Laura L. McCormick

5.0k total citations · 2 hit papers
15 papers, 4.0k citations indexed

About

Laura L. McCormick is a scholar working on Immunology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Laura L. McCormick has authored 15 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Laura L. McCormick's work include Systemic Sclerosis and Related Diseases (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Cell death mechanisms and regulation (3 papers). Laura L. McCormick is often cited by papers focused on Systemic Sclerosis and Related Diseases (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Cell death mechanisms and regulation (3 papers). Laura L. McCormick collaborates with scholars based in United States, France and Italy. Laura L. McCormick's co-authors include Douglas R. Green, Christopher P. Dillon, Anita C. Gilliam, Joshua Munger, Robert Carter, Ruoning Wang, David Finkelstein, Lewis Z. Shi, Hongbo Chi and Sandra Milasta and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Immunity.

In The Last Decade

Laura L. McCormick

15 papers receiving 4.0k citations

Hit Papers

The Transcription Factor ... 2011 2026 2016 2021 2011 2011 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura L. McCormick United States 11 2.2k 1.9k 651 611 440 15 4.0k
Ann Ranger United States 24 2.9k 1.3× 2.9k 1.5× 644 1.0× 1.0k 1.6× 406 0.9× 46 6.0k
Tomohiro Takahashi Japan 7 2.4k 1.1× 2.0k 1.1× 505 0.8× 626 1.0× 415 0.9× 13 4.1k
Norman Boiani United States 14 1.5k 0.7× 2.2k 1.2× 765 1.2× 1.4k 2.3× 449 1.0× 14 4.7k
Christine Mirtsos Canada 14 3.2k 1.4× 1.7k 0.9× 908 1.4× 857 1.4× 254 0.6× 16 4.7k
Betty Lamothe United States 25 2.5k 1.1× 1.3k 0.7× 1.3k 2.0× 811 1.3× 244 0.6× 32 3.8k
Martin F. Wolfson United States 13 2.0k 0.9× 1.7k 0.9× 1.0k 1.6× 1.6k 2.6× 334 0.8× 19 5.1k
Casey Fox United States 18 1.6k 0.7× 1.1k 0.6× 621 1.0× 705 1.2× 250 0.6× 23 3.2k
Noelyn M. Kljavin United States 24 1.5k 0.7× 1.8k 0.9× 432 0.7× 1.3k 2.1× 333 0.8× 29 4.1k
Daryl T. Baldwin United States 9 2.5k 1.1× 2.0k 1.1× 915 1.4× 824 1.3× 438 1.0× 10 3.9k
Divaker Choubey United States 42 2.7k 1.2× 3.2k 1.7× 637 1.0× 1.5k 2.4× 289 0.7× 89 5.3k

Countries citing papers authored by Laura L. McCormick

Since Specialization
Citations

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

Fields of papers citing papers by Laura L. McCormick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura L. McCormick. 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 Laura L. McCormick. The network helps show where Laura L. McCormick may publish in the future.

Co-authorship network of co-authors of Laura L. McCormick

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

All Works

15 of 15 papers shown
1.
Parsons, Melissa J., et al.. (2013). Genetic deletion of caspase-2 accelerates MMTV/c-neu-driven mammary carcinogenesis in mice. Cell Death and Differentiation. 20(9). 1174–1182. 57 indexed citations
2.
Llambi, Fabien, Tudor Moldoveanu, Stephen W. G. Tait, et al.. (2011). A Unified Model of Mammalian BCL-2 Protein Family Interactions at the Mitochondria. Molecular Cell. 44(4). 517–531. 462 indexed citations
3.
Oberst, Andrew, Christopher P. Dillon, Ricardo Weinlich, et al.. (2011). Catalytic activity of the caspase-8–FLIPL complex inhibits RIPK3-dependent necrosis. Nature. 471(7338). 363–367. 995 indexed citations breakdown →
4.
Wang, Ruoning, Christopher P. Dillon, Lewis Z. Shi, et al.. (2011). The Transcription Factor Myc Controls Metabolic Reprogramming upon T Lymphocyte Activation. Immunity. 35(6). 871–882. 1614 indexed citations breakdown →
5.
Busuttil, V., Nathalie Droin, Laura L. McCormick, et al.. (2010). NF-κB inhibits T-cell activation-induced, p73-dependent cell death by induction of MDM2. Proceedings of the National Academy of Sciences. 107(42). 18061–18066. 54 indexed citations
6.
Wu, Caiyun, et al.. (2005). Transduced monocyte/macrophages targeted to murine skin by UV light. Experimental Dermatology. 15(1). 51–57. 3 indexed citations
7.
Zhang, Yan, Laura L. McCormick, & Anita C. Gilliam. (2003). Latency-Associated Peptide Prevents Skin Fibrosis in Murine Sclerodermatous Graft-Versus-Host Disease, a Model for Human Scleroderma. Journal of Investigative Dermatology. 121(4). 713–719. 63 indexed citations
8.
Zhang, Yan, et al.. (2002). Murine Sclerodermatous Graft-Versus-Host Disease, a Model for Human Scleroderma: Cutaneous Cytokines, Chemokines, and Immune Cell Activation. The Journal of Immunology. 168(6). 3088–3098. 196 indexed citations
9.
McCormick, Laura L., et al.. (1999). Anti-TGF-β Treatment Prevents Skin and Lung Fibrosis in Murine Sclerodermatous Graft-Versus-Host Disease: A Model for Human Scleroderma. The Journal of Immunology. 163(10). 5693–5699. 211 indexed citations
10.
McCormick, Laura L., et al.. (1999). Anti-TGF-beta treatment prevents skin and lung fibrosis in murine sclerodermatous graft-versus-host disease: a model for human scleroderma.. PubMed. 163(10). 5693–9. 248 indexed citations
11.
Шапиро, Д. А., David W. Threadgill, Deborah A. Corey, et al.. (1998). Gamma 3 gene-disrupted mice selectively deficient in the dominant IgG subclass made to bacterial polysaccharides undergo normal isotype switching after immunization with polysaccharide-protein conjugate vaccines.. PubMed. 161(7). 3393–9. 7 indexed citations
12.
Шапиро, Д. А., David W. Threadgill, Deborah A. Corey, et al.. (1998). γ3 Gene-Disrupted Mice Selectively Deficient in the Dominant IgG Subclass Made to Bacterial Polysaccharides Undergo Normal Isotype Switching After Immunization with Polysaccharide-Protein Conjugate Vaccines. The Journal of Immunology. 161(7). 3393–3399. 6 indexed citations
13.
Threadgill, David W., Laura L. McCormick, Tera L. McCool, Neil S. Greenspan, & John R. Schreiber. (1998). Mitogenic synthetic polynucleotides suppress the antibody response to a bacterial polysaccharide. Vaccine. 16(1). 76–82. 11 indexed citations
14.
McCormick, Laura L., Alexey Y. Karulin, John R. Schreiber, & Neil S. Greenspan. (1997). Bispecific antibodies overcome the opsonin-receptor mismatch of cystic fibrosis in vitro: restoration of neutrophil-mediated phagocytosis and killing of Pseudomonas aeruginosa. The Journal of Immunology. 158(7). 3474–3482. 7 indexed citations
15.
Goodrum, K J, Laura L. McCormick, & Bianca E. Schneider. (1994). Group B streptococcus-induced nitric oxide production in murine macrophages is CR3 (CD11b/CD18) dependent. Infection and Immunity. 62(8). 3102–3107. 48 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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