Kathryn J. Moore
- Molecular Biology top 0.1%
- Immunology top 0.05%
- Epidemiology top 0.2%
- Cancer Research top 0.1%
- Surgery top 0.2%
- Co-authors
- Ira TabasEdward A. FisherKatey J. RaynerFrederick J. SheedyMason W. FreemanDouglas T. GolenbockKatherine A. FitzgeraldEicke Latz
- Topics
- Atherosclerosis and Cardiovascular Diseases (36 papers)Cholesterol and Lipid Metabolism (27 papers)MicroRNA in disease regulation (25 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Kathryn J. Moore
166 papers receiving 30.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 15.3k
- Immunology 12.3k
- Epidemiology 5.9k
- Cancer Research 5.7k
- Surgery 5.4k
Countries citing papers authored by Kathryn J. Moore
This map shows the geographic impact of Kathryn J. 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 Kathryn J. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn J. Moore more than expected).
Fields of papers citing papers by Kathryn J. Moore
This network shows the impact of papers produced by Kathryn J. 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 Kathryn J. Moore. The network helps show where Kathryn J. Moore may publish in the future.
Co-authorship network of co-authors of Kathryn J. Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn J. Moore. A scholar is included among the top collaborators of Kathryn J. Moore 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 Kathryn J. Moore. Kathryn J. Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 25 | |
| 7 | 30 | |
| 8 | 41 | |
| 9 | 17 | |
| 10 | 15 | |
| 11 | 104 | |
| 12 | 256 | |
| 13 | 19 | |
| 14 | 250 | |
| 15 | Abstract 15504: Heat Shock Protein 27 Mediated Atheroprotetion Requires Scavenger Receptor-A: Mechanistic Insight Into a Novel Therapeutic | 1 |
| 16 | MiR-33 Contributes to the Regulation of Cholesterol Homeostasisbreakdown → | 990 |
| 17 | 134 | |
| 18 | 338 | |
| 19 | 50 | |
| 20 | 34 |
About Kathryn J. Moore
Kathryn J. Moore is a scholar working on Immunology, Cancer Research and Immunology and Allergy, having authored 168 papers that have together received 30.6k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (36 papers), Cholesterol and Lipid Metabolism (27 papers) and MicroRNA in disease regulation (25 papers). The work is most often cited by research in Immunology (12.3k citations), Cancer Research (5.7k citations) and Biological Psychiatry (605 citations). Kathryn J. Moore has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Ira Tabas, Edward A. Fisher, Katey J. Rayner, Frederick J. Sheedy, Mason W. Freeman, Douglas T. Golenbock, Katherine A. Fitzgerald, Eicke Latz, Carlos Fernández‐Hernando and Veit Hornung. Their work appears in journals such as Nature, Science and Cell.
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.