Lynn E. Eberly

216 papers receiving 7.3k citations

Peers

Lynn E. Eberly
Comparison fields: 5 of 201
  • Developmental Biology 206
  • Biological Psychiatry 148
  • Virology 275
  • Cellular and Molecular Neuroscience 954
  • Endocrinology, Diabetes and Metabolism 756
Replace Flavia Chiarotti with:
Flavia Chiarotti Italy
John Blangero United States
Paul Mulder Netherlands
Cisca Wijmenga Netherlands
David R. Brown United States
Howard J. Hoffman United States
Sabra L. Klein United States
Andrea B. Maier Netherlands
Robert J. White United States
David M. Evans United Kingdom
Lynn E. Eberly relative to Flavia Chiarotti Italy Flavia Chiarotti's profile →
Citations per field
00.5×5.8×
Flavia Chiarotti · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 221 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014243
2 2004196
3 2011194
4 2010192
5 2003191
6 2001160
7 2004156
8 2001155
9 2007152
10 2015148
11 2000137
12 2006135
13 2006133
14 2015124
15 2006113
16 2015110
17 2009109
18 2003108
19 2015107
20 2006104

About Lynn E. Eberly

Lynn E. Eberly is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 221 papers that have together received 7.5k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (29 papers), Functional Brain Connectivity Studies (24 papers), Diabetes Management and Research (22 papers), Advanced Neuroimaging Techniques and Applications (19 papers), Genetic Neurodegenerative Diseases (18 papers), Mitochondrial Function and Pathology (16 papers), Geriatric Care and Nursing Homes (15 papers) and Neurological disorders and treatments (13 papers). The work is most often cited by research in Developmental Biology (206 citations), Biological Psychiatry (148 citations), Virology (275 citations), Cellular and Molecular Neuroscience (954 citations) and Endocrinology, Diabetes and Metabolism (756 citations). Lynn E. Eberly has collaborated with scholars based in United States, Czechia and Finland. Frequent 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. Their work appears in journals such as Diabetes, Journal of Cerebral Blood Flow & Metabolism, Journal of Wound Ostomy and Continence Nursing, Frontiers in Neuroscience and NMR in Biomedicine.

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.

Explore authors with similar magnitude of impact