Paul C. Brown
- Molecular Biology
- Biomedical Engineering
- Small Animals top 5%
- Computational Theory and Mathematics top 10%
- Immunology
- Co-authors
- Ronald L. WangeAbigail JacobsJackye PeretzDonna L. MendrickKaren Davis‐BrunoWafa HarroukTodd BourcierShwu‐Luan Lee
- Topics
- Animal testing and alternatives (7 papers)Immunotoxicology and immune responses (4 papers)Computational Drug Discovery Methods (3 papers)
- Partner nations
- United StatesThailandGermany
In The Last Decade
Paul C. Brown
22 papers receiving 331 citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 91
- Biomedical Engineering 68
- Small Animals 66
- Computational Theory and Mathematics 59
- Immunology 49
Countries citing papers authored by Paul C. Brown
This map shows the geographic impact of Paul C. 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 Paul C. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul C. Brown more than expected).
Fields of papers citing papers by Paul C. Brown
This network shows the impact of papers produced by Paul C. 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 Paul C. Brown. The network helps show where Paul C. Brown may publish in the future.
Co-authorship network of co-authors of Paul C. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Paul C. Brown. A scholar is included among the top collaborators of Paul C. 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 Paul C. Brown. Paul C. 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 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 31 | |
| 5 | 12 | |
| 6 | 11 | |
| 7 | 28 | |
| 8 | 112 | |
| 9 | 29 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | Genes y memes | 0 |
| 13 | 10 | |
| 14 | 17 | |
| 15 | Cloning and characterization of the 5′ upstream region of the human primary response gene EGR-3 | 1 |
| 16 | 24 | |
| 17 | Propfan Test Assessment (PTA) | 3 |
| 18 | 8 | |
| 19 | 8 | |
| 20 | Acoustic test and analysis of a counterrotating prop-fan model | 6 |
About Paul C. Brown
Paul C. Brown is a scholar working on Small Animals, Immunology and Statistics and Probability, having authored 26 papers that have together received 351 indexed citations. Recurring topics across this work include Animal testing and alternatives (7 papers), Immunotoxicology and immune responses (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Small Animals (66 citations), Chemical Health and Safety (3 citations) and Computational Theory and Mathematics (59 citations). Paul C. Brown has collaborated with scholars based in United States, Thailand and Germany. Frequent co-authors include Ronald L. Wange, Abigail Jacobs, Jackye Peretz, Donna L. Mendrick, Karen Davis‐Bruno, Wafa Harrouk, Todd Bourcier, Shwu‐Luan Lee, Jill Merrill and Ikram Elayan. Their work appears in journals such as Science, Environmental Health Perspectives and Biochemical Pharmacology.
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.