Christopher L. Chio

517 total citations
8 papers, 427 citations indexed

About

Christopher L. Chio is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Christopher L. Chio has authored 8 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Organic Chemistry. Recurrent topics in Christopher L. Chio's work include Neurotransmitter Receptor Influence on Behavior (5 papers), Receptor Mechanisms and Signaling (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). Christopher L. Chio is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (5 papers), Receptor Mechanisms and Signaling (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). Christopher L. Chio collaborates with scholars based in United States and Germany. Christopher L. Chio's co-authors include Rita M. Huff, Mary E. Lajiness, Helmut A. Ensinger, Joachim Mierau, Wha Bin Im, Glen L Alberts, Dac M. Dinh, Jeffrey E. Campbell, Christopher S. Knauer and Lawrence W. Fitzgerald and has published in prestigious journals such as Nature, British Journal of Pharmacology and Molecular Pharmacology.

In The Last Decade

Christopher L. Chio

8 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher L. Chio United States 5 247 233 93 44 38 8 427
Mary E. Lajiness United States 8 355 1.4× 351 1.5× 100 1.1× 66 1.5× 37 1.0× 11 596
Nicholas Mallard United Kingdom 9 273 1.1× 263 1.1× 108 1.2× 32 0.7× 46 1.2× 11 548
Miyuki Ota Japan 11 180 0.7× 141 0.6× 123 1.3× 37 0.8× 54 1.4× 27 470
Cheryse A. Furman United States 9 376 1.5× 323 1.4× 32 0.3× 34 0.8× 24 0.6× 9 492
Yann Quentric France 5 245 1.0× 164 0.7× 49 0.5× 19 0.4× 43 1.1× 7 397
Lori L. Coffey United States 13 476 1.9× 370 1.6× 33 0.4× 35 0.8× 26 0.7× 16 565
K. Chen United States 9 157 0.6× 135 0.6× 93 1.0× 16 0.4× 41 1.1× 12 376
Frederik C. Grønvald Denmark 8 314 1.3× 230 1.0× 36 0.4× 83 1.9× 35 0.9× 10 420
Maria Grabowska‐Andén Sweden 12 420 1.7× 256 1.1× 82 0.9× 42 1.0× 50 1.3× 20 548
Verònica Casadó-Anguera Spain 13 317 1.3× 347 1.5× 85 0.9× 43 1.0× 71 1.9× 22 592

Countries citing papers authored by Christopher L. Chio

Since Specialization
Citations

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

Fields of papers citing papers by Christopher L. Chio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher L. Chio. 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 Christopher L. Chio. The network helps show where Christopher L. Chio may publish in the future.

Co-authorship network of co-authors of Christopher L. Chio

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher L. Chio. A scholar is included among the top collaborators of Christopher L. Chio 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 Christopher L. Chio. Christopher L. Chio 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.
Bian, Feng, James A. Render, Xiaodan Ren, et al.. (2011). An Activin Receptor-Like Kinase 5 Inhibitor Reduces Collagen Deposition in a Rat Dermal Incision Wound Healing Model. Plastic & Reconstructive Surgery. 128(5). 451e–459e. 4 indexed citations
2.
Knauer, Christopher S., Jeffrey E. Campbell, Christopher L. Chio, & Lawrence W. Fitzgerald. (2008). Pharmacological characterization of mitogen-activated protein kinase activation by recombinant human 5-HT2C, 5-HT2A, and 5-HT2B receptors. Naunyn-Schmiedeberg s Archives of Pharmacology. 379(5). 461–471. 18 indexed citations
3.
Im, Wha Bin, Christopher L. Chio, Glen L Alberts, & Dac M. Dinh. (2003). Positive Allosteric Modulator of the Human 5-HT2C Receptor. Molecular Pharmacology. 64(1). 78–84. 35 indexed citations
4.
Alberts, Glen L, Christopher L. Chio, Wha Bin Im, & Jerry L. Slightom. (2003). A unique phenotype of 5‐HT2C, agonist‐induced GTPγ35S binding, transferable to 5‐HT2A and 5‐HT2B, upon swapping intracellular regions. British Journal of Pharmacology. 138(3). 427–434. 4 indexed citations
5.
6.
Alberts, Glen L, Christopher L. Chio, & Wha Bin Im. (2001). Allosteric Modulation of the Human 5-HT7A Receptor by Lipidic Amphipathic Compounds. Molecular Pharmacology. 60(6). 1349–1355. 26 indexed citations
7.
Mierau, Joachim, et al.. (1995). Pramipexole binding and activation of cloned and expressed dopamine D2, D3 and D4 receptors. European Journal of Pharmacology Molecular Pharmacology. 290(1). 29–36. 217 indexed citations
8.
Chio, Christopher L., et al.. (1990). A second molecular form of D2 dopamine receptor in rat and bovine caudate nucleus. Nature. 343(6255). 266–269. 121 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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