Joanna Galea‐Lauri
- Molecular Biology
- Immunology top 5%
- Genetics top 5%
- Oncology top 10%
- Rheumatology top 10%
- Co-authors
- Farzin FarzanehPaul D. RobbinsDavid DarlingH. I. GeorgescuGeethani BandaraJoop GäkenDavid R. KatzPhillip Harrison
- Topics
- Immunotherapy and Immune Responses (12 papers)Virus-based gene therapy research (10 papers)Immune Cell Function and Interaction (9 papers)
- Cited by
- ImmunologyGeneticsOncology
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Joanna Galea‐Lauri
33 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 634
- Immunology 618
- Genetics 437
- Oncology 386
- Rheumatology 152
Countries citing papers authored by Joanna Galea‐Lauri
This map shows the geographic impact of Joanna Galea‐Lauri'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 Joanna Galea‐Lauri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna Galea‐Lauri more than expected).
Fields of papers citing papers by Joanna Galea‐Lauri
This network shows the impact of papers produced by Joanna Galea‐Lauri. 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 Joanna Galea‐Lauri. The network helps show where Joanna Galea‐Lauri may publish in the future.
Co-authorship network of co-authors of Joanna Galea‐Lauri
This figure shows the co-authorship network connecting the top 25 collaborators of Joanna Galea‐Lauri. A scholar is included among the top collaborators of Joanna Galea‐Lauri 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 Joanna Galea‐Lauri. Joanna Galea‐Lauri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 28 | |
| 3 | 30 | |
| 4 | 64 | |
| 5 | 41 | |
| 6 | 113 | |
| 7 | 32 | |
| 8 | A comparison of CTL induction by different methods of antigen loading of monocyte-derived dendritic cells | 2 |
| 9 | 67 | |
| 10 | 51 | |
| 11 | 14 | |
| 12 | A whole blood facscan assay to look at cytokine production by NK cells in cancer patients. | 15 |
| 13 | 70 | |
| 14 | 15 | |
| 15 | 30 | |
| 16 | 11 | |
| 17 | 32 | |
| 18 | 123 | |
| 19 | 33 | |
| 20 | 16 |
About Joanna Galea‐Lauri
Joanna Galea‐Lauri is a scholar working on Immunology, Immunology and Allergy and Genetics, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), Virus-based gene therapy research (10 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Immunology (618 citations), Genetics (437 citations) and Oncology (386 citations). Joanna Galea‐Lauri has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Farzin Farzaneh, Paul D. Robbins, David Darling, H. I. Georgescu, Geethani Bandara, Joop Gäken, David R. Katz, Phillip Harrison, M H Tindal and Maureen K. Suchanek. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.
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.