Bridget Currell
Impact in
-
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- Bioinformatics and Genomic Networks
- Protein Kinase Regulation and GTPase Signaling
- Machine Learning in Bioinformatics
- Fungal and yeast genetics research
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
-
- Cellular transport and secretion 2
-
- Protein Structure and Dynamics 3
- Protein Kinase Regulation and GTPase Signaling 1
- Chemical Synthesis and Analysis 1
- Fungal and yeast genetics research 1
- Co-authors
- Sachdev S. Sidhu (3 shared papers)Somasekar Seshagiri (2 shared papers)Stephen L. Sazinsky (2 shared papers)Gary D. Bader (2 shared papers)Chris Sander (1 shared paper)Yingnan Zhang (1 shared paper)Andrew C. Chan (1 shared paper)Jung-Hua Yeh (1 shared paper)
- Journals
- Journal of Molecular Biology (2 papers)PLoS Biology (2 papers)Science Signaling (1 paper)Molecular Systems Biology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Bridget Currell
6 papers receiving 670 citations
Peers
Comparison fields: 5 of 47
- Molecular Biology 499
- Cell Biology 103
- Immunology and Allergy 16
- Spectroscopy 32
- Biochemistry 11
Countries citing papers authored by Bridget Currell
This map shows the geographic impact of Bridget Currell'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 Bridget Currell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bridget Currell more than expected).
Fields of papers citing papers by Bridget Currell
This network shows the impact of papers produced by Bridget Currell. 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 Bridget Currell. The network helps show where Bridget Currell may publish in the future.
Co-authors
The 25 scholars most cited alongside Bridget Currell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 390 | |
| 2 | 2009 | 153 | |
| 3 | 2013 | 55 | |
| 4 | 2009 | 49 | |
| 5 | 2005 | 27 | |
| 6 | 2009 | 7 |
About Bridget Currell
Bridget Currell is a scholar working on Cell Biology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 6 papers that have together received 681 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Cellular transport and secretion (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Chemical Synthesis and Analysis (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Fungal and yeast genetics research (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Molecular Biology (499 citations), Cell Biology (103 citations), Immunology and Allergy (16 citations), Spectroscopy (32 citations) and Biochemistry (11 citations). Bridget Currell has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Sachdev S. Sidhu, Somasekar Seshagiri, Stephen L. Sazinsky, Gary D. Bader, Chris Sander, Yingnan Zhang, Andrew C. Chan, Jung-Hua Yeh, Yan Wu and Raffi Tonikian. Their work appears in journals such as Journal of Molecular Biology, PLoS Biology, Science Signaling and Molecular Systems Biology.
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.