Gina E. Elsen

24 total papers · 1.3k total citations
15 papers, 822 citations indexed

About

Gina E. Elsen is a scholar working on Molecular Biology, Developmental Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Gina E. Elsen has authored 15 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Developmental Neuroscience and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in Gina E. Elsen's work include Congenital heart defects research (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Developmental Biology and Gene Regulation (4 papers). Gina E. Elsen is often cited by papers focused on Congenital heart defects research (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Developmental Biology and Gene Regulation (4 papers). Gina E. Elsen collaborates with scholars based in United States, Germany and France. Gina E. Elsen's co-authors include Robert F. Hevner, Francesco Bedogni, Rebecca D. Hodge, Ray A. M. Daza, Victoria Prince, Branden R. Nelson, John L.R. Rubenstein, Theo K. Bammler, Richard P. Beyer and Steven L. Reiner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Cerebral Cortex.

In The Last Decade

Gina E. Elsen

15 papers receiving 814 citations

Author Peers

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

Author						Papers	Cites
Gina E. Elsen	551	298	200	188	129	15	822
Bjarte Håvik	501 0.9×	135 0.5×	299 1.5×	178 0.9×	96 0.7×	20	1.0k
Anthony S. LaMantia	488 0.9×	295 1.0×	268 1.3×	149 0.8×	159 1.2×	14	931
Lakshmi Subramanian	653 1.2×	335 1.1×	226 1.1×	168 0.9×	108 0.8×	25	940
Brian G. Rash	490 0.9×	308 1.0×	221 1.1×	209 1.1×	85 0.7×	18	948
Mandy M. Lam	407 0.7×	184 0.6×	219 1.1×	181 1.0×	77 0.6×	19	848
Hari Padmanabhan	612 1.1×	359 1.2×	370 1.9×	156 0.8×	97 0.8×	14	994
Jiami Guo	570 1.0×	136 0.5×	229 1.1×	420 2.2×	148 1.1×	13	923
Mami Terao	561 1.0×	260 0.9×	240 1.2×	155 0.8×	182 1.4×	10	871
Mircea Bancila	381 0.7×	277 0.9×	433 2.2×	186 1.0×	73 0.6×	13	870
Margaret Martínez‐de‐la‐Torre	492 0.9×	204 0.7×	278 1.4×	89 0.5×	122 0.9×	23	864

Countries citing papers authored by Gina E. Elsen

Since Specialization

Citations

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

Fields of papers citing papers by Gina E. Elsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gina E. Elsen

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

All Works

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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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