Mark E. Wadsworth

862 total citations
9 papers, 255 citations indexed

About

Mark E. Wadsworth is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Mark E. Wadsworth has authored 9 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Genetics. Recurrent topics in Mark E. Wadsworth's work include Alzheimer's disease research and treatments (3 papers), Genomics and Phylogenetic Studies (2 papers) and Genomics and Rare Diseases (1 paper). Mark E. Wadsworth is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Genomics and Phylogenetic Studies (2 papers) and Genomics and Rare Diseases (1 paper). Mark E. Wadsworth collaborates with scholars based in United States. Mark E. Wadsworth's co-authors include Perry G. Ridge, Lyndsay A. Staley, Mark Ebbert, John Kauwe, Justin Miller, Brandon D. Pickett, John S. K. Kauwe, Eve H. Pickering, Alison Goate and Celeste M. Karch and has published in prestigious journals such as Science Advances, PLoS Genetics and BMC Bioinformatics.

In The Last Decade

Mark E. Wadsworth

9 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark E. Wadsworth United States	6	148	68	63	26	25	9	255
Lyndsay A. Staley United States	7	143 1.0×	74 1.1×	68 1.1×	32 1.2×	21 0.8×	11	263
Jhih‐Rong Lin United States	9	230 1.6×	70 1.0×	41 0.7×	8 0.3×	25 1.0×	13	329
Anne Thouard France	10	117 0.8×	26 0.4×	124 2.0×	15 0.6×	31 1.2×	12	312
Céline Gracia France	10	242 1.6×	91 1.3×	34 0.5×	10 0.4×	33 1.3×	14	388
Amelia J. Johnston Australia	6	311 2.1×	29 0.4×	58 0.9×	9 0.3×	19 0.8×	7	388
Zahra Hejazi Iran	11	204 1.4×	33 0.5×	57 0.9×	55 2.1×	61 2.4×	28	385
Mussa Ali United States	5	463 3.1×	35 0.5×	38 0.6×	9 0.3×	16 0.6×	5	705
Francisco Martı́nez-Azorı́n Spain	14	320 2.2×	73 1.1×	21 0.3×	10 0.4×	49 2.0×	36	426
Joshua Spurrier United States	10	114 0.8×	25 0.4×	30 0.5×	19 0.7×	38 1.5×	14	227
Wenmin Zhang China	11	144 1.0×	42 0.6×	19 0.3×	17 0.7×	93 3.7×	20	313

Countries citing papers authored by Mark E. Wadsworth

Since Specialization

Citations

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

Fields of papers citing papers by Mark E. Wadsworth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark E. Wadsworth. 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 Mark E. Wadsworth. The network helps show where Mark E. Wadsworth may publish in the future.

Co-authorship network of co-authors of Mark E. Wadsworth

This figure shows the co-authorship network connecting the top 25 collaborators of Mark E. Wadsworth. A scholar is included among the top collaborators of Mark E. Wadsworth 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 Mark E. Wadsworth. Mark E. Wadsworth 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:

9 of 9 papers shown

1.

Brandon, J. Anthony, et al.. (2025). A bioinformatic survey of RNA isoform diversity and expression across 9 GTEx tissues using long-read sequencing data. BMC Genomics. 26(1). 1078–1078. 1 indexed citations

2.

Wadsworth, Mark E., et al.. (2025). Genome annotations matter: characterizing Ensembl hg38 annotations from 2014 to 2023. BMC Genomics. 26(1). 1079–1079. 1 indexed citations

3.

Baessler, Andrew, Camille L. Novis, Jelena Perovanović, et al.. (2022). Tet2 coordinates with Foxo1 and Runx1 to balance T follicular helper cell and T helper 1 cell differentiation. Science Advances. 8(24). 21 indexed citations

4.

Ridge, Perry G., et al.. (2018). Assembly of 809 whole mitochondrial genomes with clinical, imaging, and fluid biomarker phenotyping. Alzheimer s & Dementia. 14(4). 514–519. 11 indexed citations

5.

Wadsworth, Mark E., et al.. (2018). Splice Site Variant Analyzer: Determining the Pathogenicity of Splice Site Variants. 2(1). 1–4. 1 indexed citations

6.

Ebbert, Mark, Mark E. Wadsworth, Lyndsay A. Staley, et al.. (2016). Evaluating the necessity of PCR duplicate removal from next-generation sequencing data and a comparison of approaches. BMC Bioinformatics. 17(S7). 239–239. 98 indexed citations

7.

Ebbert, Mark, Kevin L. Boehme, Mark E. Wadsworth, et al.. (2015). Interaction between variants in CLU and MS4A4E modulates Alzheimer's disease risk. Alzheimer s & Dementia. 12(2). 121–129. 17 indexed citations

8.

Kauwe, John S. K., Matthew H. Bailey, Perry G. Ridge, et al.. (2014). Genome-Wide Association Study of CSF Levels of 59 Alzheimer's Disease Candidate Proteins: Significant Associations with Proteins Involved in Amyloid Processing and Inflammation. PLoS Genetics. 10(10). e1004758–e1004758. 98 indexed citations

9.

Ebbert, Mark, et al.. (2014). Variant Tool Chest: an improved tool to analyze and manipulate variant call format (VCF) files. BMC Bioinformatics. 15(S7). S12–S12. 7 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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