The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Elizabeth A. Grove sits on this spectrum.
This scientist: 72 publications — 5th percentile
5% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 887 publications or more.
The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Elizabeth A. Grove sits on this spectrum.
This scientist: 43 D-Index — 24th percentile
24% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 163 D-Index or more.
Elizabeth A. Grove is affiliated with the University of Chicago in the United States. Their research spans multiple interconnected scientific disciplines, with a focus on Biochemistry, Genetics and Molecular Biology, Neuroscience, and Computer Science.
Their work covers key topics including Developmental Biology and Gene Regulation, Planarian Biology and Electrostimulation, Marine Invertebrate Physiology and Ecology, Axon Guidance and Neuronal Signaling, Zebrafish Biomedical Research Applications, AI in cancer detection, and Machine Learning in Healthcare.
Elizabeth A. Grove has contributed to publications primarily in the following venues:
Their recent paper titled "Empowering Data Sharing in Neuroscience: A Deep Learning Deidentification Method for Pediatric Brain MRIs" was published in 2024 in the American Journal of Neuroradiology.
Frequent collaborators include:
Elizabeth A. Grove's research contributions incorporate several subfields of study such as Molecular Biology, Artificial Intelligence, Paleontology, Cellular and Molecular Neuroscience, and Cell Biology. These areas illustrate an interdisciplinary approach integrating molecular techniques and computational methods.
The scientist's work in AI and machine learning is reflected in topics like AI in cancer detection and Machine Learning in Healthcare, highlighting potential applications of computational tools in biomedical contexts.
Tomomi Fukuchi-Shimogori;Elizabeth A. Grove
S.M. Lee;S. Tole;E. Grove;A.P. McMahon
Elizabeth A. Grove;Shubha Tole;Julie Limon;Lin-wah Yip
Meiling Lu;Elizabeth A. Grove;Richard J. Miller
S. N. Haber;H. J. Groenewegen;E. A. Grove;W. J. H. Nauta;W. J. H. Nauta
Tomomi Shimogori;Victoria Banuchi;Hanyann Y. Ng;Jonathan B. Strauss
Elizabeth A. Grove
Elizabeth A. Grove;Tomomi Fukuchi-Shimogori
Michio Yoshida;Michio Yoshida;Stavroula Assimacopoulos;Kevin R. Jones;Elizabeth A. Grove
Elizabeth A. Grove
Angeliki Louvi;Elizabeth A. Grove
Abdelhak Belmadani;Phuong B. Tran;Dongjun Ren;Stavroula Assimacopoulos
Tomomi Fukuchi-Shimogori;Elizabeth A Grove
Ariel M. Pani;Erin E. Mullarkey;Jochanan Aronowicz;Stavroula Assimacopoulos
Stavroula Assimacopoulos;Elizabeth A. Grove;Clifton W. Ragsdale
Elizabeth A. Grove;Brenda P. Williams;Da-Qing Li;Mohammad Hajihosseini
Shubha Tole;Clifton W Ragsdale;Elizabeth A Grove
S. Bulchand;E.A. Grove;F.D. Porter;S. Tole
Brian G Rash;Elizabeth A Grove
Clifton W Ragsdale;Elizabeth A Grove
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