Carl D. Langefeld

52.8k total citations · 3 hit papers
423 papers, 17.6k citations indexed

About

Carl D. Langefeld is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Carl D. Langefeld has authored 423 papers receiving a total of 17.6k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Genetics, 112 papers in Molecular Biology and 83 papers in Epidemiology. Recurrent topics in Carl D. Langefeld's work include Genetic Associations and Epidemiology (102 papers), Renal Diseases and Glomerulopathies (47 papers) and Systemic Lupus Erythematosus Research (44 papers). Carl D. Langefeld is often cited by papers focused on Genetic Associations and Epidemiology (102 papers), Renal Diseases and Glomerulopathies (47 papers) and Systemic Lupus Erythematosus Research (44 papers). Carl D. Langefeld collaborates with scholars based in United States, United Kingdom and Canada. Carl D. Langefeld's co-authors include Donald W. Bowden, Barry I. Freedman, Lynne E. Wagenknecht, Stephen S. Rich, Andrew A. Hicks, J. Jeffrey Carr, Robert P. Kimberly, John B. Harley, Jill M. Norris and Jasmin Divers and has published in prestigious journals such as Science, Nucleic Acids Research and Circulation.

In The Last Decade

Carl D. Langefeld

418 papers receiving 17.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Association of Trypanolytic ApoL1 Variants with Kidney Disease in African Americans

2010 1.3k citations Giulio Genovese, David J. Friedman et al. Science profile →
Genome-wide association scan in women with systemic lupus erythematosus identifies susceptibility variants in ITGAM, PXK, KIAA1542 and other loci

2008 950 citations John B. Harley, Carl D. Langefeld et al. profile →
Integrated omics: tools, advances and future approaches

2018 372 citations Carl D. Langefeld et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carl D. Langefeld United States	66	4.3k	4.0k	3.2k	2.9k	2.6k	423	17.6k
Michiaki Kubo Japan	77	5.1k 1.2×	4.3k 1.1×	1.2k 0.4×	2.0k 0.7×	2.9k 1.1×	385	18.3k
Jeffrey B. Kopp United States	88	8.6k 2.0×	2.5k 0.6×	10.8k 3.4×	2.7k 0.9×	2.4k 0.9×	377	25.3k
Donald W. Bowden United States	59	4.1k 0.9×	3.7k 0.9×	3.2k 1.0×	927 0.3×	1.9k 0.7×	359	14.7k
Mitsuo Iida Japan	73	2.9k 0.7×	1.9k 0.5×	1.6k 0.5×	1.9k 0.7×	3.3k 1.3×	528	18.6k
Hirofumi Makino Japan	74	7.0k 1.6×	1.3k 0.3×	6.6k 2.1×	3.2k 1.1×	2.7k 1.0×	672	23.6k
Florian Kronenberg Austria	73	4.7k 1.1×	2.5k 0.6×	4.2k 1.3×	1.3k 0.5×	2.2k 0.8×	380	20.4k
Agnes B. Fogo United States	86	7.1k 1.6×	1.5k 0.4×	10.1k 3.2×	2.0k 0.7×	1.5k 0.6×	501	23.7k
Atsushi Takahashi Japan	74	4.6k 1.1×	3.0k 0.7×	841 0.3×	1.8k 0.6×	2.4k 0.9×	487	19.5k
Erwin P. Böttinger United States	63	9.6k 2.2×	1.8k 0.5×	4.5k 1.4×	2.0k 0.7×	1.1k 0.4×	165	18.3k
Kiyoshi Kurokawa Japan	75	5.2k 1.2×	1.8k 0.4×	8.3k 2.6×	1.1k 0.4×	2.2k 0.8×	522	22.6k

Countries citing papers authored by Carl D. Langefeld

Since Specialization

Citations

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

Fields of papers citing papers by Carl D. Langefeld

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carl D. Langefeld. 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 Carl D. Langefeld. The network helps show where Carl D. Langefeld may publish in the future.

Co-authorship network of co-authors of Carl D. Langefeld

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

All Works

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20 of 20 papers shown

Liao, Shu‐Yi, Sean Jacobson, Nabeel Hamzeh, et al.. (2023). Genome-wide association study identifies multiple HLA loci for sarcoidosis susceptibility. Human Molecular Genetics. 32(16). 2669–2678. 10 indexed citations

Langefeld, Carl D., Bethany J. Wolf, Timothy D. Howard, et al.. (2022). Social Factors, Epigenomics and Lupus in African American Women (SELA) Study: protocol for an observational mechanistic study examining the interplay of multiple individual and social factors on lupus outcomes in a health disparity population. Lupus Science & Medicine. 9(1). e000698–e000698. 5 indexed citations

