Kyle T. Cunningham

662 total citations · 1 hit paper
13 papers, 477 citations indexed

About

Kyle T. Cunningham is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Kyle T. Cunningham has authored 13 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Kyle T. Cunningham's work include Immune responses and vaccinations (4 papers), Bone Tissue Engineering Materials (2 papers) and Graphene and Nanomaterials Applications (2 papers). Kyle T. Cunningham is often cited by papers focused on Immune responses and vaccinations (4 papers), Bone Tissue Engineering Materials (2 papers) and Graphene and Nanomaterials Applications (2 papers). Kyle T. Cunningham collaborates with scholars based in United Kingdom, Ireland and United States. Kyle T. Cunningham's co-authors include Kingston H. G. Mills, Aisling Dunne, Olwyn R. Mahon, Daniel J. Kelly, Pierluca Pitacco, David C. Browe, Valeria Nicolosi, Christopher Hobbs, Stanislas Von Euw and Tomas Gonzalez‐Fernandez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kyle T. Cunningham

13 papers receiving 476 citations

Hit Papers

align trajectories

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.

Nano-particle mediated M2 macrophage polarization enhances bone formation and MSC osteogenesis in an IL-10 dependent manner

2020 320 citations Olwyn R. Mahon, David C. Browe et al. Biomaterials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle T. Cunningham United Kingdom	8	202	144	128	87	50	13	477
Qiao Lu China	10	108 0.5×	86 0.6×	118 0.9×	96 1.1×	50 1.0×	12	444
Farid Keramati Iran	9	64 0.3×	195 1.4×	154 1.2×	52 0.6×	63 1.3×	11	496
Sunray Lee South Korea	12	47 0.2×	231 1.6×	144 1.1×	43 0.5×	40 0.8×	21	502
Xiangfeng Leng China	9	103 0.5×	108 0.8×	95 0.7×	44 0.5×	100 2.0×	31	409
Yi Ting Koh United States	8	147 0.7×	311 2.2×	107 0.8×	55 0.6×	76 1.5×	12	623
Chandrav De United States	11	62 0.3×	122 0.8×	367 2.9×	187 2.1×	41 0.8×	14	750
Jiang Bian China	14	119 0.6×	93 0.6×	176 1.4×	82 0.9×	75 1.5×	24	621
A.L. Torres Portugal	11	269 1.3×	181 1.3×	134 1.0×	132 1.5×	164 3.3×	13	654
Xiaolei Liu China	12	55 0.3×	88 0.6×	182 1.4×	71 0.8×	26 0.5×	28	617

Countries citing papers authored by Kyle T. Cunningham

Since Specialization

Citations

This map shows the geographic impact of Kyle T. Cunningham'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 Kyle T. Cunningham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle T. Cunningham more than expected).

Fields of papers citing papers by Kyle T. Cunningham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle T. Cunningham. 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 Kyle T. Cunningham. The network helps show where Kyle T. Cunningham may publish in the future.

Co-authorship network of co-authors of Kyle T. Cunningham

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

All Works

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13 of 13 papers shown

Schoenherr, Christina, Shashi Prakash Singh, Maarten van Dinther, et al.. (2025). TGM6 is a helminth secretory product that mimics TGF-β binding to TGFBR2 to antagonize signaling in fibroblasts. Nature Communications. 16(1). 1847–1847. 2 indexed citations

Singh, Shashi Prakash, Danielle J. Smyth, Kyle T. Cunningham, et al.. (2024). The TGF-β mimic TGM4 achieves cell specificity through combinatorial surface co-receptor binding. EMBO Reports. 26(1). 218–244. 4 indexed citations

Cunningham, Kyle T. & Rick M. Maizels. (2024). We are what we eat: macrophages and efferocytosis. Trends in Parasitology. 40(6). 446–448. 2 indexed citations

Lindsay, Susan L., et al.. (2024). Development of Good Manufacturing Practice-Compatible Isolation and Culture Methods for Human Olfactory Mucosa-Derived Mesenchymal Stromal Cells. International Journal of Molecular Sciences. 25(2). 743–743. 1 indexed citations

Cunningham, Kyle T. & Kingston H. G. Mills. (2023). Modulation of haematopoiesis by protozoal and helminth parasites. Parasite Immunology. 45(12). e12975–e12975. 2 indexed citations

Dinther, Maarten van, Kyle T. Cunningham, Shashi Prakash Singh, et al.. (2023). CD44 acts as a coreceptor for cell-specific enhancement of signaling and regulatory T cell induction by TGM1, a parasite TGF-β mimic. Proceedings of the National Academy of Sciences. 120(34). e2302370120–e2302370120. 8 indexed citations

Byeon, Chang‐Hyeock, Cynthia S. Hinck, Kyle T. Cunningham, et al.. (2022). Convergent evolution of a parasite-encoded complement control protein-scaffold to mimic binding of mammalian TGF-β to its receptors, TβRI and TβRII. Journal of Biological Chemistry. 298(6). 101994–101994. 15 indexed citations

Cunningham, Kyle T., Conor M. Finlay, & Kingston H. G. Mills. (2021). Helminth Imprinting of Hematopoietic Stem Cells Sustains Anti-Inflammatory Trained Innate Immunity That Attenuates Autoimmune Disease. The Journal of Immunology. 206(7). 1618–1630. 34 indexed citations

Mahon, Olwyn R., David C. Browe, Pedro J. Díaz‐Payno, et al.. (2021). Extracellular matrix scaffolds derived from different musculoskeletal tissues drive distinct macrophage phenotypes and direct tissue-specific cellular differentiation. 12. 100041–100041. 17 indexed citations

10.

Cunningham, Kyle T. & Kingston H. G. Mills. (2021). Trained Innate Immunity in Hematopoietic Stem Cell and Solid Organ Transplantation. Transplantation. 105(8). 1666–1676. 8 indexed citations

11.

Finlay, Conor M., Kyle T. Cunningham, Benjamin Doyle, & Kingston H. G. Mills. (2020). IL-33–Stimulated Murine Mast Cells Polarize Alternatively Activated Macrophages, Which Suppress T Cells That Mediate Experimental Autoimmune Encephalomyelitis. The Journal of Immunology. 205(7). 1909–1919. 14 indexed citations

12.

Mahon, Olwyn R., David C. Browe, Tomas Gonzalez‐Fernandez, et al.. (2020). Nano-particle mediated M2 macrophage polarization enhances bone formation and MSC osteogenesis in an IL-10 dependent manner. Biomaterials. 239. 119833–119833. 320 indexed citations breakdown →

13.

Cunningham, Kyle T., Mathilde Raverdeau, Robert Walsh, et al.. (2019). Anti-inflammatory Trained Immunity Mediated by Helminth Products Attenuates the Induction of T Cell-Mediated Autoimmune Disease. Frontiers in Immunology. 10. 1109–1109. 50 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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