Laura L. McCormick
- Molecular Biology top 5%
- Immunology top 1%
- Cancer Research top 2%
- Oncology top 5%
- Epidemiology top 10%
- Co-authors
- Douglas R. GreenChristopher P. DillonAnita C. GilliamRuoning WangLewis Z. ShiJoshua MungerRobert CarterSandra Milasta
- Topics
- Systemic Sclerosis and Related Diseases (4 papers)Immunodeficiency and Autoimmune Disorders (3 papers)Cell death mechanisms and regulation (3 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Laura L. McCormick
15 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 2.2k
- Immunology 1.9k
- Cancer Research 651
- Oncology 611
- Epidemiology 440
Countries citing papers authored by Laura L. McCormick
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | The Transcription Factor Myc Controls Metabolic Reprogramming upon T Lymphocyte Activationbreakdown → | 1614 |
| 3 | Catalytic activity of the caspase-8–FLIPL complex inhibits RIPK3-dependent necrosisbreakdown → | 995 |
| 4 | 462 | |
| 5 | 54 | |
| 6 | 3 | |
| 7 | 63 | |
| 8 | 196 | |
| 9 | 211 | |
| 10 | Anti-TGF-beta treatment prevents skin and lung fibrosis in murine sclerodermatous graft-versus-host disease: a model for human scleroderma. | 248 |
| 11 | 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. | 7 |
| 12 | 6 | |
| 13 | 11 | |
| 14 | 7 | |
| 15 | 48 |
About Laura L. McCormick
Laura L. McCormick is a scholar working on Immunology, Pathology and Forensic Medicine and Microbiology, having authored 15 papers that have together received 4.0k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Immunology (1.9k citations), Cancer Research (651 citations) and Molecular Biology (2.2k citations). Laura L. McCormick has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Douglas R. Green, Christopher P. Dillon, Anita C. Gilliam, Ruoning Wang, Lewis Z. Shi, Joshua Munger, Robert Carter, Sandra Milasta, David Finkelstein and Hongbo Chi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Immunity.
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.