Crouse, Wesley L., Swapan K. Das, Gregory R. Keele, et al.. (2022). Transcriptome-wide analyses of adipose tissue in outbred rats reveal genetic regulatory mechanisms relevant for human obesity. Physiological Genomics. 54(6). 206–219. 6 indexed citations

Ainsworth, Hannah C., Timothy D. Howard, & Carl D. Langefeld. (2020). Intrinsic DNA topology as a prioritization metric in genomic fine-mapping studies. Nucleic Acids Research. 48(20). 11304–11321. 2 indexed citations

Leasure, Audrey C., Kevin N. Sheth, Mary E. Comeau, et al.. (2019). Identification and Validation of Hematoma Volume Cutoffs in Spontaneous, Supratentorial Deep Intracerebral Hemorrhage. Stroke. 50(8). 2044–2049. 18 indexed citations

Lee, Eunkyung, Cristiane Takita, Jean L. Wright, et al.. (2019). Genome-wide enriched pathway analysis of acute post-radiotherapy pain in breast cancer patients: a prospective cohort study. Human Genomics. 13(1). 28–28. 18 indexed citations

Liu, Jing, Karen M. Haas, Laurie L. Parker, et al.. (2019). The nuclear structural protein NuMA is a negative regulator of 53BP1 in DNA double-strand break repair. Nucleic Acids Research. 47(6). 2703–2715. 29 indexed citations

Ghodke‐Puranik, Yogita, Jessica M. Dorschner, Jennifer A. Kelly, et al.. (2019). Novel genetic associations with interferon in systemic lupus erythematosus identified by replication and fine-mapping of trait-stratified genome-wide screen. Cytokine. 132. 154631–154631. 20 indexed citations

Almeida‐Porada, Graça, Christopher Rodman, John H. Moon, et al.. (2018). Exposure of the Bone Marrow Microenvironment to Simulated Solar and Galactic Cosmic Radiation Induces Biological Bystander Effects on Human Hematopoiesis. Stem Cells and Development. 27(18). 1237–1256. 19 indexed citations

10.

Pirkle, James L., Mary E. Comeau, Carl D. Langefeld, et al.. (2017). Effects of weight‐based ultrafiltration rate limits on intradialytic hypotension in hemodialysis. Hemodialysis International. 22(2). 270–278. 19 indexed citations

11.

Walsh, Kyle, Daniel Woo, Padmini Sekar, et al.. (2016). Untreated Hypertension. Circulation. 134(19). 1444–1452. 50 indexed citations

12.

Ramos, Paula S., Andrew M. Shedlock, & Carl D. Langefeld. (2015). Genetics of autoimmune diseases: insights from population genetics. Journal of Human Genetics. 60(11). 657–664. 112 indexed citations

13.

Register, Thomas C., Keith A. Hruska, Jasmin Divers, et al.. (2012). Plasma Dickkopf1 (DKK1) Concentrations Negatively Associate with Atherosclerotic Calcified Plaque in African-Americans with Type 2 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 98(1). E60–E65. 44 indexed citations

14.

Genovese, Giulio, David J. Friedman, Michael D. Ross, et al.. (2010). Association of Trypanolytic ApoL1 Variants with Kidney Disease in African Americans. Science. 329(5993). 841–845. 1329 indexed citations breakdown →

15.

Bowden, Donald W., Sun-Young An, Jill M. Norris, et al.. (2010). Molecular basis of a linkage peak: exome sequencing and family-based analysis identify a rare genetic variant in the ADIPOQ gene in the IRAS Family Study. Human Molecular Genetics. 19(20). 4112–4120. 63 indexed citations

16.

Blumenthal, MJ, Carl D. Langefeld, Kathleen C. Barnes, et al.. (2005). A genome-wide search for quantitative trait loci contributing to variation in seasonal pollen reactivity. Journal of Allergy and Clinical Immunology. 117(1). 79–85. 19 indexed citations

17.

Campbell, Joel K., et al.. (2005). An exploration of sex-specific linkage disequilibrium on chromosome X in Caucasians from the COGA study. BMC Genetics. 6(S1). S81–S81. 3 indexed citations

18.

Freedman, Barry I., Fang‐Chi Hsu, Carl D. Langefeld, et al.. (2004). Renal artery calcified plaque associations with subclinical renal and cardiovascular disease. Kidney International. 65(6). 2262–2267. 20 indexed citations

19.

Xu, Jianfeng, Carl D. Langefeld, S. Lilly Zheng, et al.. (2003). Interaction effect of PTEN and CDKN1B chromosomal regions on prostate cancer linkage. Human Genetics. -1(1). 1–1. 17 indexed citations

20.

Ghosh, Soumitra, Carl D. Langefeld, Delphine S. Ally, et al.. (1999). The W64R variant of the β 3 -adrenergic receptor is not associated with Type II diabetes or obesity in a large Finnish sample. Diabetologia. 42(2). 238–244. 32 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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