G. J. Chin

38 total papers · 3.1k total citations
14 papers, 386 citations indexed

About

G. J. Chin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, G. J. Chin has authored 14 papers receiving a total of 386 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 Cell Biology. Recurrent topics in G. J. Chin's work include Neuroscience and Neuropharmacology Research (3 papers), Lipid Membrane Structure and Behavior (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). G. J. Chin is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Lipid Membrane Structure and Behavior (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). G. J. Chin collaborates with scholars based in United States, Canada and Australia. G. J. Chin's co-authors include Michael Forgac, Javier Vitórica, Joanne Chong, Anna F. Lau, Marc Tennant, Simon R. M. Jones, Jeremy R. Knowles, Jessica Simon, G A Orr and K. E. Doble and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

G. J. Chin

14 papers receiving 344 citations

Author Peers

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

Author						Papers	Cites
G. J. Chin	217	154	40	35	23	14	386
Christopher B. Divito	171 0.8×	147 1.0×	11 0.3×	6 0.2×	2 0.1×	10	334
Xiaoliang Li	143 0.7×	79 0.5×	23 0.6×	24 0.7×		24	383
Rita Reig‐Viader	176 0.8×	83 0.5×	39 1.0×	57 1.6×		14	434
Kevin S. Jones	225 1.0×	169 1.1×	29 0.7×	13 0.4×		15	438
Tobias Schmidt	148 0.7×	83 0.5×	46 1.1×	14 0.4×		12	338
Katrina L. Kelner	147 0.7×	83 0.5×	27 0.7×	14 0.4×		27	410
S. Eerikäinen	196 0.9×	157 1.0×	11 0.3×	21 0.6×		11	417
K MOORE	88 0.4×	131 0.9×	48 1.2×	20 0.6×		11	436
Masami Kojima	134 0.6×	150 1.0×	20 0.5×	15 0.4×		15	409
Nina M. Rzechorzek	153 0.7×	53 0.3×	17 0.4×	12 0.3×		19	361

Countries citing papers authored by G. J. Chin

Since Specialization

Citations

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

Fields of papers citing papers by G. J. Chin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. J. Chin

This figure shows the co-authorship network connecting the top 25 collaborators of G. J. Chin. A scholar is included among the top collaborators of G. J. Chin 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. J. Chin. G. J. Chin 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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