G Chen

1.6k total citations
10 papers, 1.2k citations indexed

About

G Chen is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, G Chen has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Psychiatry and Mental health and 3 papers in Molecular Biology. Recurrent topics in G Chen's work include Bipolar Disorder and Treatment (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). G Chen is often cited by papers focused on Bipolar Disorder and Treatment (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). G Chen collaborates with scholars based in United States, Germany and Austria. G Chen's co-authors include Yiming Jiang, Li‐Dong Huang, H.K. Manji, Ian H. Gotlib, J. Paul Hamilton, Moriah E. Thomason, Ioline D. Henter, Lukas Pezawas, Beth A. Verchinski and Daniel R. Weinberger and has published in prestigious journals such as The FASEB Journal, Journal of Neurochemistry and Molecular Psychiatry.

In The Last Decade

G Chen

10 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G Chen United States 9 408 380 367 319 212 10 1.2k
Paweł Kapelski Poland 20 351 0.9× 302 0.8× 380 1.0× 387 1.2× 285 1.3× 66 1.2k
Mary A. Walker United Kingdom 16 215 0.5× 589 1.6× 274 0.7× 224 0.7× 120 0.6× 27 1.1k
Gwyneth Zai Canada 23 204 0.5× 459 1.2× 325 0.9× 440 1.4× 231 1.1× 65 1.3k
Stefano Bignotti Italy 21 393 1.0× 214 0.6× 259 0.7× 391 1.2× 174 0.8× 32 1.5k
Radhakrishna Vakkalanka United States 17 787 1.9× 288 0.8× 275 0.7× 256 0.8× 556 2.6× 18 1.5k
Yoko Kinoshita Japan 28 715 1.8× 224 0.6× 616 1.7× 395 1.2× 571 2.7× 73 2.1k
Tatsuyo Suzuki Japan 17 470 1.2× 230 0.6× 456 1.2× 247 0.8× 304 1.4× 30 1.1k
Jia Cheng United States 21 725 1.8× 344 0.9× 465 1.3× 185 0.6× 292 1.4× 38 1.5k
Eileen Kemether United States 15 275 0.7× 797 2.1× 312 0.9× 398 1.2× 127 0.6× 18 1.4k
Ana D. Stan United States 8 336 0.8× 337 0.9× 404 1.1× 233 0.7× 92 0.4× 9 972

Countries citing papers authored by G Chen

Since Specialization
Citations

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

Fields of papers citing papers by G Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G Chen. 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 G Chen. The network helps show where G Chen may publish in the future.

Co-authorship network of co-authors of G Chen

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

All Works

10 of 10 papers shown
1.
Chai, Huihui, et al.. (2019). The chemokine CXCL1 and its receptor CXCR2 contribute to chronic stress‐induced depression in mice. The FASEB Journal. 33(8). 8853–8864. 35 indexed citations
2.
Carty, Nikisha, Jin Xu, Jonathan Brouillette, et al.. (2012). The tyrosine phosphatase STEP: implications in schizophrenia and the molecular mechanism underlying antipsychotic medications. Translational Psychiatry. 2(7). e137–e137. 62 indexed citations
3.
Malkesman, Oz, Daniel Austin, Tyson Tragon, et al.. (2011). Targeting the BH3-interacting domain death agonist to develop mechanistically unique antidepressants. Molecular Psychiatry. 17(8). 770–780. 22 indexed citations
4.
Chen, G, Ioline D. Henter, & Hadi Manji. (2010). Translational research in bipolar disorder: emerging insights from genetically based models. Molecular Psychiatry. 15(9). 883–895. 51 indexed citations
5.
Hamilton, J. Paul, et al.. (2010). Investigating neural primacy in Major Depressive Disorder: multivariate Granger causality analysis of resting-state fMRI time-series data. Molecular Psychiatry. 16(7). 763–772. 277 indexed citations
6.
Engel, Stacia R., Thomas K. Creson, Yanlei Hao, et al.. (2008). The extracellular signal-regulated kinase pathway contributes to the control of behavioral excitement. Molecular Psychiatry. 14(4). 448–461. 92 indexed citations
7.
Pezawas, Lukas, Andreas Meyer‐Lindenberg, Aaron L. Goldman, et al.. (2008). Evidence of biologic epistasis between BDNF and SLC6A4 and implications for depression. Molecular Psychiatry. 13(7). 709–716. 187 indexed citations
8.
Pezawas, Lukas, Andreas Meyer‐Lindenberg, Aaron L. Goldman, et al.. (2008). MET BDNF protects against morphological S allele effects of 5-HTTLPR. Molecular Psychiatry. 13(7). 654–654. 7 indexed citations
9.
Manji, H.K. & G Chen. (2002). PKC, MAP kinases and the bcl-2 family of proteins as long-term targets for mood stabilizers. Molecular Psychiatry. 7(S1). S46–S56. 136 indexed citations
10.
Chen, G, et al.. (2000). The Mood‐Stabilizing Agent Valproate Inhibits the Activity of Glycogen Synthase Kinase‐3. Journal of Neurochemistry. 72(3). 1327–1330. 366 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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