheter and line position dataset. Scientific Data. 8(1). 285–285. 10 indexed citations

Perfors, Andrew, David Mitchell, Timothy John Haynes Lovell, et al.. (2021). How effective is perceptual training? Evaluating two perceptual training methods on a difficult visual categorisation task. eScholarship (California Digital Library). 43(43).

Gaillard, Frank, et al.. (2020). Depression preceding Marchiafava–Bignami disease. Australian & New Zealand Journal of Psychiatry. 55(2). 224–225.

Gaillard, Frank, et al.. (2020). Descriptive neuroradiology: beyond the hummingbird. Practical Neurology. 20(6). 463–471. 4 indexed citations

Hartung, Michael, Ian Bickle, Frank Gaillard, & Jeffrey P. Kanne. (2020). How to Create a Great Radiology Report. Radiographics. 40(6). 1658–1670. 60 indexed citations

Christie, Michael, et al.. (2020). Solitary subependymal giant cell astrocytoma: Case report and review of the literature. Journal of Clinical Neuroscience. 82(Pt A). 26–28. 8 indexed citations

Velakoulis, Dennis, et al.. (2019). Understanding MRI in clinical psychiatry: perspectives from neuroimaging psychiatry registrars. Australasian Psychiatry. 27(4). 396–403. 2 indexed citations

10.

Lasocki, Arian & Frank Gaillard. (2019). Non-Contrast-Enhancing Tumor: A New Frontier in Glioblastoma Research. American Journal of Neuroradiology. 40(5). 758–765. 97 indexed citations

11.

Yang, Natalie, et al.. (2019). Invisible cortex sign: A highly accurate feature to localize the inferolateral central sulcus. Journal of Medical Imaging and Radiation Oncology. 63(4). 439–445. 4 indexed citations

12.

Howe, Piers D. L., et al.. (2018). Computer vs human: Deep learning versus perceptual training for the detection of neck of femur fractures. Journal of Medical Imaging and Radiation Oncology. 63(1). 27–32. 107 indexed citations

13.

Laidlaw, John D., et al.. (2017). A case of conus medullaris teratoma. Journal of Clinical Neuroscience. 47. 123–126. 3 indexed citations

14.

Tacey, Mark, et al.. (2017). Neuroradiologists Compared with Non-Neuroradiologists in the Detection of New Multiple Sclerosis Plaques. American Journal of Neuroradiology. 38(7). 1323–1327. 15 indexed citations

15.

Ravindran, Krishnan, et al.. (2017). Intracranial white epidermoid cyst with dystrophic calcification – A case report and literature review. Journal of Clinical Neuroscience. 42. 43–47. 9 indexed citations

16.

Yang, Natalie, et al.. (2016). Magnetic resonance imaging features of gemistocytic astrocytoma. Journal of Medical Imaging and Radiation Oncology. 60(6). 733–740. 6 indexed citations

17.

Hoang, Jenny K., Jonathan McCall, Andrew Dixon, Ryan T. Fitzgerald, & Frank Gaillard. (2015). Using Social Media to Share Your Radiology Research: How Effective Is a Blog Post?. Journal of the American College of Radiology. 12(7). 760–765. 57 indexed citations

18.

Gaillard, Frank, et al.. (2015). Midline interhemispheric lesion: answer. Journal of Clinical Neuroscience. 25. 170–170. 1 indexed citations

19.

Lasocki, Arian, Frank Gaillard, Mark Tacey, Katharine J. Drummond, & Stephen Stuckey. (2015). Incidence and prognostic significance of non‐enhancing cortical signal abnormality in glioblastoma. Journal of Medical Imaging and Radiation Oncology. 60(1). 66–73. 22 indexed citations

20.

Muzio, Bruno Di, et al.. (2015). Demyelination preceding a diagnosis of central nervous system lymphoma. Journal of Clinical Neuroscience. 24. 146–148. 12 indexed citations

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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