Lisa M. Maier

4.3k total citations
21 papers, 2.6k citations indexed

About

Lisa M. Maier is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, Lisa M. Maier has authored 21 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 10 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Lisa M. Maier's work include T-cell and B-cell Immunology (11 papers), Diabetes and associated disorders (9 papers) and Immune Cell Function and Interaction (9 papers). Lisa M. Maier is often cited by papers focused on T-cell and B-cell Immunology (11 papers), Diabetes and associated disorders (9 papers) and Immune Cell Function and Interaction (9 papers). Lisa M. Maier collaborates with scholars based in United States, United Kingdom and Australia. Lisa M. Maier's co-authors include David A. Hafler, Linda S. Wicker, Philip L. De Jager, John A. Todd, Neil Walker, Joanna M. M. Howson, Clare Baecher‐Allan, Jason D. Cooper, David E. Anderson and David E. Anderson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Lisa M. Maier

21 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa M. Maier United States 20 1.1k 925 668 335 251 21 2.6k
Peter Riegman Netherlands 31 214 0.2× 505 0.5× 1.9k 2.8× 349 1.0× 233 0.9× 70 3.8k
Warick Delprado Australia 38 313 0.3× 341 0.4× 754 1.1× 584 1.7× 138 0.5× 101 4.2k
Jielin Sun United States 36 319 0.3× 930 1.0× 1.2k 1.8× 181 0.5× 195 0.8× 94 3.0k
Robert M. Plenge United States 32 1.7k 1.5× 1.3k 1.4× 900 1.3× 183 0.5× 81 0.3× 61 4.9k
David Verbel United States 21 327 0.3× 218 0.2× 1.2k 1.8× 222 0.7× 87 0.3× 46 2.9k
Philippe Broët France 32 247 0.2× 396 0.4× 1.0k 1.5× 138 0.4× 138 0.5× 91 3.7k
Michael D. Radmacher United States 28 315 0.3× 433 0.5× 3.2k 4.7× 95 0.3× 54 0.2× 51 5.0k
Joshy George United States 34 777 0.7× 995 1.1× 4.3k 6.5× 456 1.4× 150 0.6× 65 7.4k
Song Liu United States 41 821 0.7× 525 0.6× 2.9k 4.3× 371 1.1× 52 0.2× 167 4.9k
Tuomas Mirtti Finland 29 216 0.2× 275 0.3× 1.6k 2.4× 431 1.3× 154 0.6× 127 3.0k

Countries citing papers authored by Lisa M. Maier

Since Specialization
Citations

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

Fields of papers citing papers by Lisa M. Maier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa M. Maier

