Susan A. Gauthier

6.5k total citations · 1 hit paper
102 papers, 4.3k citations indexed

About

Susan A. Gauthier is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Susan A. Gauthier has authored 102 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Pathology and Forensic Medicine, 45 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Molecular Biology. Recurrent topics in Susan A. Gauthier's work include Multiple Sclerosis Research Studies (54 papers), Advanced Neuroimaging Techniques and Applications (29 papers) and Advanced MRI Techniques and Applications (21 papers). Susan A. Gauthier is often cited by papers focused on Multiple Sclerosis Research Studies (54 papers), Advanced Neuroimaging Techniques and Applications (29 papers) and Advanced MRI Techniques and Applications (21 papers). Susan A. Gauthier collaborates with scholars based in United States, Canada and China. Susan A. Gauthier's co-authors include Philippe Gros, Silvia M. Vidal, Yi Wang, Thanh D. Nguyen, Danielle Malo, Gregory Govoni, Michel L. Tremblay, David Pitt, Emil Skamene and Ulrike W. Kaunzner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and The Journal of Experimental Medicine.

In The Last Decade

Susan A. Gauthier

100 papers receiving 4.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Ity/Lsh/Bcg locus: natural resistance to infection with intracellular parasites is abrogated by disruption of the Nramp1 gene.

1995 502 citations Silvia M. Vidal, Gregory Govoni et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Susan A. Gauthier United States	35	1.2k	1.1k	1.0k	641	564	102	4.3k
Andrew W. Bollen United States	51	778 0.6×	1.0k 0.9×	3.1k 3.1×	520 0.8×	142 0.3×	141	8.8k
Leslie P. Weiner United States	40	956 0.8×	229 0.2×	1.2k 1.1×	1.5k 2.3×	93 0.2×	100	5.6k
Thomas Leist United States	39	1.7k 1.3×	240 0.2×	790 0.8×	2.1k 3.3×	57 0.1×	124	4.9k
Connie R. Jiménez Netherlands	56	389 0.3×	272 0.2×	4.8k 4.7×	655 1.0×	166 0.3×	240	8.6k
Harry W. Schroeder United States	47	1.0k 0.8×	2.4k 2.2×	2.2k 2.2×	4.8k 7.4×	130 0.2×	188	9.6k
Hugh J. Willison United Kingdom	56	469 0.4×	1.2k 1.1×	1.4k 1.4×	1.2k 1.8×	100 0.2×	193	9.8k
Robert J. Harris United States	40	301 0.2×	1.1k 1.0×	1.1k 1.1×	125 0.2×	96 0.2×	99	4.3k
Kingsley Micklem United Kingdom	34	274 0.2×	306 0.3×	1.4k 1.4×	1.0k 1.6×	99 0.2×	70	4.0k
Mátyás Sándor United States	42	336 0.3×	580 0.5×	1.2k 1.2×	2.5k 4.0×	78 0.1×	163	5.3k
K. Felgenhauer Germany	34	642 0.5×	286 0.3×	1.3k 1.3×	432 0.7×	73 0.1×	138	4.0k

Countries citing papers authored by Susan A. Gauthier

Since Specialization

Citations

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

Fields of papers citing papers by Susan A. Gauthier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan A. Gauthier. 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 Susan A. Gauthier. The network helps show where Susan A. Gauthier may publish in the future.

Co-authorship network of co-authors of Susan A. Gauthier

This figure shows the co-authorship network connecting the top 25 collaborators of Susan A. Gauthier. A scholar is included among the top collaborators of Susan A. Gauthier 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 Susan A. Gauthier. Susan A. Gauthier 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

Rúa, Sandra Hurtado, et al.. (2024). Impact of paramagnetic rim lesions on disability and race in multiple sclerosis: mediation analysis. Annals of Clinical and Translational Neurology. 11(11). 2923–2931. 3 indexed citations

Dimov, Alexey, Thanh D. Nguyen, İlhami Kovanlıkaya, et al.. (2024). Maximum spherical mean value filtering for whole‐brain QSM. Magnetic Resonance in Medicine. 91(4). 1586–1597. 2 indexed citations

Jamison, Keith, et al.. (2023). The sequence of regional structural disconnectivity due to multiple sclerosis lesions. Brain Communications. 5(6). fcad332–fcad332. 9 indexed citations

Jamison, Keith, et al.. (2022). Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity. Network Neuroscience. 7(2). 539–556. 8 indexed citations

Jamison, Keith, Thanh D. Nguyen, Ulrike W. Kaunzner, et al.. (2021). Structural disconnectivity from paramagnetic rim lesions is related to disability in multiple sclerosis. Brain and Behavior. 11(10). e2353–e2353. 18 indexed citations

