Lynn E. Eberly

10.3k total citations
221 papers, 7.5k citations indexed

About

Lynn E. Eberly is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Lynn E. Eberly has authored 221 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Radiology, Nuclear Medicine and Imaging, 31 papers in Cellular and Molecular Neuroscience and 30 papers in Cognitive Neuroscience. Recurrent topics in Lynn E. Eberly's work include Advanced MRI Techniques and Applications (29 papers), Functional Brain Connectivity Studies (24 papers) and Diabetes Management and Research (22 papers). Lynn E. Eberly is often cited by papers focused on Advanced MRI Techniques and Applications (29 papers), Functional Brain Connectivity Studies (24 papers) and Diabetes Management and Research (22 papers). Lynn E. Eberly collaborates with scholars based in United States, Czechia and Finland. Lynn E. Eberly's co-authors include Anne E. Pusey, Gülin Öz, Craig Packer, Dinesh K. Deelchand, James D. Neaton, Elizabeth V. Lonsdorf, Kelvin O. Lim, Bradley P. Carlin, Elizabeth R. Seaquist and Kathryn R. Cullen and has published in prestigious journals such as Nature, Science and Journal of Neuroscience.

In The Last Decade

Lynn E. Eberly

216 papers receiving 7.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lynn E. Eberly 954 823 756 745 730 221 7.5k
Rong Zhang 762 0.8× 832 1.0× 439 0.6× 430 0.6× 446 0.6× 586 10.2k
Paul S. Horn 852 0.9× 1.6k 2.0× 305 0.4× 465 0.6× 336 0.5× 308 7.8k
Michael Georgieff 934 1.0× 709 0.9× 783 1.0× 1.6k 2.1× 487 0.7× 694 24.0k
John M. Davis 501 0.5× 362 0.4× 306 0.4× 923 1.2× 417 0.6× 305 9.9k
Daniel J. Smıth 343 0.4× 853 1.0× 334 0.4× 641 0.9× 371 0.5× 346 12.4k
Cathryn M. Lewis 1.0k 1.1× 719 0.9× 360 0.5× 449 0.6× 334 0.5× 372 16.3k
Judith Peters 275 0.3× 2.0k 2.4× 372 0.5× 626 0.8× 313 0.4× 61 8.0k
Heping Zhang 588 0.6× 2.3k 2.8× 690 0.9× 406 0.5× 508 0.7× 497 17.7k
Jonathan Evans 702 0.7× 979 1.2× 568 0.8× 229 0.3× 183 0.3× 196 13.1k
Avital Cnaan 1.2k 1.3× 425 0.5× 342 0.5× 763 1.0× 386 0.5× 177 12.6k

Countries citing papers authored by Lynn E. Eberly

Since Specialization
Citations

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

Fields of papers citing papers by Lynn E. Eberly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lynn E. Eberly

