Janis Wigginton

2.5k total citations · 1 hit paper
10 papers, 1.9k citations indexed

About

Janis Wigginton is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Janis Wigginton has authored 10 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Physiology. Recurrent topics in Janis Wigginton's work include Genetic Associations and Epidemiology (5 papers), Bioinformatics and Genomic Networks (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Janis Wigginton is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Bioinformatics and Genomic Networks (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Janis Wigginton collaborates with scholars based in United States. Janis Wigginton's co-authors include Gonçalo R. Abecasis, David J. Cutler, Denise E. Kirschner, Amy Sullivan, Alla Karnovsky, George Michailidis, William L. Duren, Charles Burant, Peter Sajjakulnukit and Maureen Kachman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and The Journal of Immunology.

In The Last Decade

Janis Wigginton

10 papers receiving 1.9k 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.

A Note on Exact Tests of Hardy-Weinberg Equilibrium

2005 1.1k citations Janis Wigginton, David J. Cutler et al. The American Journal of Human Genetics profile →

Peers

Countries citing papers authored by Janis Wigginton

Since Specialization

Citations

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

Fields of papers citing papers by Janis Wigginton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janis Wigginton

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

#	Work	Indexed citations
1	Comparing the Fasting and Random-Fed Metabolome Response to an Oral Glucose Tolerance Test in Children and Adolescents: Implications of Sex, Obesity, and Insulin Resistance 2021 ·Nutrients ·(unknown), Emily Hirschfeld, Tanu Soni, Maureen Kachman, Janis Wigginton, William L. Duren, (unknown), Alla Karnovsky, Charles Burant, Joyce M. Lee	7
2	Application of Differential Network Enrichment Analysis for Deciphering Metabolic Alterations 2020 ·Metabolites ·(unknown), Janis Wigginton, William L. Duren, (unknown), (unknown), Charles Burant, George Michailidis, Alla Karnovsky	7
3	Deep annotation of untargeted LC-MS metabolomics data with Binner 2019 ·Bioinformatics ·Maureen Kachman, (unknown), William L. Duren, Janis Wigginton, Peter Sajjakulnukit, George Michailidis, Charles Burant, Alla Karnovsky	45
4	Differential network enrichment analysis reveals novel lipid pathways in chronic kidney disease 2019 ·Bioinformatics ·Jing Ma, Alla Karnovsky, Farsad Afshinnia, Janis Wigginton, Daniel J. Rader, Loki Natarajan, Kumar Sharma, Anna Porter, Mahboob Rahman, Jiang He, L. Lee Hamm, Tariq Shafi, Debbie S. Gipson, Crystal A. Gadegbeku, Harold I. Feldman, George Michailidis, Subramaniam Pennathur	27
5	An evaluation of the replicate pool method: quick estimation of genome‐wide linkage peak p‐values 2006 ·Genetic Epidemiology ·Janis Wigginton, Gonçalo R. Abecasis	7
6	PEDSTATS: descriptive statistics, graphics and quality assessment for gene mapping data 2005 ·Computer applications in the biosciences ·Janis Wigginton, Gonçalo R. Abecasis	324
7	A Note on Exact Tests of Hardy-Weinberg Equilibrium breakdown → 2005 ·The American Journal of Human Genetics ·Janis Wigginton, David J. Cutler, Gonçalo R. Abecasis	1067
8	Handling Marker-Marker Linkage Disequilibrium: Pedigree Analysis with Clustered Markers 2005 ·The American Journal of Human Genetics ·Gonçalo R. Abecasis, Janis Wigginton	208
9	A Model to Predict Cell-Mediated Immune Regulatory Mechanisms During Human Infection with Mycobacterium tuberculosis 2001 ·The Journal of Immunology ·Janis Wigginton, Denise E. Kirschner	185
10	The coreceptor mutation CCR5Δ32 influences the dynamics of HIV epidemics and is selected for by HIV 2001 ·Proceedings of the National Academy of Sciences ·Amy Sullivan, Janis Wigginton, Denise E. Kirschner	27

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