Christie Chang

6.8k total citations · 4 hit papers
13 papers, 3.5k citations indexed

About

Christie Chang is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Christie Chang has authored 13 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Artificial Intelligence. Recurrent topics in Christie Chang's work include Bioinformatics and Genomic Networks (6 papers), Ubiquitin and proteasome pathways (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Christie Chang is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Ubiquitin and proteasome pathways (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Christie Chang collaborates with scholars based in United States, Canada and United Kingdom. Christie Chang's co-authors include Rose Oughtred, Kara Dolinski, Jennifer Rust, Andrew Chatr‐aryamontri, Mike Tyers, Chris Stark, Lorrie Boucher, Nadine K. Kolas, Bobby‐Joe Breitkreutz and Lara O’Donnell and has published in prestigious journals such as Nucleic Acids Research, Molecular and Cellular Biology and Oncogene.

In The Last Decade

Christie Chang

13 papers receiving 3.5k citations

Hit Papers

The BioGRID database: A comprehensiv... 2012 2026 2016 2021 2020 2018 2012 2016 250 500 750

Peers

Christie Chang
Jennifer Rust United States
C. Stark Canada
Patrick Kemmeren Netherlands
Rose Oughtred United States
Michael Livstone United States
Mario Niepel United States
Jennifer Rust United States
Christie Chang
Citations per year, relative to Christie Chang Christie Chang (= 1×) peers Jennifer Rust

Countries citing papers authored by Christie Chang

Since Specialization
Citations

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

Fields of papers citing papers by Christie Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christie Chang

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

All Works

13 of 13 papers shown
1.
Turco, Gina, Christie Chang, Brianna Richardson, et al.. (2023). Global analysis of the yeast knockout phenome. Science Advances. 9(21). eadg5702–eadg5702. 17 indexed citations
2.
Oughtred, Rose, Jennifer Rust, Christie Chang, et al.. (2020). The BioGRID database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactions. Protein Science. 30(1). 187–200. 949 indexed citations breakdown →
3.
Lee, Young-Suk, Arjun Krishnan, Rose Oughtred, et al.. (2019). A Computational Framework for Genome-wide Characterization of the Human Disease Landscape. Cell Systems. 8(2). 152–162.e6. 19 indexed citations
4.
Oughtred, Rose, Chris Stark, Bobby‐Joe Breitkreutz, et al.. (2018). The BioGRID interaction database: 2019 update. Nucleic Acids Research. 47(D1). D529–D541. 934 indexed citations breakdown →
5.
Banović, Nikola, et al.. (2017). Leveraging Human Routine Models to Detect and Generate Human Behaviors. 6683–6694. 17 indexed citations
6.
Chatr‐aryamontri, Andrew, Rose Oughtred, Lorrie Boucher, et al.. (2016). The BioGRID interaction database: 2017 update. Nucleic Acids Research. 45(D1). D369–D379. 705 indexed citations breakdown →
7.
Islamaj, Rezarta, Sun Kim, Andrew Chatr‐aryamontri, et al.. (2016). The BioC-BioGRID corpus: full text articles annotated for curation of protein–protein and genetic interactions. Database. 2017. baw147–baw147. 23 indexed citations
8.
Oughtred, Rose, Bobby‐Joe Breitkreutz, Lorrie Boucher, et al.. (2016). The BioGRID interaction database: integration of genetic, protein and chemical interactions and an improved network viewer. Faculty of 1000 Research Ltd. 5. 1 indexed citations
9.
Chang, Christie, et al.. (2015). The Set3 Complex Antagonizes the MYST Acetyltransferase Esa1 in the DNA Damage Response. Molecular and Cellular Biology. 35(21). 3714–3725. 11 indexed citations
10.
Chatr‐aryamontri, Andrew, Bobby‐Joe Breitkreutz, Sven Heinicke, et al.. (2012). The BioGRID interaction database: 2013 update. Nucleic Acids Research. 41(D1). D816–D823. 728 indexed citations breakdown →
11.
Chang, Christie, Astrid Clarke, & Lorraine Pillus. (2012). Suppression Analysis ofesa1Mutants inSaccharomyces cerevisiaeLinksNAB3to Transcriptional Silencing and Nucleolar Functions. G3 Genes Genomes Genetics. 2(10). 1223–1232. 8 indexed citations
13.
Lafon, Anne, Christie Chang, Erin M. Scott, Sandra Jacobson, & Lorraine Pillus. (2007). MYST opportunities for growth control: yeast genes illuminate human cancer gene functions. Oncogene. 26(37). 5373–5384. 51 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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