Christine Zardecki
- Molecular Biology top 2%
- Computational Theory and Mathematics top 0.5%
- Materials Chemistry top 5%
- Organic Chemistry top 5%
- Pharmacology top 5%
- Co-authors
- John WestbrookHelen M. BermanPhilip E. BourneWolfgang F. BluhmZukang FengDavid S. GoodsellJasmine YoungS.K. Burley
- Topics
- Genetics, Bioinformatics, and Biomedical Research (23 papers)Enzyme Structure and Function (22 papers)Protein Structure and Dynamics (21 papers)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Christine Zardecki
41 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 3.2k
- Computational Theory and Mathematics 897
- Materials Chemistry 778
- Organic Chemistry 414
- Pharmacology 269
Countries citing papers authored by Christine Zardecki
This map shows the geographic impact of Christine Zardecki'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 Christine Zardecki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Zardecki more than expected).
Fields of papers citing papers by Christine Zardecki
This network shows the impact of papers produced by Christine Zardecki. 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 Christine Zardecki. The network helps show where Christine Zardecki may publish in the future.
Co-authorship network of co-authors of Christine Zardecki
This figure shows the co-authorship network connecting the top 25 collaborators of Christine Zardecki. A scholar is included among the top collaborators of Christine Zardecki 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 Christine Zardecki. Christine Zardecki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 16 | |
| 8 | 233 | |
| 9 | 27 | |
| 10 | 68 | |
| 11 | 421 | |
| 12 | 61 | |
| 13 | 379 | |
| 14 | The RCSB Protein Data Bank: redesigned web site and web servicesbreakdown → | 516 |
| 15 | 6 | |
| 16 | The Protein Data Bank (PDB) | NIST | 4 |
| 17 | The Protein Data Bankbreakdown → | 2025 |
| 18 | 125 | |
| 19 | 16 | |
| 20 | 1 |
About Christine Zardecki
Christine Zardecki is a scholar working on Structural Biology, Molecular Biology and Materials Chemistry, having authored 45 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (23 papers), Enzyme Structure and Function (22 papers) and Protein Structure and Dynamics (21 papers). The work is most often cited by research in Computational Theory and Mathematics (897 citations), Molecular Biology (3.2k citations) and Structural Biology (37 citations). Christine Zardecki has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include John Westbrook, Helen M. Berman, Philip E. Bourne, Wolfgang F. Bluhm, Zukang Feng, David S. Goodsell, Jasmine Young, S.K. Burley, Lisa Iype and Bohdan Schneider. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.
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.