Gregory J. Popken

656 total citations
8 papers, 531 citations indexed

About

Gregory J. Popken is a scholar working on Molecular Biology, Cognitive Neuroscience and Applied Mathematics. According to data from OpenAlex, Gregory J. Popken has authored 8 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cognitive Neuroscience and 2 papers in Applied Mathematics. Recurrent topics in Gregory J. Popken's work include Memory and Neural Mechanisms (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Point processes and geometric inequalities (2 papers). Gregory J. Popken is often cited by papers focused on Memory and Neural Mechanisms (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Point processes and geometric inequalities (2 papers). Gregory J. Popken collaborates with scholars based in United States, Canada and Netherlands. Gregory J. Popken's co-authors include Paul B. Farel, Steven G. Potkin, William E. Bunney, Edward G. Jones, A. Joseph D’Ercole, Rebecca D. Hodge, Jihui Zhang, John R. OʼKusky, Ping Ye and Ping Ye and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology and European Journal of Neuroscience.

In The Last Decade

Gregory J. Popken

8 papers receiving 526 citations

Author Peers

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

Author Last Decade Papers Cites
Gregory J. Popken 195 160 136 121 68 8 531
R. Ferres-Torres 406 2.1× 214 1.3× 139 1.0× 150 1.2× 28 0.4× 46 712
Jamie McQueen 283 1.5× 127 0.8× 203 1.5× 101 0.8× 14 0.2× 19 787
Bin Gu 309 1.6× 166 1.0× 274 2.0× 124 1.0× 24 0.4× 20 704
L. Rosén 270 1.4× 64 0.4× 188 1.4× 83 0.7× 53 0.8× 15 635
Jiaojie Hui 125 0.6× 91 0.6× 101 0.7× 49 0.4× 24 0.4× 21 495
Guy Valiquette 200 1.0× 57 0.4× 154 1.1× 102 0.8× 256 3.8× 16 796
Zbigniew Sołtys 142 0.7× 53 0.3× 117 0.9× 87 0.7× 19 0.3× 37 519
Georgina V. Bixler 158 0.8× 40 0.3× 303 2.2× 83 0.7× 39 0.6× 17 809
Elidie Béard 189 1.0× 123 0.8× 223 1.6× 34 0.3× 18 0.3× 11 697
Joanne K. Morse 203 1.0× 33 0.2× 113 0.8× 150 1.2× 74 1.1× 8 485

Countries citing papers authored by Gregory J. Popken

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J. Popken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J. Popken. 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 Gregory J. Popken. The network helps show where Gregory J. Popken may publish in the future.

Co-authorship network of co-authors of Gregory J. Popken

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

All Works

8 of 8 papers shown
1.
Popken, Gregory J., et al.. (2005). Brain Development. Advances in experimental medicine and biology. 567. 187–220. 20 indexed citations
2.
Popken, Gregory J., Rebecca D. Hodge, Ping Ye, et al.. (2004). In vivo effects of insulin‐like growth factor‐I (IGF‐I) on prenatal and early postnatal development of the central nervous system. European Journal of Neuroscience. 19(8). 2056–2068. 138 indexed citations
3.
Popken, Gregory J., et al.. (2003). Down-regulation of 14-3-3 η gene expression by IGF-I in mouse cerebellum during postnatal development. Developmental Brain Research. 143(2). 199–206. 7 indexed citations
4.
Schmitz, Christoph, Manuel Dafotakis, Helmut Heinsen, et al.. (2000). Use of cryostat sections from snap-frozen nervous tissue for combining stereological estimates with histological, cellular, or molecular analyses on adjacent sections. Journal of Chemical Neuroanatomy. 20(1). 21–29. 22 indexed citations
5.
Popken, Gregory J., William E. Bunney, Steven G. Potkin, & Edward G. Jones. (2000). Subnucleus-specific loss of neurons in medial thalamus of schizophrenics. Proceedings of the National Academy of Sciences. 97(16). 9276–9280. 209 indexed citations
6.
Popken, Gregory J. & Paul B. Farel. (1997). Sensory neuron number in neonatal and adult rats estimated by means of stereologic and profile-based methods. The Journal of Comparative Neurology. 386(1). 8–15. 96 indexed citations
7.
Popken, Gregory J. & Paul B. Farel. (1997). Sensory neuron number in neonatal and adult rats estimated by means of stereologic and profile‐based methods. The Journal of Comparative Neurology. 386(1). 8–15. 4 indexed citations
8.
Popken, Gregory J. & Paul B. Farel. (1996). Reliability and validity of the physical disector method for estimating neuron number. Journal of Neurobiology. 31(2). 166–174. 35 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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