Stephen J. Lalor
- Immunology top 1%
- Molecular Biology top 10%
- Pathology and Forensic Medicine top 2%
- Neurology top 2%
- Oncology top 10%
- Co-authors
- Kingston H. G. MillsCheryl SweeneyCaroline E. SuttonEd C. LavelleCorinna F. BreretonJean M. FletcherNiall TubridyMarina A. Lynch
- Topics
- T-cell and B-cell Immunology (10 papers)Immune Response and Inflammation (7 papers)Immune Cell Function and Interaction (6 papers)
- Partner nations
- IrelandUnited StatesCanada
In The Last Decade
Stephen J. Lalor
21 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Immunology 2.3k
- Molecular Biology 751
- Pathology and Forensic Medicine 565
- Neurology 426
- Oncology 400
Countries citing papers authored by Stephen J. Lalor
This map shows the geographic impact of Stephen J. Lalor'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 Stephen J. Lalor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen J. Lalor more than expected).
Fields of papers citing papers by Stephen J. Lalor
This network shows the impact of papers produced by Stephen J. Lalor. 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 Stephen J. Lalor. The network helps show where Stephen J. Lalor may publish in the future.
Co-authorship network of co-authors of Stephen J. Lalor
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Lalor. A scholar is included among the top collaborators of Stephen J. Lalor 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 Stephen J. Lalor. Stephen J. Lalor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 22 | |
| 5 | 18 | |
| 6 | 51 | |
| 7 | 27 | |
| 8 | 47 | |
| 9 | 136 | |
| 10 | 110 | |
| 11 | 47 | |
| 12 | 23 | |
| 13 | 290 | |
| 14 | 1 | |
| 15 | 50 | |
| 16 | 54 | |
| 17 | 375 | |
| 18 | Interleukin-1 and IL-23 Induce Innate IL-17 Production from γδ T Cells, Amplifying Th17 Responses and Autoimmunitybreakdown → | 1266 |
| 19 | 92 | |
| 20 | Gill & Macmillan annotated Constitution of Ireland, 1937-1994: With commentary | 3 |
About Stephen J. Lalor
Stephen J. Lalor is a scholar working on Immunology, Dermatology and Pathology and Forensic Medicine, having authored 22 papers that have together received 3.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immune Response and Inflammation (7 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Immunology (2.3k citations), Neurology (426 citations) and Biological Psychiatry (100 citations). Stephen J. Lalor has collaborated with scholars based in Ireland, United States and Canada. Frequent co-authors include Kingston H. G. Mills, Cheryl Sweeney, Caroline E. Sutton, Ed C. Lavelle, Corinna F. Brereton, Jean M. Fletcher, Niall Tubridy, Marina A. Lynch, Áine C. Murphy and Rachel M. McLoughlin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Immunity 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.