Helen M. McGuire

5.9k total citations · 1 hit paper
86 papers, 2.2k citations indexed

About

Helen M. McGuire is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Helen M. McGuire has authored 86 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Immunology, 19 papers in Oncology and 16 papers in Molecular Biology. Recurrent topics in Helen M. McGuire's work include Immune Cell Function and Interaction (28 papers), T-cell and B-cell Immunology (19 papers) and Immunotherapy and Immune Responses (10 papers). Helen M. McGuire is often cited by papers focused on Immune Cell Function and Interaction (28 papers), T-cell and B-cell Immunology (19 papers) and Immunotherapy and Immune Responses (10 papers). Helen M. McGuire collaborates with scholars based in Australia, United States and New Zealand. Helen M. McGuire's co-authors include Charles M. King, Alexis Vogelzang, Jonathan Sprent, Charles R. Mackay, Di Yu, Barbara Fazekas de St Groth, Daniel Christ, Erika Bongen, Timothy E. Sweeney and Yannick Pouliot and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Helen M. McGuire

80 papers receiving 2.2k citations

Hit Papers

A Fundamental Role for Interleukin-21 in the Generation o... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helen M. McGuire Australia 21 1.2k 443 436 300 291 86 2.2k
Gencheng Han China 31 1.6k 1.3× 634 1.4× 439 1.0× 286 1.0× 337 1.2× 115 2.5k
Pietro Di Lucia Italy 18 1.2k 1.0× 338 0.8× 497 1.1× 175 0.6× 481 1.7× 25 2.7k
Bjarne Kuno Møller Denmark 24 552 0.5× 541 1.2× 329 0.8× 162 0.5× 259 0.9× 114 2.3k
Atsuhiro Ogaẃa Japan 19 1.2k 1.0× 591 1.3× 380 0.9× 524 1.7× 296 1.0× 56 2.3k
Laurence Preisser France 22 1.5k 1.3× 681 1.5× 543 1.2× 126 0.4× 265 0.9× 45 2.6k
V. Descamps France 29 646 0.5× 373 0.8× 319 0.7× 212 0.7× 593 2.0× 165 3.0k
Annemieke M. H. Boots Netherlands 34 2.1k 1.7× 822 1.9× 564 1.3× 186 0.6× 251 0.9× 100 3.9k
Ingrid E. Dumitriu United Kingdom 24 2.2k 1.9× 872 2.0× 425 1.0× 150 0.5× 329 1.1× 48 3.3k
Alan M. Hanash United States 17 1.4k 1.1× 441 1.0× 401 0.9× 171 0.6× 179 0.6× 51 2.2k
Kenichi Koike Japan 28 788 0.6× 879 2.0× 400 0.9× 346 1.2× 230 0.8× 158 2.5k

Countries citing papers authored by Helen M. McGuire

Since Specialization
Citations

This map shows the geographic impact of Helen M. McGuire'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 Helen M. McGuire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen M. McGuire more than expected).

Fields of papers citing papers by Helen M. McGuire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen M. McGuire. 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 Helen M. McGuire. The network helps show where Helen M. McGuire may publish in the future.

