Kathy L. Moser
- Immunology top 1%
- Rheumatology top 0.2%
- Molecular Biology top 10%
- Genetics top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- John B. HarleyLindsey A. CriswellCarl D. LangefeldRobert P. KimberlyPatrick M. GaffneyChaim O. JacobMarta E. Alarcón‐RiquelmeTimothy J. Vyse
- Topics
- Systemic Lupus Erythematosus Research (31 papers)T-cell and B-cell Immunology (20 papers)Monoclonal and Polyclonal Antibodies Research (13 papers)
- Cited by
- RheumatologyImmunologyGenetics
- Journals
- Nature GeneticsBloodPLoS ONE
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Kathy L. Moser
49 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Immunology 2.4k
- Rheumatology 2.1k
- Molecular Biology 844
- Genetics 844
- Radiology, Nuclear Medicine and Imaging 550
Countries citing papers authored by Kathy L. Moser
This map shows the geographic impact of Kathy L. Moser'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 Kathy L. Moser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathy L. Moser more than expected).
Fields of papers citing papers by Kathy L. Moser
This network shows the impact of papers produced by Kathy L. Moser. 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 Kathy L. Moser. The network helps show where Kathy L. Moser may publish in the future.
Co-authorship network of co-authors of Kathy L. Moser
This figure shows the co-authorship network connecting the top 25 collaborators of Kathy L. Moser. A scholar is included among the top collaborators of Kathy L. Moser 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 Kathy L. Moser. Kathy L. Moser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 73 | |
| 3 | 45 | |
| 4 | 11 | |
| 5 | 8 | |
| 6 | Genome-wide association scan in women with systemic lupus erythematosus identifies susceptibility variants in ITGAM, PXK, KIAA1542 and other locibreakdown → | 950 |
| 7 | 116 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 105 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 20 | |
| 14 | 278 | |
| 15 | 49 | |
| 16 | 30 | |
| 17 | 51 | |
| 18 | 114 | |
| 19 | 14 | |
| 20 | 6 |
About Kathy L. Moser
Kathy L. Moser is a scholar working on Rheumatology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 4.2k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (31 papers), T-cell and B-cell Immunology (20 papers) and Monoclonal and Polyclonal Antibodies Research (13 papers). The work is most often cited by research in Rheumatology (2.1k citations), Immunology (2.4k citations) and Genetics (844 citations). Kathy L. Moser has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include John B. Harley, Lindsey A. Criswell, Carl D. Langefeld, Robert P. Kimberly, Patrick M. Gaffney, Chaim O. Jacob, Marta E. Alarcón‐Riquelme, Timothy J. Vyse, Betty P. Tsao and Timothy W. Behrens. Their work appears in journals such as Nature Genetics, Blood and PLoS ONE.
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.