Christina Brown
- Civil and Structural Engineering top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Mechanics of Materials
- Safety, Risk, Reliability and Quality top 10%
- Co-authors
- Robert L. TaylorWilliam LovegroveWarren LocketteL. E. GoodmanIan P. KingM. AggourPascale BriandVictor Ionâşescu
- Topics
- Probabilistic and Robust Engineering Design (3 papers)RNA Research and Splicing (3 papers)Wood Treatment and Properties (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Christina Brown
26 papers receiving 406 citations
Peers
Comparison fields: 5 of 106
- Civil and Structural Engineering 136
- Molecular Biology 104
- Cardiology and Cardiovascular Medicine 54
- Mechanics of Materials 46
- Safety, Risk, Reliability and Quality 39
Countries citing papers authored by Christina Brown
This map shows the geographic impact of Christina Brown'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 Christina Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Brown more than expected).
Fields of papers citing papers by Christina Brown
This network shows the impact of papers produced by Christina Brown. 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 Christina Brown. The network helps show where Christina Brown may publish in the future.
Co-authorship network of co-authors of Christina Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Brown. A scholar is included among the top collaborators of Christina Brown 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 Christina Brown. Christina Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 24 | |
| 4 | 43 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 17 | |
| 10 | 53 | |
| 11 | Subjective Probability and Membership Functions | 1 |
| 12 | ELISA assay for IgG autoantibody to G-actin: comparison of chronic active hepatitis and acute viral hepatitis. | 30 |
| 13 | 3 | |
| 14 | 38 | |
| 15 | 0 | |
| 16 | 9 | |
| 17 | 25 | |
| 18 | THE MODIFICATION OF THE PRESSURES ON RIGID CULVERTS WITH FILL PROCEDURES | 5 |
| 19 | 74 | |
| 20 | 23 |
About Christina Brown
Christina Brown is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Building and Construction, having authored 27 papers that have together received 443 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (3 papers), RNA Research and Splicing (3 papers) and Wood Treatment and Properties (2 papers). The work is most often cited by research in Civil and Structural Engineering (136 citations), Safety, Risk, Reliability and Quality (39 citations) and Hepatology (30 citations). Christina Brown has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Robert L. Taylor, William Lovegrove, Warren Lockette, L. E. Goodman, Ian P. King, M. Aggour, Pascale Briand, Victor Ionâşescu, Catherine Cavard and L Cathelineau. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Hypertension.
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.