Fiona M. McConnell

3.5k total citations · 1 hit paper
44 papers, 2.8k citations indexed

About

Fiona M. McConnell is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Fiona M. McConnell has authored 44 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Fiona M. McConnell's work include T-cell and B-cell Immunology (30 papers), Immune Cell Function and Interaction (25 papers) and Immunotherapy and Immune Responses (14 papers). Fiona M. McConnell is often cited by papers focused on T-cell and B-cell Immunology (30 papers), Immune Cell Function and Interaction (25 papers) and Immunotherapy and Immune Responses (14 papers). Fiona M. McConnell collaborates with scholars based in United Kingdom, United States and Switzerland. Fiona M. McConnell's 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 and has published in prestigious journals such as Science, The Journal of Experimental Medicine and Blood.

In The Last Decade

Fiona M. McConnell

44 papers receiving 2.8k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Group 3 innate lymphoid cells mediate intestinal selection of commensal bacteria–specific CD4 ⁺ T cells

2015 378 citations Matthew R. Hepworth, Thomas C. Fung et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fiona M. McConnell United Kingdom	26	2.2k	506	468	343	195	44	2.8k
Sachiko Suematsu Japan	18	1.6k 0.7×	782 1.5×	319 0.7×	430 1.3×	92 0.5×	31	2.6k
Joost P. M. van Meerwijk France	25	2.5k 1.1×	1.0k 2.0×	144 0.3×	504 1.5×	116 0.6×	55	3.6k
M F Luciani France	12	1.5k 0.7×	717 1.4×	249 0.5×	488 1.4×	66 0.3×	17	2.2k
Bruno Lucas France	32	2.3k 1.0×	443 0.9×	124 0.3×	480 1.4×	81 0.4×	73	2.9k
Dimitrios Balomenos Spain	24	1.5k 0.7×	757 1.5×	114 0.2×	586 1.7×	159 0.8×	39	2.5k
Rosetta Kingston United Kingdom	19	1.7k 0.7×	788 1.6×	100 0.2×	398 1.2×	249 1.3×	26	2.5k
Tadamitsu Kishimoto Japan	17	1.2k 0.6×	999 2.0×	191 0.4×	780 2.3×	82 0.4×	29	2.6k
Yojiro Kawabe Japan	22	898 0.4×	520 1.0×	102 0.2×	247 0.7×	98 0.5×	51	1.8k
Denise L. Faustman United States	23	1.0k 0.5×	480 0.9×	550 1.2×	330 1.0×	81 0.4×	55	2.0k
M L Blue United States	19	904 0.4×	386 0.8×	164 0.4×	162 0.5×	256 1.3×	25	1.6k

Countries citing papers authored by Fiona M. McConnell

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Fiona M. McConnell

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona M. McConnell. A scholar is included among the top collaborators of Fiona M. McConnell 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 Fiona M. McConnell. Fiona M. McConnell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ulvmar, Maria H., David R. Withers, Fiona M. McConnell, et al.. (2017). Concurrent OX40 and CD30 Ligand Blockade Abrogates the CD4-Driven Autoimmunity Associated with CTLA4 and PD1 Blockade while Preserving Excellent Anti-CD8 Tumor Immunity. The Journal of Immunology. 199(3). 974–981. 4 indexed citations

Hepworth, Matthew R., Thomas C. Fung, Judith R. Kelsen, et al.. (2015). Group 3 innate lymphoid cells mediate intestinal selection of commensal bacteria–specific CD4 ⁺ T cells. Science. 348(6238). 1031–1035. 378 indexed citations breakdown →

Lane, Peter J. L., Fabrina Gaspal, Fiona M. McConnell, David R. Withers, & Graham Anderson. (2012). Lymphoid Tissue Inducer Cells: Pivotal Cells in the Evolution of CD4 Immunity and Tolerance?. Frontiers in Immunology. 3. 24–24. 20 indexed citations

Gaspal, Fabrina, David R. Withers, Manoj Saini, et al.. (2011). Abrogation of CD30 and OX40 signals prevents autoimmune disease in FoxP3-deficient mice. The Journal of Experimental Medicine. 208(8). 1579–1584. 49 indexed citations

Lane, Peter J. L., Fiona M. McConnell, David R. Withers, et al.. (2010). Lymphoid Tissue Inducer Cells and the Evolution of CD4 Dependent High-Affinity Antibody Responses. Progress in molecular biology and translational science. 92. 159–174. 8 indexed citations

