Sarah T. Wilkinson

490 total citations
16 papers, 350 citations indexed

About

Sarah T. Wilkinson is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Pathology and Forensic Medicine. According to data from OpenAlex, Sarah T. Wilkinson has authored 16 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Health, Toxicology and Mutagenesis and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Sarah T. Wilkinson's work include Environmental Justice and Health Disparities (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Mitochondrial Function and Pathology (3 papers). Sarah T. Wilkinson is often cited by papers focused on Environmental Justice and Health Disparities (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Mitochondrial Function and Pathology (3 papers). Sarah T. Wilkinson collaborates with scholars based in United States, Switzerland and Germany. Sarah T. Wilkinson's co-authors include Nima Mosammaparast, Lucy F. Pemberton, Walter T. Klimecki, Nathan Lothrop, Miranda Loh, Lisa M. Rimsza, Paloma I. Beamer, Hiroaki Nitta, Wenqing Zhang and Margaret M. Briehl and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Free Radical Biology and Medicine.

In The Last Decade

Sarah T. Wilkinson

16 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah T. Wilkinson United States	10	133	98	85	59	50	16	350
Avencia Sánchez-Mejías Spain	12	421 3.2×	21 0.2×	54 0.6×	59 1.0×	21 0.4×	20	656
Heather Lee Miller United States	10	326 2.5×	28 0.3×	66 0.8×	34 0.6×	65 1.3×	16	469
B.A. Finette United States	9	351 2.6×	32 0.3×	55 0.6×	59 1.0×	37 0.7×	10	585
Sean M. Harris United States	12	146 1.1×	11 0.1×	27 0.3×	90 1.5×	27 0.5×	35	406
Jelena Milosevic United States	10	408 3.1×	23 0.2×	109 1.3×	33 0.6×	81 1.6×	20	602
Ji-Young Seo South Korea	10	105 0.8×	31 0.3×	26 0.3×	29 0.5×	28 0.6×	33	364
Lisa M. Stuart Australia	12	363 2.7×	50 0.5×	127 1.5×	30 0.5×	8 0.2×	17	618
Kathryn McMahon United Kingdom	9	168 1.3×	30 0.3×	40 0.5×	23 0.4×	29 0.6×	14	407
Guoping Ren China	11	204 1.5×	28 0.3×	72 0.8×	15 0.3×	10 0.2×	25	389
Grace M. Choong United States	8	89 0.7×	53 0.5×	130 1.5×	173 2.9×	16 0.3×	21	467

Countries citing papers authored by Sarah T. Wilkinson

Since Specialization

Citations

This map shows the geographic impact of Sarah T. Wilkinson'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 Sarah T. Wilkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah T. Wilkinson more than expected).

Fields of papers citing papers by Sarah T. Wilkinson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah T. Wilkinson. 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 Sarah T. Wilkinson. The network helps show where Sarah T. Wilkinson may publish in the future.

Co-authorship network of co-authors of Sarah T. Wilkinson

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

All Works

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16 of 16 papers shown

Loh, Miranda, Nathan Lothrop, Walter T. Klimecki, et al.. (2016). Multimedia exposures to arsenic and lead for children near an inactive mine tailings and smelter site. Environmental Research. 146. 331–339. 43 indexed citations

Artiola, Janick F. & Sarah T. Wilkinson. (2015). How to Lower the Levels of Arsenic in Well Water: What Choices do Arizona Consumers Have?. UA Campus Repository (The University of Arizona). 1 indexed citations

Ramírez‐Andreotta, Mónica D., Nathan Lothrop, Sarah T. Wilkinson, et al.. (2015). Analyzing patterns of community interest at a legacy mining waste site to assess and inform environmental health literacy efforts. Journal of Environmental Studies and Sciences. 6(3). 543–555. 26 indexed citations

Lothrop, Nathan, Sarah T. Wilkinson, Marc P. Verhougstraete, et al.. (2015). Home Water Treatment Habits and Effectiveness in a Rural Arizona Community. Water. 7(3). 1217–1231. 26 indexed citations

Beamer, Paloma I., et al.. (2014). Use of dust fall filters as passive samplers for metal concentrations in air for communities near contaminated mine tailings. Environmental Science Processes & Impacts. 16(6). 1275–1281. 14 indexed citations

Briehl, Margaret M., Margaret E. Tome, Sarah T. Wilkinson, Melba C. Jaramillo, & Kristy Lee. (2014). Mitochondria and redox homoeostasis as chemotherapeutic targets. Biochemical Society Transactions. 42(4). 939–944. 15 indexed citations

Loh, Miranda, et al.. (2013). Exposure to Metals in Environmental Media Near a Mine Tailings Site. ISEE Conference Abstracts. 2013(1). 1 indexed citations

Wilkinson, Sarah T., Margaret E. Tome, & Margaret M. Briehl. (2012). Mitochondrial Adaptations to Oxidative Stress Confer Resistance to Apoptosis in Lymphoma Cells. International Journal of Molecular Sciences. 13(8). 10212–10228. 7 indexed citations

Wilkinson, Sarah T., Patrick Brunhoeber, Karl Garsha, et al.. (2011). Partial plasma cell differentiation as a mechanism of lost major histocompatibility complex class II expression in diffuse large B-cell lymphoma. Blood. 119(6). 1459–1467. 42 indexed citations

10.

Wilkinson, Sarah T., et al.. (2010). Increased cytochrome c correlates with poor survival in aggressive lymphoma. Oncology Letters. 1(2). 227–230. 8 indexed citations

11.

Nitta, Hiroaki, Wenqing Zhang, James R. Cook, et al.. (2010). Increased MYC gene copy number correlates with increased mRNA levels in diffuse large B-cell lymphoma. Haematologica. 95(4). 597–603. 79 indexed citations

12.

Glinsmann‐Gibson, Betty, et al.. (2010). MicroRNA Profiling In Activated B-Cell and Germinal Center B-Cell Diffuse Large B-Cell Lymphoma Using Formalin Fixed, Paraffin Embedded Patient Biopsies. Blood. 116(21). 3111–3111. 1 indexed citations

13.

Wilkinson, Sarah T., Roshanak Bob, Harald Stein, et al.. (2009). A Comparison of Gene Expression Pattern in Major Histocompatibility Class II-Low Diffuse Large B-Cell Lymphoma with Plasmablastic Lymphoma.. Blood. 114(22). 1941–1941. 1 indexed citations

14.

James, Brian P., William D. Staatz, Sarah T. Wilkinson, Emmanuelle J. Meuillet, & Garth Powis. (2008). Superoxide dismutase is regulated by LAMMER kinase in Drosophila and human cells. Free Radical Biology and Medicine. 46(6). 821–827. 11 indexed citations

15.

Wilkinson, Sarah T., et al.. (2007). Mutational Analysis of H3 and H4 N Termini Reveals Distinct Roles in Nuclear Import. Journal of Biological Chemistry. 282(28). 20142–20150. 65 indexed citations

16.

Hamre, Kristin, Dan Goldowitz, Sarah T. Wilkinson, & Douglas B. Matthews. (2007). Screening for ENU-induced mutations in mice that result in aberrant ethanol-related phenotypes.. Behavioral Neuroscience. 121(4). 665–678. 10 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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