Philip J. Kitson
- Biomedical Engineering top 1%
- Materials Chemistry top 5%
- Automotive Engineering top 1%
- Electrical and Electronic Engineering top 10%
- Molecular Biology
- Co-authors
- Leroy CroninVincenza DragoneVíctor SansMali H. RosnesMark D. SymesStefan GlatzelGeoffrey J. T. CooperCraig J. Richmond
- Topics
- Innovative Microfluidic and Catalytic Techniques Innovation (16 papers)Machine Learning in Materials Science (8 papers)Chemical Synthesis and Analysis (7 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Philip J. Kitson
30 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Biomedical Engineering 1.8k
- Materials Chemistry 777
- Automotive Engineering 646
- Electrical and Electronic Engineering 399
- Molecular Biology 295
Countries citing papers authored by Philip J. Kitson
This map shows the geographic impact of Philip J. Kitson'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 Philip J. Kitson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip J. Kitson more than expected).
Fields of papers citing papers by Philip J. Kitson
This network shows the impact of papers produced by Philip J. Kitson. 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 Philip J. Kitson. The network helps show where Philip J. Kitson may publish in the future.
Co-authorship network of co-authors of Philip J. Kitson
This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Kitson. A scholar is included among the top collaborators of Philip J. Kitson 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 Philip J. Kitson. Philip J. Kitson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 2 | |
| 3 | 55 | |
| 4 | 2 | |
| 5 | 25 | |
| 6 | 40 | |
| 7 | 25 | |
| 8 | Organic synthesis in a modular robotic system driven by a chemical programming languagebreakdown → | 438 |
| 9 | 179 | |
| 10 | 41 | |
| 11 | 9 | |
| 12 | 117 | |
| 13 | 31 | |
| 14 | 24 | |
| 15 | 64 | |
| 16 | 144 | |
| 17 | Integrated 3D-printed reactionware for chemical synthesis and analysisbreakdown → | 501 |
| 18 | Configurable 3D-Printed millifluidic and microfluidic ‘lab on a chip’ reactionware devicesbreakdown → | 403 |
| 19 | 46 | |
| 20 | 15 |
About Philip J. Kitson
Philip J. Kitson is a scholar working on Biomedical Engineering, Materials Chemistry and Energy Engineering and Power Technology, having authored 30 papers that have together received 2.8k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (16 papers), Machine Learning in Materials Science (8 papers) and Chemical Synthesis and Analysis (7 papers). The work is most often cited by research in Automotive Engineering (646 citations), Biomedical Engineering (1.8k citations) and Materials Chemistry (777 citations). Philip J. Kitson has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Leroy Cronin, Vincenza Dragone, Víctor Sans, Mali H. Rosnes, Mark D. Symes, Stefan Glatzel, Geoffrey J. T. Cooper, Craig J. Richmond, Turlif Vilbrandt and Richard Bowman. Their work appears in journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.