Withers, David R., Elin Jaensson Gyllenbäck, Fabrina Gaspal, et al.. (2009). The Survival of Memory CD4+ T Cells within the Gut Lamina Propria Requires OX40 and CD30 Signals. The Journal of Immunology. 183(8). 5079–5084. 37 indexed citations

Bekiaris, Vasileios, Fabrina Gaspal, Mi‐Yeon Kim, et al.. (2009). CD30 Is Required for CCL21 Expression and CD4 T Cell Recruitment in the Absence of Lymphotoxin Signals. The Journal of Immunology. 182(8). 4771–4775. 15 indexed citations

Lane, Peter J. L., Fiona M. McConnell, David R. Withers, et al.. (2009). Lymphoid tissue inducer cells: bridges between the ancient innate and the modern adaptive immune systems. Mucosal Immunology. 2(6). 472–477. 27 indexed citations

Kim, Mi Young, Kyung Soo Kim, Fiona M. McConnell, & Peter J. L. Lane. (2009). Lymphoid tissue inducer cells: architects of CD4 immune responses in mice and men. Clinical & Experimental Immunology. 157(1). 20–26. 26 indexed citations

10.

Bekiaris, Vasileios, Tie Zheng Hou, Kai‐Michael Toellner, et al.. (2008). Ly49H+ NK Cells Migrate to and Protect Splenic White Pulp Stroma from Murine Cytomegalovirus Infection. The Journal of Immunology. 180(10). 6768–6776. 39 indexed citations

11.

Lane, Peter J. L., Mi‐Yeon Kim, David R. Withers, et al.. (2008). Lymphoid tissue inducer cells in adaptive CD4 T cell dependent responses. Seminars in Immunology. 20(3). 159–163. 18 indexed citations

12.

Bekiaris, Vasileios, David R. Withers, Fiona M. McConnell, et al.. (2007). Role of CD30 in B/T Segregation in the Spleen. The Journal of Immunology. 179(11). 7535–7543. 26 indexed citations

13.

Kim, Mi‐Yeon, Kai‐Michael Toellner, Andrea J. White, et al.. (2006). Neonatal and Adult CD4+CD3− Cells Share Similar Gene Expression Profile, and Neonatal Cells Up-Regulate OX40 Ligand in Response to TL1A (TNFSF15). The Journal of Immunology. 177(5). 3074–3081. 67 indexed citations

14.

Kim, Mi‐Yeon, Vasileios Bekiaris, Fiona M. McConnell, et al.. (2005). OX40 Signals during Priming on Dendritic Cells Inhibit CD4 T Cell Proliferation: IL-4 Switches off OX40 Signals Enabling Rapid Proliferation of Th2 Effectors. The Journal of Immunology. 174(3). 1433–1437. 24 indexed citations

15.

Kim, Mi‐Yeon, Fabrina Gaspal, Fiona M. McConnell, et al.. (2003). CD4+CD3− Accessory Cells Costimulate Primed CD4 T Cells through OX40 and CD30 at Sites Where T Cells Collaborate with B Cells. Immunity. 18(5). 643–654. 196 indexed citations

16.

Lane, Peter J. L., et al.. (1995). CD40 ligand‐independent B cell activation revealed by CD40 ligand‐deficient T cell clones: evidence for distinct activation requirements for antibody formation and B cell proliferation. European Journal of Immunology. 25(6). 1788–1793. 59 indexed citations

17.

Lane, Peter J. L., Fiona M. McConnell, Edward A. Clark, & Elizabeth Mellins. (1991). Rapid signaling to B cells by antigen-specific T cells requires CD18/CD54 interaction. The Journal of Immunology. 147(12). 4103–4108. 23 indexed citations

18.

White, Michael W., Fiona M. McConnell, G L Shu, David Morris, & Edward A. Clark. (1991). Activation of dense human tonsilar B cells. Induction of c-myc gene expression via two distinct signal transduction pathways. The Journal of Immunology. 146(3). 846–853. 23 indexed citations

19.

French, Philip J., Christopher M. Bunce, Len Stephens, et al.. (1991). Changes in the levels of inositol lipids and phosphates during the differentiation of HL60 promyelocytic cells towards neutrophils or monocytes. Proceedings of the Royal Society B Biological Sciences. 245(1314). 193–201. 54 indexed citations

20.

Musch, Mark W., Fiona M. McConnell, Leonard D. Goldstein, & Michael Field. (1987). Tyrosine transport in winter flounder intestine: interaction with Na+-K+-2Cl- cotransport. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 253(2). R264–R269. 4 indexed citations

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.

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