Caroline M. McFarlane
- Biomedical Engineering top 10%
- Molecular Biology
- Water Science and Technology top 5%
- Computational Mechanics top 10%
- Materials Chemistry
- Co-authors
- Alvin W. NienowChristopher J. HewittGerhard Nebe‐Von CaronKatherine A. KentistouA. AmanullahThomas MartinSi TangZhibing Zhang
- Topics
- Fluid Dynamics and Mixing (7 papers)Viral Infectious Diseases and Gene Expression in Insects (4 papers)Innovative Microfluidic and Catalytic Techniques Innovation (3 papers)
- Journals
- Applied and Environmental MicrobiologyJournal of Colloid and Interface ScienceChemical Engineering Science
- Partner nations
- United KingdomSwedenNetherlands
In The Last Decade
Caroline M. McFarlane
21 papers receiving 834 citations
Peers
Comparison fields: 5 of 103
- Biomedical Engineering 420
- Molecular Biology 370
- Water Science and Technology 173
- Computational Mechanics 104
- Materials Chemistry 86
Countries citing papers authored by Caroline M. McFarlane
This map shows the geographic impact of Caroline M. McFarlane'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 Caroline M. McFarlane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline M. McFarlane more than expected).
Fields of papers citing papers by Caroline M. McFarlane
This network shows the impact of papers produced by Caroline M. McFarlane. 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 Caroline M. McFarlane. The network helps show where Caroline M. McFarlane may publish in the future.
Co-authorship network of co-authors of Caroline M. McFarlane
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline M. McFarlane. A scholar is included among the top collaborators of Caroline M. McFarlane 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 Caroline M. McFarlane. Caroline M. McFarlane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 105 | |
| 3 | 2 | |
| 4 | 60 | |
| 5 | 4 | |
| 6 | 72 | |
| 7 | 28 | |
| 8 | 120 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 81 | |
| 12 | 16 | |
| 13 | 71 | |
| 14 | 16 | |
| 15 | 56 | |
| 16 | 23 | |
| 17 | 7 | |
| 18 | 27 | |
| 19 | 42 | |
| 20 | 25 |
About Caroline M. McFarlane
Caroline M. McFarlane is a scholar working on Physical and Theoretical Chemistry, Biotechnology and Water Science and Technology, having authored 21 papers that have together received 869 indexed citations. Recurring topics across this work include Fluid Dynamics and Mixing (7 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). The work is most often cited by research in Water Science and Technology (173 citations), Biomedical Engineering (420 citations) and Biotechnology (74 citations). Caroline M. McFarlane has collaborated with scholars based in United Kingdom, Sweden and Netherlands. Frequent co-authors include Alvin W. Nienow, Christopher J. Hewitt, Gerhard Nebe‐Von Caron, Katherine A. Kentistou, A. Amanullah, Thomas Martin, Si Tang, Zhibing Zhang, Jon A. Preece and Gerhard Nebe‐von‐Caron. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Colloid and Interface Science and Chemical Engineering Science.
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.