KL Moore

688 citations
6 papers · 567 · h-index 4

Impact in

    • Cell Adhesion Molecules Research
  • Immunology top 10%
    • Immune Response and Inflammation
    • Atherosclerosis and Cardiovascular Diseases
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

    • Genetic and phenotypic traits in livestock 3
    • Genetic Mapping and Diversity in Plants and Animals 2
    • Cell Adhesion Molecules Research 3

KL Moore

6 papers receiving 560 citations

Peers

KL Moore
Comparison fields: 5 of 59
  • Immunology and Allergy 343
  • Immunology 238
  • Hematology 98
  • Cancer Research 87
  • Oncology 90
Replace TF Tedder with:
TF Tedder United States
F Austrup Germany
Randy Hurley United States
Scott Argraves United States
Sandy Kurk United States
Chris Johnson United States
C F Fox United States
Heather B. Streeter United Kingdom
H Yagita Japan
Maria Carmina Castiello Italy
KL Moore relative to TF Tedder United States TF Tedder's profile →
Citations per field
00.5×1.5×
TF Tedder · 1×
Citations per year

Countries citing papers authored by KL Moore

Since Specialization
Citations

This map shows the geographic impact of KL 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 KL Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites KL Moore more than expected).

Fields of papers citing papers by KL Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by KL 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 KL Moore. The network helps show where KL Moore may publish in the future.

Co-authors

The 12 scholars most cited alongside KL Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with KL Moore Line = papers co-authored together KL Moore links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 1996213
2 1995206
3 1996138
4
Genetic and nongenetic effects on plasma insulin like growth factor I (IGF-I) concentration and production traits in Angus cattle.
20038
5
Genetic aspects of ewe longevity and fertility traits in Lleyn and Dorset sheep
20171
6
The Implementation of Genomic Evaluations in the UK
20111

About KL Moore

KL Moore is a scholar working on Genetics, Immunology and Allergy, Agronomy and Crop Science, Immunology and Molecular Biology, having authored 6 papers that have together received 567 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (3 papers), Genetic and phenotypic traits in livestock (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Reproductive Physiology in Livestock (2 papers), Immune Response and Inflammation (2 papers), Protease and Inhibitor Mechanisms (1 paper), S100 Proteins and Annexins (1 paper) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Immunology and Allergy (343 citations), Immunology (238 citations), Hematology (98 citations), Cancer Research (87 citations) and Oncology (90 citations). KL Moore has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Klaus Ley, Cummings Rd, TF Tedder, Zoltán Lászik, L A Sklar, Snezna Rogelj, HU Graser, RM Herd, Sebastian Mucha and Raphael Mrode. Their work appears in journals such as Blood and RUNE (Research UNE).

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.

Explore authors with similar magnitude of impact