Kevin L. Moore
- Immunology and Allergy top 0.05%
- Molecular Biology top 2%
- Immunology top 0.5%
- Hematology top 0.5%
- Cancer Research top 1%
- Co-authors
- Rodger P. McEverRichard D. CummingsD F BaintonAjit VarkiL Marshall-CarlsonJay H. BecksteadYing-Bin OuyangGuy A. Zimmerman
- Topics
- Cell Adhesion Molecules Research (28 papers)Glycosylation and Glycoproteins Research (23 papers)Protease and Inhibitor Mechanisms (9 papers)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Kevin L. Moore
58 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Immunology and Allergy 3.9k
- Molecular Biology 3.3k
- Immunology 2.9k
- Hematology 1.6k
- Cancer Research 1.1k
Countries citing papers authored by Kevin L. Moore
This map shows the geographic impact of Kevin L. 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 Kevin L. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin L. Moore more than expected).
Fields of papers citing papers by Kevin L. Moore
This network shows the impact of papers produced by Kevin L. 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 Kevin L. Moore. The network helps show where Kevin L. Moore may publish in the future.
Co-authorship network of co-authors of Kevin L. Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin L. Moore. A scholar is included among the top collaborators of Kevin L. 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 Kevin L. Moore. Kevin L. 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 | 20 | |
| 2 | 10 | |
| 3 | 9 | |
| 4 | 45 | |
| 5 | 22 | |
| 6 | 44 | |
| 7 | 83 | |
| 8 | 59 | |
| 9 | 275 | |
| 10 | 63 | |
| 11 | 36 | |
| 12 | Langerin, a Novel C-Type Lectin Specific to Langerhans Cells, Is an Endocytic Receptor that Induces the Formation of Birbeck Granulesbreakdown → | 726 |
| 13 | 179 | |
| 14 | 101 | |
| 15 | 101 | |
| 16 | 4 | |
| 17 | 98 | |
| 18 | 156 | |
| 19 | Fe‐B‐Si金属ガラスのナノ構造 | 0 |
| 20 | GMP-140, a platelet alpha-granule membrane protein, is also synthesized by vascular endothelial cells and is localized in Weibel-Palade bodies.breakdown → | 811 |
About Kevin L. Moore
Kevin L. Moore is a scholar working on Immunology and Allergy, Immunology and Hematology, having authored 59 papers that have together received 8.1k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (28 papers), Glycosylation and Glycoproteins Research (23 papers) and Protease and Inhibitor Mechanisms (9 papers). The work is most often cited by research in Immunology and Allergy (3.9k citations), Hematology (1.6k citations) and Immunology (2.9k citations). Kevin L. Moore has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Rodger P. McEver, Richard D. Cummings, D F Bainton, Ajit Varki, L Marshall-Carlson, Jay H. Beckstead, Ying-Bin Ouyang, Guy A. Zimmerman, Kamala D. Patel and Henri S. Lichenstein. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.