Julia W. Chang

36 total papers · 2.6k total citations
28 papers, 1.8k citations indexed

About

Julia W. Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Julia W. Chang has authored 28 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Psychiatry and Mental health. Recurrent topics in Julia W. Chang's work include Neuroscience and Neuropharmacology Research (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Epilepsy research and treatment (5 papers). Julia W. Chang is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Epilepsy research and treatment (5 papers). Julia W. Chang collaborates with scholars based in United States, Canada and China. Julia W. Chang's co-authors include Gary W. Mathern, M. Kerry O’Banion, Paul D. Coleman, Eric J. Huang, Arantxa Cebrián‐Silla, Kevin W. Kelley, Michael C. Oldham, Kadellyn Sandoval, Shawn F. Sorrells and Dashi Qi and has published in prestigious journals such as Nature, Brain and Neurology.

In The Last Decade

Julia W. Chang

26 papers receiving 1.8k citations

Hit Papers

Human hippocampal neuroge... 2018 2026 2020 2023 2018 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Julia W. Chang 611 567 513 430 306 28 1.8k
Michelle Potter 477 0.8× 667 1.2× 449 0.9× 261 0.6× 311 1.0× 22 2.0k
Stephen Minger 398 0.7× 855 1.5× 506 1.0× 282 0.7× 441 1.4× 45 1.8k
Sara Xapelli 383 0.6× 602 1.1× 781 1.5× 320 0.7× 206 0.7× 57 1.8k
Claudia Pitzer 457 0.7× 679 1.2× 523 1.0× 538 1.3× 317 1.0× 47 2.2k
Noemí Pallas‐Bazarra 722 1.2× 467 0.8× 521 1.0× 475 1.1× 468 1.5× 19 1.6k
Simone Mayer 699 1.1× 828 1.5× 482 0.9× 388 0.9× 180 0.6× 21 1.9k
Geetha A. Shetty 503 0.8× 758 1.3× 453 0.9× 289 0.7× 288 0.9× 20 1.7k
Carlos Río 322 0.5× 850 1.5× 677 1.3× 275 0.6× 301 1.0× 32 2.1k
Star W. Lee 832 1.4× 538 0.9× 494 1.0× 472 1.1× 408 1.3× 16 1.8k
Julia Terreros‐Roncal 926 1.5× 490 0.9× 516 1.0× 496 1.2× 423 1.4× 15 1.7k

Countries citing papers authored by Julia W. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Julia W. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia W. Chang. 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 Julia W. Chang. The network helps show where Julia W. Chang may publish in the future.

Co-authorship network of co-authors of Julia W. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Julia W. Chang. A scholar is included among the top collaborators of Julia W. Chang 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 Julia W. Chang. Julia W. Chang 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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