Christie Chang

6.8k citations
13 papers · 3.5k indexed · 4 hit papers · h-index 11

Christie Chang

13 papers receiving 3.5k citations

Hit Papers

The BioGRID database: A comprehensiv...9492012202620162021250500750

Peers

Christie Chang
Comparison fields: 5 of 133
  • Molecular Biology 2.9k
  • Computational Theory and Mathematics 505
  • Aging 49
  • Cancer Research 279
  • Cell Biology 295
Replace Jennifer Rust with:
Jennifer Rust United States
Lara O’Donnell Canada
Jasmin Coulombe‐Huntington Canada
C. Stark Canada
Andrew Chatr‐aryamontri United States
Chris Stark Canada
Kengo Kinoshita Japan
Rose Oughtred United States
Yuri Nikolsky United States
Michael Livstone United States
Christie Chang relative to Jennifer Rust United States Jennifer Rust's profile →
Citations per field
00.5×1.5×
Jennifer Rust · 1×
Citations per year

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

The 25 scholars most cited alongside Christie Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christie Chang Line = papers co-authored together Christie Chang links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202317
2
The BioGRID database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactionsbreakdown →
2020949
3 201919
4
The BioGRID interaction database: 2019 updatebreakdown →
2018934
5 201717
6
The BioGRID interaction database: 2017 updatebreakdown →
2016705
7 201623
8 20161
9 201511
10
The BioGRID interaction database: 2013 updatebreakdown →
2012728
11 20128
12 200931
13 200751

About Christie Chang

Christie Chang is a scholar working on Molecular Biology, Genetics and Neurology, having authored 13 papers that have together received 3.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Ubiquitin and proteasome pathways (5 papers), Biomedical Text Mining and Ontologies (4 papers), Genomics and Chromatin Dynamics (4 papers), Genomics and Rare Diseases (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Fungal and yeast genetics research (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Molecular Biology (2.9k citations), Computational Theory and Mathematics (505 citations) and Aging (49 citations). Christie Chang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent 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.

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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