Fiona M. McConnell
- Immunology top 1%
- T-cell and B-cell Immunology 30
- Immune Cell Function and Interaction 25
- Immunotherapy and Immune Responses 14
- IL-33, ST2, and ILC Pathways 7
- Immune Response and Inflammation 6
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 4
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers 2
- Surgery top 10%
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Peter J. L. LaneFabrina GaspalMi‐Yeon KimGraham AndersonDavid R. WithersAntonio LanzavecchiaEdward A. ClarkVasileios Bekiaris
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Fiona M. McConnell
44 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 2.2k
- Immunology and Allergy 120
- Oncology 343
- Surgery 468
- Cancer Research 130
Countries citing papers authored by Fiona M. McConnell
This map shows the geographic impact of Fiona M. McConnell'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 Fiona M. McConnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiona M. McConnell more than expected).
Fields of papers citing papers by Fiona M. McConnell
This network shows the impact of papers produced by Fiona M. McConnell. 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 Fiona M. McConnell. The network helps show where Fiona M. McConnell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fiona M. McConnell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 4 | |
| 2 | Group 3 innate lymphoid cells mediate intestinal selection of commensal bacteria–specific CD4 + T cellsbreakdown → | 2015 | 378 |
| 3 | 2014 | 5 | |
| 4 | 2012 | 12 | |
| 5 | 2012 | 20 | |
| 6 | 2011 | 49 | |
| 7 | 2010 | 8 | |
| 8 | 2009 | 37 | |
| 9 | 2009 | 15 | |
| 10 | 2009 | 27 | |
| 11 | 2008 | 39 | |
| 12 | 2008 | 48 | |
| 13 | 2008 | 18 | |
| 14 | 2007 | 26 | |
| 15 | 2006 | 67 | |
| 16 | 2006 | 11 | |
| 17 | 2005 | 24 | |
| 18 | 1996 | 26 | |
| 19 | 1995 | 59 | |
| 20 | 1993 | 227 |
About Fiona M. McConnell
Fiona M. McConnell is a scholar working on Immunology, Immunology and Allergy and Oncology, having authored 44 papers that have together received 2.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (30 papers), Immune Cell Function and Interaction (25 papers), Immunotherapy and Immune Responses (14 papers), IL-33, ST2, and ILC Pathways (7 papers), Immune Response and Inflammation (6 papers), Cell Adhesion Molecules Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Immunology (2.2k citations), Immunology and Allergy (120 citations) and Oncology (343 citations). Fiona M. McConnell has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Peter J. L. Lane, Fabrina Gaspal, Mi‐Yeon Kim, Graham Anderson, David R. Withers, Antonio Lanzavecchia, Edward A. Clark, Vasileios Bekiaris, Chandra Raykundalia and Eric J. Jenkinson. Their work appears in journals such as Science, The Journal of Experimental Medicine 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.