K L Moser

1.8k total citations
19 papers, 699 citations indexed

About

K L Moser is a scholar working on Rheumatology, Immunology and Molecular Biology. According to data from OpenAlex, K L Moser has authored 19 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Rheumatology, 11 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in K L Moser's work include Systemic Lupus Erythematosus Research (11 papers), T-cell and B-cell Immunology (7 papers) and Immune Cell Function and Interaction (3 papers). K L Moser is often cited by papers focused on Systemic Lupus Erythematosus Research (11 papers), T-cell and B-cell Immunology (7 papers) and Immune Cell Function and Interaction (3 papers). K L Moser collaborates with scholars based in United States, Sweden and United Kingdom. K L Moser's co-authors include Jennifer A. Kelly, John B. Harley, Patrick M. Gaffney, Timothy W. Behrens, Courtney Gray‐McGuire, Ward Ortmann, Jane M. Olson, Karl J. Espe, Judith A. James and Barbara R. Neas and has published in prestigious journals such as The American Journal of Human Genetics, Acta Neurologica Scandinavica and Oral Diseases.

In The Last Decade

K L Moser

18 papers receiving 691 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K L Moser United States 12 426 371 159 124 106 19 699
Xana Kim-Howard United States 11 425 1.0× 335 0.9× 102 0.6× 104 0.8× 143 1.3× 16 672
Vilija Oke Sweden 14 475 1.1× 471 1.3× 126 0.8× 109 0.9× 49 0.5× 24 741
Philip Tombleson United Kingdom 3 360 0.8× 336 0.9× 154 1.0× 57 0.5× 182 1.7× 3 639
Tim J. Vyse United Kingdom 11 350 0.8× 248 0.7× 138 0.9× 38 0.3× 81 0.8× 17 567
S G Slade United States 8 300 0.7× 209 0.6× 120 0.8× 203 1.6× 77 0.7× 8 634
Belén Torres Spain 16 427 1.0× 218 0.6× 280 1.8× 44 0.4× 291 2.7× 25 799
Monica Schaller Switzerland 15 498 1.2× 303 0.8× 249 1.6× 220 1.8× 29 0.3× 28 880
Robert Winchester United States 7 356 0.8× 143 0.4× 138 0.9× 205 1.7× 46 0.4× 9 634
Timothy J. Vyse United Kingdom 10 273 0.6× 144 0.4× 186 1.2× 124 1.0× 298 2.8× 11 619
Martin S. Naradikian United States 13 918 2.2× 176 0.5× 171 1.1× 59 0.5× 88 0.8× 21 1.1k

Countries citing papers authored by K L Moser

Since Specialization
Citations

This map shows the geographic impact of K 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 K 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 K L Moser more than expected).

Fields of papers citing papers by K L Moser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K 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 K L Moser. The network helps show where K L Moser may publish in the future.

