Catherine A. Loynes
- Immunology top 2%
- Cell Biology top 2%
- Molecular Biology
- Neurology top 5%
- Neurology top 10%
- Co-authors
- Stephen A. RenshawMoira K. B. WhytePhilip W. InghamStone ElworthyAnne L. RobertsonKatherine M. HenryPhilip M. ElksFelix Ellett
- Topics
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms (13 papers)Immune Response and Inflammation (11 papers)Zebrafish Biomedical Research Applications (11 papers)
- Cited by
- ImmunologyCell BiologyNeurology
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBlood
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Catherine A. Loynes
20 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Immunology 953
- Cell Biology 711
- Molecular Biology 587
- Neurology 181
- Neurology 141
Countries citing papers authored by Catherine A. Loynes
This map shows the geographic impact of Catherine A. Loynes'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 Catherine A. Loynes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine A. Loynes more than expected).
Fields of papers citing papers by Catherine A. Loynes
This network shows the impact of papers produced by Catherine A. Loynes. 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 Catherine A. Loynes. The network helps show where Catherine A. Loynes may publish in the future.
Co-authorship network of co-authors of Catherine A. Loynes
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine A. Loynes. A scholar is included among the top collaborators of Catherine A. Loynes 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 Catherine A. Loynes. Catherine A. Loynes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 42 | |
| 6 | 26 | |
| 7 | 26 | |
| 8 | 98 | |
| 9 | 166 | |
| 10 | 10 | |
| 11 | 28 | |
| 12 | 116 | |
| 13 | 20 | |
| 14 | 27 | |
| 15 | 89 | |
| 16 | 140 | |
| 17 | 31 | |
| 18 | A transgenic zebrafish model of neutrophilic inflammation. Commentary | 1 |
| 19 | A transgenic zebrafish model of neutrophilic inflammationbreakdown → | 778 |
| 20 | 163 |
About Catherine A. Loynes
Catherine A. Loynes is a scholar working on Immunology, Cell Biology and Biochemistry, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (13 papers), Immune Response and Inflammation (11 papers) and Zebrafish Biomedical Research Applications (11 papers). The work is most often cited by research in Immunology (953 citations), Cell Biology (711 citations) and Neurology (181 citations). Catherine A. Loynes has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Stephen A. Renshaw, Moira K. B. Whyte, Philip W. Ingham, Stone Elworthy, Anne L. Robertson, Katherine M. Henry, Philip M. Elks, Felix Ellett, Yi Feng and Bruce D. Levy. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.
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.