Co-authorship network of co-authors of Helen M. McGuire

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

All Works

20 of 20 papers shown
1.
Shinko, Diana, et al.. (2025). Uncovering Sex-Related Differences in Skin Macrophage Polarization During Wound Healing in Diabetic Mice. Frontiers in Bioscience-Landmark. 30(2). 27113–27113.
2.
Zhang, Ziyao, Jason K. Eshraghian, Ken‐Tye Yong, et al.. (2025). Neuromorphic imaging cytometry on human blood cells. Neuromorphic Computing and Engineering. 5(2). 24001–24001. 3 indexed citations
3.
Khakpoor, Atefeh, Mary Eapen, Liang Lim, et al.. (2025). 106 Spatial multi-omic characterization of tumor microenvironment heterogeneity in hepatocellular carcinoma. Regular and Young Investigator Award Abstracts. A121–A122.
4.
Gray, Michael P., David S. Celermajer, Helen M. McGuire, et al.. (2024). Vascular Cytokines and Atherosclerosis: Differential Serum Levels of TRAIL, IL-18, and OPG in Obstructive Coronary Artery Disease. Biomolecules. 14(9). 1119–1119. 2 indexed citations
5.
Tseng, Hsin‐Yi, Sara Alavi, Stuart Gallagher, et al.. (2024). BET inhibition sensitizes innate checkpoint inhibitor resistant melanoma to anti‐CTLA‐4 treatment. Pigment Cell & Melanoma Research. 37(6). 744–751. 2 indexed citations
6.
Guy, Thomas V., Alexandra M. Terry, Helen M. McGuire, Elena Shklovskaya, & Barbara Fazekas de St Groth. (2023). MHCII restriction demonstrates B cells have very limited capacity to activate tumour-specific CD4 + T cells in vivo. OncoImmunology. 13(1). 2290799–2290799. 1 indexed citations
7.
Marsh‐Wakefield, Felix, Pierre Juillard, Thomas M. Ashhurst, et al.. (2022). Peripheral B‐cell dysregulation is associated with relapse after long‐term quiescence in patients with multiple sclerosis. Immunology and Cell Biology. 100(6). 453–467. 12 indexed citations
8.
Seddiki, Nabila, John Zaunders, Chansavath Phetsouphanh, et al.. (2021). CD73+ CD127high Long-Term Memory CD4 T Cells Are Highly Proliferative in Response to Recall Antigens and Are Early Targets in HIV-1 Infection. International Journal of Molecular Sciences. 22(2). 912–912. 4 indexed citations
10.
Gottlieb, David, Leighton Clancy, Barbara Withers, et al.. (2021). Prophylactic antigen‐specific T‐cells targeting seven viral and fungal pathogens after allogeneic haemopoietic stem cell transplant. Clinical & Translational Immunology. 10(3). e1249–e1249. 31 indexed citations
11.
O'Brien, J A, Helen M. McGuire, Diana Shinko, et al.. (2021). T lymphocyte and monocyte subsets are dysregulated in type 1 diabetes patients with peripheral neuropathic pain. Brain Behavior & Immunity - Health. 15. 100283–100283. 14 indexed citations
13.
Nguyen, Thi Ngoc Phuong, Hoàng Văn Minh, Tran Thu Ngan, et al.. (2020). Knowledge change related to hypertension in the Southern province of Vietnam: a community based, before and after intervention evaluation. 2(1). 3 indexed citations
14.
Marsh‐Wakefield, Felix, Simon Hawke, Georges E. Grau, et al.. (2020). In depth analysis of T cells in multiple sclerosis patients after treatment with Cladribine (5301). Neurology. 94(15_supplement). 1 indexed citations
15.
Castellano‐González, Gloria, Helen M. McGuire, Fabio Luciani, et al.. (2020). Rapidly expanded partially HLA DRB1–matched fungus-specific T cells mediate in vitro and in vivo antifungal activity. Blood Advances. 4(14). 3443–3456. 8 indexed citations
17.
Neogi, Tuhina, et al.. (2018). Diagnostic accuracy of self-administered urine glucose test strips as a diabetes screening tool in a low-resource setting in Cambodia. BMJ Open. 8(3). e019924–e019924. 13 indexed citations
18.
Rubelt, Florian, Christopher R. Bolen, Helen M. McGuire, et al.. (2016). Individual heritable differences result in unique cell lymphocyte receptor repertoires of naïve and antigen-experienced cells. Nature Communications. 7(1). 11112–11112. 93 indexed citations
19.
Weigl, Bernhard H., et al.. (2013). New screening technologies for type 2 diabetes mellitus appropriate for use in tuberculosis patients [Review article]. Public Health Action. 3(Supplement 1). 10–17. 22 indexed citations
20.
McGuire, Helen M., Alexis Vogelzang, Natasha Hill, et al.. (2009). Loss of parity between IL-2 and IL-21 in the NOD Idd3 locus. Proceedings of the National Academy of Sciences. 106(46). 19438–19443. 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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