Nadine K. Kolas
- Molecular Biology top 1%
- Oncology top 5%
- Genetics top 5%
- Cancer Research top 5%
- Cell Biology top 2%
- Co-authors
- Rose OughtredChris StarkKara DolinskiLorrie BoucherJennifer RustAndrew Chatr‐aryamontriBobby‐Joe BreitkreutzMike Tyers
- Topics
- DNA Repair Mechanisms (13 papers)Genomics and Chromatin Dynamics (7 papers)Bioinformatics and Genomic Networks (5 papers)
- Journals
- ScienceCellNucleic Acids Research
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Nadine K. Kolas
18 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 5.1k
- Oncology 813
- Genetics 648
- Cancer Research 596
- Cell Biology 570
Countries citing papers authored by Nadine K. Kolas
This map shows the geographic impact of Nadine K. Kolas'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 Nadine K. Kolas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadine K. Kolas more than expected).
Fields of papers citing papers by Nadine K. Kolas
This network shows the impact of papers produced by Nadine K. Kolas. 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 Nadine K. Kolas. The network helps show where Nadine K. Kolas may publish in the future.
Co-authorship network of co-authors of Nadine K. Kolas
This figure shows the co-authorship network connecting the top 25 collaborators of Nadine K. Kolas. A scholar is included among the top collaborators of Nadine K. Kolas 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 Nadine K. Kolas. Nadine K. Kolas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The | 949 |
| 2 | The BioGRID interaction database: 2019 updatebreakdown → | 934 |
| 3 | The BioGRID interaction database: 2017 updatebreakdown → | 705 |
| 4 | 1 | |
| 5 | The BioGRID interaction database: 2013 updatebreakdown → | 728 |
| 6 | 12 | |
| 7 | The RIDDLE Syndrome Protein Mediates a Ubiquitin-Dependent Signaling Cascade at Sites of DNA Damagebreakdown → | 599 |
| 8 | 31 | |
| 9 | Orchestration of the DNA-Damage Response by the RNF8 Ubiquitin Ligasebreakdown → | 719 |
| 10 | 6 | |
| 11 | 43 | |
| 12 | 98 | |
| 13 | 45 | |
| 14 | 63 | |
| 15 | 261 | |
| 16 | 173 | |
| 17 | 296 | |
| 18 | 159 |
About Nadine K. Kolas
Nadine K. Kolas is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research, having authored 18 papers that have together received 5.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (13 papers), Genomics and Chromatin Dynamics (7 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Molecular Biology (5.1k citations), Cancer Research (596 citations) and Aging (68 citations). Nadine K. Kolas has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Rose Oughtred, Chris Stark, Kara Dolinski, Lorrie Boucher, Jennifer Rust, Andrew Chatr‐aryamontri, Bobby‐Joe Breitkreutz, Mike Tyers, Christie Chang and Lara O’Donnell. Their work appears in journals such as Science, Cell and Nucleic Acids Research.
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.