Jamison, Keith, et al.. (2021). Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groups. NeuroImage Clinical. 32. 102827–102827. 8 indexed citations

Huang, Weiyuan, Xianfu Luo, Junghun Cho, et al.. (2021). The central vein sign in multiple sclerosis lesions: Susceptibility relaxation optimization from a routine MRI multiecho gradient echo sequence. Journal of Neuroimaging. 32(1). 48–56. 3 indexed citations

Pandya, Sneha, Ulrike W. Kaunzner, Sandra Hurtado Rúa, et al.. (2020). Impact of Lesion Location on Longitudinal Myelin Water Fraction Change in Chronic Multiple Sclerosis Lesions. Journal of Neuroimaging. 30(4). 537–543. 11 indexed citations

Pandya, Sneha, Thanh D. Nguyen, Weiyuan Huang, et al.. (2020). Determining the Impact of Ocrelizumab on Chronic Active Lesions in Multiple Sclerosis Utilizing Quantitative Susceptibility Mapping (2556). Neurology. 94(15_supplement).

10.

Kang, Yeona, P. David Mozley, Ajay Verma, et al.. (2018). Noninvasive PK11195‐PET Image Analysis Techniques Can Detect Abnormal Cerebral Microglial Activation in Parkinson's Disease. Journal of Neuroimaging. 28(5). 496–505. 28 indexed citations

11.

Kang, Yeona, David J. Schlyer, Ulrike W. Kaunzner, et al.. (2018). Comparison of two different methods of image analysis for the assessment of microglial activation in patients with multiple sclerosis using (R)-[N-methyl-carbon-11]PK11195. PLoS ONE. 13(8). e0201289–e0201289. 7 indexed citations

12.

Deh, Kofi, Gerald Ponath, Kelly M. Gillen, et al.. (2018). Magnetic susceptibility increases as diamagnetic molecules breakdown: Myelin digestion during multiple sclerosis lesion formation contributes to increase on QSM. Journal of Magnetic Resonance Imaging. 48(5). 1281–1287. 34 indexed citations

13.

Chiang, Gloria, et al.. (2018). Quantitative Susceptibility Mapping of the Thalamus: Relationships with Thalamic Volume, Total Gray Matter Volume, and T2 Lesion Burden. American Journal of Neuroradiology. 39(3). 467–472. 6 indexed citations

14.

Kaunzner, Ulrike W., et al.. (2018). Induction of disease remission with one cycle of alemtuzumab in relapsing–remitting MS. Journal of Neurology. 265(5). 1226–1229. 2 indexed citations

15.

Yao, Yihao, Thanh D. Nguyen, Sneha Pandya, et al.. (2017). Combining Quantitative Susceptibility Mapping with Automatic Zero Reference (QSM0) and Myelin Water Fraction Imaging to Quantify Iron-Related Myelin Damage in Chronic Active MS Lesions. American Journal of Neuroradiology. 39(2). 303–310. 37 indexed citations

16.

Gauthier, Susan A., et al.. (2007). Icsbp1 /IRF-8 Is Required for Innate and Adaptive Immune Responses against Intracellular Pathogens. The Journal of Immunology. 179(4). 2467–2476. 37 indexed citations

17.

Canonne‐Hergaux, François, Mark D. Fleming, Joanne E. Levy, et al.. (2000). The Nramp2/DMT1 iron transporter is induced in the duodenum of microcytic anemia mk mice but is not properly targeted to the intestinal brush border.. Blood. 96(12). 3964–70. 91 indexed citations

18.

Gruenheid, Samantha, François Canonne‐Hergaux, Susan A. Gauthier, et al.. (1999). The Iron Transport Protein NRAMP2 Is an Integral Membrane Glycoprotein That Colocalizes with Transferrin in Recycling Endosomes. The Journal of Experimental Medicine. 189(5). 831–841. 267 indexed citations

19.

Sebastiani, Giovanna, Susan A. Gauthier, Emil Skamene, et al.. (1998). Mapping of Genetic Modulators of Natural Resistance to Infection withSalmonella typhimuriumin Wild-Derived Mice. Genomics. 47(2). 180–186. 63 indexed citations

20.

Govoni, Gregory, Silvia M. Vidal, Susan A. Gauthier, et al.. (1996). The Bcg/Ity/Lsh locus: genetic transfer of resistance to infections in C57BL/6J mice transgenic for the Nramp1 Gly169 allele. Infection and Immunity. 64(8). 2923–2929. 139 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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