This figure shows the co-authorship network connecting the top 25 collaborators of Lynn E. Eberly. A scholar is included among the top collaborators of Lynn E. Eberly 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 Lynn E. Eberly. Lynn E. Eberly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ponticorvo, Sara, Jaakko Paasonen, Petteri Stenroos, et al.. (2024). Resting-state functional MRI of the nose as a novel investigational window into the nervous system. Scientific Reports. 14(1). 26352–26352. 1 indexed citations
2.
Wendt, Chris H., et al.. (2024). HIP: a method for high-dimensional multi-view data integration and prediction accounting for subgroup heterogeneity. Briefings in Bioinformatics. 25(6). 1 indexed citations
3.
Thai, Michelle, Bonnie Klimes‐Dougan, C. Sophia Albott, et al.. (2024). Deep transcranial magnetic stimulation for adolescents with treatment-resistant depression: A preliminary dose-finding study exploring safety and clinical effectiveness. Journal of Affective Disorders. 354. 589–600. 6 indexed citations
4.
Eberly, Lynn E., et al.. (2024). Prediction of tuberculosis clusters in the riverine municipalities of the Brazilian Amazon with machine learning. Revista Brasileira de Epidemiologia. 27. e240024–e240024. 1 indexed citations
5.
Maurer, Eric, et al.. (2024). Post-Implementation Outcomes of a Remote Patient Monitoring Program After Emergency Department Discharge. Studies in health technology and informatics. 310. 509–513. 1 indexed citations
6.
Pisharady, Pramod Kumar, Lynn E. Eberly, Isaac Adanyeguh, et al.. (2023). Multimodal MRI improves diagnostic accuracy and sensitivity to longitudinal change in amyotrophic lateral sclerosis. SHILAP Revista de lepidopterología. 3(1). 84–84. 6 indexed citations
7.
McLoughlin, Hayley S., et al.. (2023). Antisense Oligonucleotide Silencing Reverses Abnormal Neurochemistry in Spinocerebellar Ataxia 3 Mice. Annals of Neurology. 94(4). 658–671. 13 indexed citations
8.
Adanyeguh, Isaac, James M. Joers, Dinesh K. Deelchand, et al.. (2023). Brain MRI detects early-stage alterations and disease progression in Friedreich ataxia. Brain Communications. 5(4). fcad196–fcad196. 5 indexed citations
9.
Joers, James M., Isaac Adanyeguh, Dinesh K. Deelchand, et al.. (2022). Spinal cord magnetic resonance imaging and spectroscopy detect early-stage alterations and disease progression in Friedreich ataxia. Brain Communications. 4(5). fcac246–fcac246. 7 indexed citations
10.
Bereiter, David A., et al.. (2022). Altered brain responses to noxious dentoalveolar stimuli in high-impact temporomandibular disorder pain patients. PLoS ONE. 17(10). e0266349–e0266349. 2 indexed citations
11.
Eberly, Lynn E., et al.. (2022). Neurochemical correlates of synapse density in a Huntington's disease mouse model. Journal of Neurochemistry. 164(2). 226–241. 8 indexed citations
12.
Zhang, Yuan, Gülin Öz, Amir Moheet, et al.. (2022). Heterogeneity in Epinephrine Response to Experimental Hypoglycemia in Type 1 Diabetes and Controls. Journal of the Endocrine Society. 6(6). bvac046–bvac046. 2 indexed citations
13.
Rubin, Nathan, Elizabeth R. Seaquist, Lynn E. Eberly, et al.. (2022). Relationship Between Hypoglycemia Awareness Status on Clarke/Gold Methods and Counterregulatory Response to Hypoglycemia. Journal of the Endocrine Society. 6(9). bvac107–bvac107. 14 indexed citations
14.
Pisharady, Pramod Kumar, Lynn E. Eberly, Ian Cheong, et al.. (2020). Tract-specific analysis improves sensitivity of spinal cord diffusion MRI to cross-sectional and longitudinal changes in amyotrophic lateral sclerosis. Communications Biology. 3(1). 14 indexed citations
15.
Joers, James M., Dinesh K. Deelchand, Tianmeng Lyu, et al.. (2018). Neurochemical abnormalities in premanifest and early spinocerebellar ataxias. Annals of Neurology. 83(4). 816–829. 53 indexed citations
16.
17.
Ince, Nuri F., Thomas Wichmann, James Ashe, et al.. (2010). Selection of Optimal Programming Contacts Based on Local Field Potential Recordings From Subthalamic Nucleus in Patients With Parkinson's Disease. Neurosurgery. 67(2). 390–397. 69 indexed citations
18.
Eberly, Lynn E.. (2006). Metabolic Syndrome: Risk factor distribution and 18-year mortality in the Multiple Risk Factor Intervention Trial. Diabetes Care. 29(1). 123–130. 133 indexed citations
19.
Eberly, Lynn E. & Thomas A. Louis. (2005). Bayesfrequentist compromise decision rules for Gaussian sampling. Quality Engineering. 50(1). 63–68. 1 indexed citations
20.
Eberly, Lynn E. & George Casella. (1999). Bayesian Estimation of the Number of Unseen Studies in a Meta-Analysis. Journal of Official Statistics. 15(4). 477–494. 4 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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