Margaret Moore
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immunodeficiency and Autoimmune Disorders
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research
Papers in
-
- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Complement system in diseases 1
-
- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Stacey R. Dillon (3 shared papers)Jane A. Gross (3 shared papers)Harald S. Haugen (2 shared papers)Sherri Mudri (2 shared papers)Kevin P. Foley (2 shared papers)Janet Johnston (2 shared papers)Christopher H. Clegg (2 shared papers)Julia Parrish-Novak (1 shared paper)
- Journals
- Nature (1 paper)Advances in cancer research (1 paper)Molecular Therapy (1 paper)Antiviral Research (1 paper)Immunity (1 paper)
- Partner nations
- United States
In The Last Decade
Margaret Moore
7 papers receiving 1.8k citations
Margaret Moore's Hit Papers
Peers
Comparison fields: 5 of 69
- Immunology 1.2k
- Rheumatology 400
- Radiology, Nuclear Medicine and Imaging 339
- Genetics 103
- Cancer Research 138
Countries citing papers authored by Margaret Moore
This map shows the geographic impact of Margaret Moore'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 Margaret Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret Moore more than expected).
Fields of papers citing papers by Margaret Moore
This network shows the impact of papers produced by Margaret Moore. 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 Margaret Moore. The network helps show where Margaret Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Margaret Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | TACI and BCMA are receptors for a TNF homologue implicated in B-cell autoimmune disease Hit paper breakdown → | 2000 | 970 |
| 2 | TACI-Ig Neutralizes Molecules Critical for B Cell Development and Autoimmune Disease Hit paper breakdown → | 2001 | 510 |
| 3 | 1989 | 151 | |
| 4 | 2010 | 81 | |
| 5 | 2000 | 50 | |
| 6 | 1990 | 18 | |
| 7 | 2016 | 6 |
About Margaret Moore
Margaret Moore is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Oncology and Epidemiology, having authored 7 papers that have together received 1.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Immune Cell Function and Interaction (3 papers), Viral-associated cancers and disorders (2 papers), T-cell and B-cell Immunology (2 papers), Parvovirus B19 Infection Studies (2 papers), Influenza Virus Research Studies (1 paper), Transgenic Plants and Applications (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Immunology (1.2k citations), Rheumatology (400 citations), Radiology, Nuclear Medicine and Imaging (339 citations), Genetics (103 citations) and Cancer Research (138 citations). Margaret Moore has collaborated with scholars based in United States. Frequent co-authors include Stacey R. Dillon, Jane A. Gross, Harald S. Haugen, Sherri Mudri, Kevin P. Foley, Janet Johnston, Christopher H. Clegg, Julia Parrish-Novak, Wayne Kindsvogel and Wenfeng Xu. Their work appears in journals such as Nature, Advances in cancer research, Molecular Therapy, Antiviral Research 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.