Fred H. Gage

1.9k total citations
10 papers, 975 citations indexed

About

Fred H. Gage is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Fred H. Gage has authored 10 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in Fred H. Gage's work include Pluripotent Stem Cells Research (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Fred H. Gage is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Fred H. Gage collaborates with scholars based in United States, France and Switzerland. Fred H. Gage's co-authors include Brian Spencer, Leah Boyer, David Vı́lchez, W. Travis Berggren, Ianessa Morantte, Carsten Merkwirth, Andrew Dillin, Eliezer Masliah, Lesley J. Page and Margaret Lutz and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Fred H. Gage

10 papers receiving 960 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fred H. Gage United States	9	561	277	216	159	143	10	975
Hans Lipp Switzerland	10	409 0.7×	379 1.4×	165 0.8×	155 1.0×	108 0.8×	13	954
Martijn P. J. Dekkers Switzerland	11	426 0.8×	362 1.3×	212 1.0×	116 0.7×	126 0.9×	18	943
Hiroshi Ageta Japan	14	665 1.2×	384 1.4×	280 1.3×	204 1.3×	121 0.8×	20	1.2k
Renaud Vandenbosch Belgium	19	416 0.7×	154 0.6×	269 1.2×	67 0.4×	77 0.5×	32	919
Daniela Omodei Italy	16	525 0.9×	307 1.1×	138 0.6×	48 0.3×	157 1.1×	26	1.0k
Mu Sun China	17	475 0.8×	553 2.0×	203 0.9×	147 0.9×	123 0.9×	26	1.1k
Mohamed Doulazmi France	19	375 0.7×	274 1.0×	113 0.5×	110 0.7×	68 0.5×	45	886
Takao Hikita Japan	17	600 1.1×	285 1.0×	124 0.6×	45 0.3×	206 1.4×	28	1.0k
Linda Hassinger United States	14	439 0.8×	359 1.3×	170 0.8×	193 1.2×	358 2.5×	16	1.4k
Erica Korb United States	11	801 1.4×	417 1.5×	116 0.5×	149 0.9×	82 0.6×	20	1.4k

Countries citing papers authored by Fred H. Gage

Since Specialization

Citations

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

Fields of papers citing papers by Fred H. Gage

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred H. Gage. 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 Fred H. Gage. The network helps show where Fred H. Gage may publish in the future.

Co-authorship network of co-authors of Fred H. Gage

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

All Works

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10 of 10 papers shown

Ishii, Seiji, Masaaki Torii, Alexander I. Son, et al.. (2017). Variations in brain defects result from cellular mosaicism in the activation of heat shock signalling. Nature Communications. 8(1). 15157–15157. 16 indexed citations

Kim, Yeni, Renata Santos, Fred H. Gage, & Maria C. Marchetto. (2017). Molecular Mechanisms of Bipolar Disorder: Progress Made and Future Challenges. Frontiers in Cellular Neuroscience. 11. 30–30. 80 indexed citations

Pei, Liming, Yangling Mu, Mathias Leblanc, et al.. (2015). Dependence of Hippocampal Function on ERRγ-Regulated Mitochondrial Metabolism. Cell Metabolism. 21(4). 628–636. 50 indexed citations

Yu, Diana, Francesco Paolo Di Giorgio, Jun Yao, et al.. (2014). Modeling Hippocampal Neurogenesis Using Human Pluripotent Stem Cells. Stem Cell Reports. 2(3). 295–310. 199 indexed citations

Vı́lchez, David, Leah Boyer, Margaret Lutz, et al.. (2013). FOXO4 is necessary for neural differentiation of human embryonic stem cells. Aging Cell. 12(3). 518–522. 40 indexed citations

Vı́lchez, David, Leah Boyer, Ianessa Morantte, et al.. (2012). Increased proteasome activity in human embryonic stem cells is regulated by PSMD11. Nature. 489(7415). 304–308. 316 indexed citations

Tronel, Sophie, et al.. (2010). Spatial learning sculpts the dendritic arbor of adult-born hippocampal neurons. Proceedings of the National Academy of Sciences. 107(17). 7963–7968. 161 indexed citations

Praag, Henriette van, Carrolee Barlow, & Fred H. Gage. (2001). Are drug targets missed owing to lack of physical activity? – Reply. Drug Discovery Today. 6(12). 615–617. 1 indexed citations

Gage, Fred H.. (1993). Fetal implants put to the test. Nature. 361(6411). 405–406. 25 indexed citations

10.

Mandel, Ronald J., Fred H. Gage, & L. J. Thal. (1989). Enhanced detection of nucleus basalis magnocellularis lesion-induced spatial learning deficit in rats by modification of training regimen. Behavioural Brain Research. 31(3). 221–229. 87 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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