Co-authorship network of co-authors of K L Moser

This figure shows the co-authorship network connecting the top 25 collaborators of K L Moser. A scholar is included among the top collaborators of K 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 K L Moser. K L Moser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Bronson, Paola G., Benjamin A. Goldstein, Patricia P. Ramsay, et al.. (2011). The rs4774 CIITA missense variant is associated with risk of systemic lupus erythematosus. Genes and Immunity. 12(8). 667–671. 20 indexed citations
2.
Segal, Barbara, Brian Pogatchnik, H. Liu, et al.. (2011). Primary Sjogren’s syndrome: cognitive symptoms, mood, and cognitive performance. Acta Neurologica Scandinavica. 125(4). 272–278. 40 indexed citations
3.
Ramos, Paula S., et al.. (2009). Variation in the ATP-binding cassette transporter 2 gene is a separate risk factor for systemic lupus erythematosus within the MHC. Genes and Immunity. 10(4). 350–355. 11 indexed citations
4.
Namjou, Bahram, Courtney Gray‐McGuire, Andrea L. Sestak, et al.. (2009). Evaluation of C1q genomic region in minority racial groups of lupus. Genes and Immunity. 10(5). 517–524. 31 indexed citations
5.
Morris, David, Robert Graham, Patrick M. Gaffney, et al.. (2009). Variation in the upstream region of P-Selectin (SELP) is a risk factor for SLE. Genes and Immunity. 10(5). 404–413. 21 indexed citations
6.
Lessard, Christopher J., Nguyen Hoang Khue Tu, Justin Rodgers, et al.. (2009). Meta-analysis and imputation identifies a 109 kb risk haplotype spanning TNFAIP3 associated with lupus nephritis and hematologic manifestations. Genes and Immunity. 10(5). 470–477. 70 indexed citations
7.
Dudczak, Robert, et al.. (2008). Überwachung der Herzfunktion bei Doxorubicintherapie des metastasierten Mammakarzinoms: Messung der systolischen Zeitintervalle. DMW - Deutsche Medizinische Wochenschrift. 108(20). 771–775.
8.
Rhodus, N.L., et al.. (2007). Microarrays: applications in dental research. Oral Diseases. 14(1). 25–29. 8 indexed citations
9.
Forabosco, Paola, Jennifer D. Gorman, Jennifer A. Kelly, et al.. (2006). Meta-analysis of genome-wide linkage studies of systemic lupus erythematosus. Genes and Immunity. 7(7). 609–614. 45 indexed citations
10.
Ramos, Paula S., Jennifer A. Kelly, Courtney Gray‐McGuire, et al.. (2006). Familial aggregation and linkage analysis of autoantibody traits in pedigrees multiplex for systemic lupus erythematosus. Genes and Immunity. 7(5). 417–432. 46 indexed citations
11.
Kelly, Jennifer A., Flemming Pociot, K L Moser, et al.. (2005). Functional promoter haplotypes of the human FAS gene are associated with the phenotype of SLE characterized by thrombocytopenia. Genes and Immunity. 6(8). 699–706. 20 indexed citations
12.
Baechler, Emily C., Franak Batliwalla, George Karypis, et al.. (2004). Expression levels for many genes in human peripheral blood cells are highly sensitive to ex vivo incubation. Genes and Immunity. 5(5). 347–353. 121 indexed citations
13.
Langefeld, Carl D., Adrienne H. Williams, Ward Ortmann, et al.. (2004). Fine mapping chromosome 16q12 in a collection of 231 systemic lupus erythematosus sibpair and multiplex families. Genes and Immunity. 6(1). 19–23. 6 indexed citations
14.
Kelly, Jennifer A., K L Moser, & John B. Harley. (2002). The genetics of systemic lupus erythematosus: putting the pieces together. Genes and Immunity. 3(S1). S71–S85. 113 indexed citations
15.
Olson, Jane M., Yeunjoo E. Song, K L Moser, et al.. (2002). A genome screen of systemic lupus erythematosus using affected-relative-pair linkage analysis with covariates demonstrates genetic heterogeneity. Genes and Immunity. 3(S1). S5–S12. 25 indexed citations
16.
Gray‐McGuire, Courtney, K L Moser, Patrick M. Gaffney, et al.. (2000). Genome Scan of Human Systemic Lupus Erythematosus by Regression Modeling: Evidence of Linkage and Epistasis at 4p16-15.2. The American Journal of Human Genetics. 67(6). 1460–1469. 118 indexed citations
17.
Harley, J B, et al.. (1997). Heredity and systemic lupus erythematosus: dissecting a complex genetic disease.. PubMed. 97(3-4). 18–22. 1 indexed citations
18.
Steger, G.G., et al.. (1987). [Interferon alpha 2C in the treatment of 2 patients with AIDS-associated Kaposi sarcoma].. PubMed. 99(4). 120–3. 2 indexed citations
19.
Benda, L, et al.. (1966). [Clinical studies on the cardiotonic effects of proscillaridin A].. PubMed. 78(6). 106–9. 1 indexed citations

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.

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