Chandra L. Theesfeld
- Molecular Biology top 2%
- Genetics top 5%
- Cell Biology top 2%
- Cancer Research top 10%
- Immunology and Allergy top 2%
- Co-authors
- Olga G. TroyanskayaDaniel J. LewAaron K. WongJian ZhouKara DolinskiJohn N. McMillanKevin YaoKathleen Chen
- Topics
- Fungal and yeast genetics research (8 papers)Bioinformatics and Genomic Networks (7 papers)Gene expression and cancer classification (7 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesNorwaySweden
In The Last Decade
Chandra L. Theesfeld
32 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 2.6k
- Genetics 515
- Cell Biology 494
- Cancer Research 260
- Immunology and Allergy 214
Countries citing papers authored by Chandra L. Theesfeld
This map shows the geographic impact of Chandra L. Theesfeld'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 Chandra L. Theesfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chandra L. Theesfeld more than expected).
Fields of papers citing papers by Chandra L. Theesfeld
This network shows the impact of papers produced by Chandra L. Theesfeld. 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 Chandra L. Theesfeld. The network helps show where Chandra L. Theesfeld may publish in the future.
Co-authorship network of co-authors of Chandra L. Theesfeld
This figure shows the co-authorship network connecting the top 25 collaborators of Chandra L. Theesfeld. A scholar is included among the top collaborators of Chandra L. Theesfeld 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 Chandra L. Theesfeld. Chandra L. Theesfeld is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 51 | |
| 5 | 20 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 19 | |
| 9 | 4 | |
| 10 | Deep learning sequence-based ab initio prediction of variant effects on expression and disease riskbreakdown → | 332 |
| 11 | 68 | |
| 12 | 265 | |
| 13 | The BioGRID interaction database: 2017 updatebreakdown → | 705 |
| 14 | 35 | |
| 15 | 161 | |
| 16 | 64 | |
| 17 | 59 | |
| 18 | 69 | |
| 19 | 22 | |
| 20 | 146 |
About Chandra L. Theesfeld
Chandra L. Theesfeld is a scholar working on Molecular Biology, Immunology and Allergy and Cell Biology, having authored 34 papers that have together received 3.3k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (8 papers), Bioinformatics and Genomic Networks (7 papers) and Gene expression and cancer classification (7 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Immunology and Allergy (214 citations) and Cell Biology (494 citations). Chandra L. Theesfeld has collaborated with scholars based in United States, Norway and Sweden. Frequent co-authors include Olga G. Troyanskaya, Daniel J. Lew, Aaron K. Wong, Jian Zhou, Kara Dolinski, John N. McMillan, Kevin Yao, Kathleen Chen, Mark S. Longtine and John R. Pringle. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.