Lorna Wilkinson‐White
- Molecular Biology
- Cell Biology
- Genetics top 10%
- Genetics
- Hematology top 10%
- Co-authors
- Jacqueline M. MatthewsJoel P. MackaySimon B. Easterbrook‐SmithMerlin CrossleyBeeke WienertAmy E. CampbellGerd A. BlobelKate Quinlan
- Topics
- Protein Degradation and Inhibitors (4 papers)RNA and protein synthesis mechanisms (4 papers)Genomics and Chromatin Dynamics (4 papers)
- Cited by
- GeneticsHematologyCell Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Lorna Wilkinson‐White
24 papers receiving 521 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 352
- Cell Biology 103
- Genetics 100
- Genetics 100
- Hematology 77
Countries citing papers authored by Lorna Wilkinson‐White
This map shows the geographic impact of Lorna Wilkinson‐White'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 Lorna Wilkinson‐White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorna Wilkinson‐White more than expected).
Fields of papers citing papers by Lorna Wilkinson‐White
This network shows the impact of papers produced by Lorna Wilkinson‐White. 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 Lorna Wilkinson‐White. The network helps show where Lorna Wilkinson‐White may publish in the future.
Co-authorship network of co-authors of Lorna Wilkinson‐White
This figure shows the co-authorship network connecting the top 25 collaborators of Lorna Wilkinson‐White. A scholar is included among the top collaborators of Lorna Wilkinson‐White 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 Lorna Wilkinson‐White. Lorna Wilkinson‐White is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 24 | |
| 7 | 32 | |
| 8 | 5 | |
| 9 | 17 | |
| 10 | 18 | |
| 11 | 44 | |
| 12 | 12 | |
| 13 | 99 | |
| 14 | 39 | |
| 15 | 1 | |
| 16 | 113 | |
| 17 | 7 | |
| 18 | 39 | |
| 19 | 5 | |
| 20 | 11 |
About Lorna Wilkinson‐White
Lorna Wilkinson‐White is a scholar working on Molecular Biology, Hematology and Molecular Medicine, having authored 25 papers that have together received 528 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (4 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Genetics (100 citations), Hematology (77 citations) and Cell Biology (103 citations). Lorna Wilkinson‐White has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Jacqueline M. Matthews, Joel P. Mackay, Simon B. Easterbrook‐Smith, Merlin Crossley, Beeke Wienert, Amy E. Campbell, Gerd A. Blobel, Kate Quinlan, Matthew H. Porteus and Alister P. W. Funnell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.