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. Maier. A scholar is included among the top collaborators of Lisa M. Maier 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 Lisa M. Maier. Lisa M. Maier 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.
Shimato, Shinji, Lisa M. Maier, Richard Maier, et al.. (2012). Profound tumor-specific Th2 bias in patients with malignant glioma. BMC Cancer. 12(1). 561–561. 28 indexed citations
2.
Sonabend, Adam M., Alfred T. Ogden, Lisa M. Maier, et al.. (2011). Medulloblasoma: challenges for effective immunotherapy. Journal of Neuro-Oncology. 108(1). 1–10. 23 indexed citations
3.
Maier, Lisa M., David E. Anderson, Christopher Severson, et al.. (2009). Soluble IL-2RA Levels in Multiple Sclerosis Subjects and the Effect of Soluble IL-2RA on Immune Responses. The Journal of Immunology. 182(3). 1541–1547. 121 indexed citations
4.
Maier, Lisa M., et al.. (2009). Engineered Interleukin-2 Antagonists for the Inhibition of Regulatory T Cells. Journal of Immunotherapy. 32(9). 887–894. 35 indexed citations
5.
Maier, Lisa M., Christopher E. Lowe, Jason D. Cooper, et al.. (2009). IL2RA Genetic Heterogeneity in Multiple Sclerosis and Type 1 Diabetes Susceptibility and Soluble Interleukin-2 Receptor Production. PLoS Genetics. 5(1). e1000322–e1000322. 186 indexed citations
6.
Maier, Lisa M. & David A. Hafler. (2009). Autoimmunity risk alleles in costimulation pathways. Immunological Reviews. 229(1). 322–336. 27 indexed citations
7.
Kennedy, Benjamin C., Lisa M. Maier, Randy S. D’Amico, et al.. (2009). Dynamics of central and peripheral immunomodulation in a murine glioma model. BMC Immunology. 10(1). 11–11. 57 indexed citations
8.
Murugaiyan, Gopal, et al.. (2009). IL-27 Is a Key Regulator of IL-10 and IL-17 Production by Human CD4+ T Cells. The Journal of Immunology. 183(4). 2435–2443. 232 indexed citations
9.
Pyne, Saumyadipta, Xinli Hu, Kui Wang, et al.. (2009). Automated high-dimensional flow cytometric data analysis. Proceedings of the National Academy of Sciences. 106(21). 8519–8524. 257 indexed citations
10.
Pyne, Saumyadipta, Xinli Hu, Kui Wang, et al.. (2009). Automated high-dimensional flow cytometric data analysis.. PubMed. 106(21). 8519–24. 229 indexed citations
11.
Maier, Lisa M., Sarah Howlett, Kara Rainbow, et al.. (2008). NKG2D-RAE-1 Receptor-Ligand Variation Does Not Account for the NK Cell Defect in Nonobese Diabetic Mice. The Journal of Immunology. 181(10). 7073–7080. 13 indexed citations
12.
Maier, Lisa M., et al.. (2008). Astrocytic Regulation of Human Monocytic/Microglial Activation. The Journal of Immunology. 181(8). 5425–5432. 107 indexed citations
13.
Hafler, Jason P., Lisa M. Maier, Jason D. Cooper, et al.. (2008). CD226 Gly307Ser association with multiple autoimmune diseases. Genes and Immunity. 10(1). 5–10. 176 indexed citations
14.
Nejentsev, Sergey, Joanna M. M. Howson, Neil Walker, et al.. (2007). Localization of type 1 diabetes susceptibility to the MHC class I genes HLA-B and HLA-A. Nature. 450(7171). 887–892. 417 indexed citations
15.
Maier, Lisa M., et al.. (2007). Up-Regulation of Gene Related to Anergy in Lymphocytes Is Associated with Notch-Mediated Human T Cell Suppression. The Journal of Immunology. 178(10). 6158–6163. 38 indexed citations
16.
Smyth, Deborah J., Joanna M. M. Howson, Felicity Payne, et al.. (2006). Analysis of polymorphisms in 16 genes in type 1 diabetes that have been associated with other immune-mediated diseases. BMC Medical Genetics. 7(1). 20–20. 52 indexed citations
17.
Maier, Lisa M., Joanna M. M. Howson, Neil Walker, et al.. (2006). Association of IL13 with total IgE: Evidence against an inverse association of atopy and diabetes. Journal of Allergy and Clinical Immunology. 117(6). 1306–1313. 52 indexed citations
18.
Maier, Lisa M., Juliet Chapman, Joanna M. M. Howson, et al.. (2005). No Evidence of Association or Interaction between the IL4RA, IL4, and IL13 Genes in Type 1 Diabetes. The American Journal of Human Genetics. 76(3). 517–521. 38 indexed citations
19.
Maier, Lisa M. & Linda S. Wicker. (2005). Genetic susceptibility to type 1 diabetes. Current Opinion in Immunology. 17(6). 601–608. 86 indexed citations
20.
Clayton, David, Neil Walker, Deborah J. Smyth, et al.. (2005). Population structure, differential bias and genomic control in a large-scale, case-control association study. Nature Genetics. 37(11). 1243–1246. 354 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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