Shawn Harris

1.9k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Shawn Harris is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Environmental Chemistry. According to data from OpenAlex, Shawn Harris has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Health, Toxicology and Mutagenesis and 3 papers in Environmental Chemistry. Recurrent topics in Shawn Harris's work include Effects and risks of endocrine disrupting chemicals (3 papers), Immunotoxicology and immune responses (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). Shawn Harris is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (3 papers), Immunotoxicology and immune responses (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). Shawn Harris collaborates with scholars based in United States, Austria and France. Shawn Harris's co-authors include Ruchir Shah, Michael A. Resnick, Steven A. Roberts, Leszek J. Klimczak, Gregory V. Kryukov, Dmitry A. Gordenin, David C. Fargo, Sara A. Grimm, Michael S. Lawrence and Scott L. Carter and has published in prestigious journals such as Nature Genetics, Molecular Cell and Environmental Health Perspectives.

In The Last Decade

Shawn Harris

13 papers receiving 1.3k 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.

An APOBEC cytidine deaminase mutagenesis pattern is widespread in human cancers

2013 832 citations Steven A. Roberts, Michael S. Lawrence et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shawn Harris United States	9	888	510	283	169	147	15	1.3k
Zhijian Duan United States	20	791 0.9×	312 0.6×	224 0.8×	100 0.6×	162 1.1×	39	1.4k
Jingde Zhu China	22	1.5k 1.7×	557 1.1×	211 0.7×	210 1.2×	126 0.9×	41	2.1k
Amarsanaa Jazag Japan	20	885 1.0×	250 0.5×	443 1.6×	106 0.6×	215 1.5×	29	1.4k
Kouki Nio Japan	16	698 0.8×	340 0.7×	449 1.6×	46 0.3×	332 2.3×	54	1.3k
Bodil Øster Denmark	16	664 0.7×	316 0.6×	300 1.1×	90 0.5×	153 1.0×	26	1.0k
Claire-Angélique Renard France	12	1.5k 1.7×	273 0.5×	428 1.5×	148 0.9×	431 2.9×	13	2.1k
Adam P. Butler United Kingdom	14	913 1.0×	542 1.1×	199 0.7×	457 2.7×	46 0.3×	22	1.3k
Carmela Beger Germany	18	722 0.8×	230 0.5×	204 0.7×	320 1.9×	117 0.8×	30	1.3k
Haixin Lei China	21	963 1.1×	405 0.8×	239 0.8×	76 0.4×	56 0.4×	28	1.3k
Joanna H.M. Tong Hong Kong	15	931 1.0×	363 0.7×	270 1.0×	61 0.4×	199 1.4×	22	1.3k

Countries citing papers authored by Shawn Harris

Since Specialization

Citations

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

Fields of papers citing papers by Shawn Harris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shawn Harris

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

15 of 15 papers shown

Tokarz, Debra A., Caroll A. Co, Shawn Harris, et al.. (2024). Inter-Rater and Intra-Rater Agreement in Scoring Severity of Rodent Cardiomyopathy and Relation to Artificial Intelligence–Based Scoring. Toxicologic Pathology. 52(5). 258–265.

Smith‐Roe, Stephanie L., Carol D. Swartz, Xiaoqing Chang, et al.. (2023). Evaluation of the herbicide glyphosate, (aminomethyl)phosphonic acid, and glyphosate‐based formulations for genotoxic activity using in vitro assays. Environmental and Molecular Mutagenesis. 64(4). 202–233. 9 indexed citations

Harris, Shawn, et al.. (2021). Gravity Assist: An Immersive and Interactive Visualization. 18. 401–405. 3 indexed citations

Frawley, Rachel P., Dori R. Germolec, Victor J. Johnson, et al.. (2021). Evaluation of skin sensitization induced by four ionic liquids. Journal of Applied Toxicology. 42(3). 392–408. 3 indexed citations

Frawley, Rachel P., Kristine L. Witt, Helen Cunny, et al.. (2020). Evaluation of 2-methoxy-4-nitroaniline (MNA) in hypersensitivity, 14-day subacute, reproductive, and genotoxicity studies. Toxicology. 441. 152474–152474. 2 indexed citations

Elmore, Susan A., Chad R. Blystone, Beth A. Lubeck, Shawn Harris, & Crystal L. Johnson. (2020). The Assessment of Longitudinal Sections of Rat Female Reproductive Tissues for NTP 2-Year Toxicity and Carcinogenicity Studies. Toxicologic Pathology. 48(6). 747–755.

Shockley, Keith R., et al.. (2019). Quality Control of Quantitative High Throughput Screening Data. Frontiers in Genetics. 10. 387–387. 8 indexed citations

Frawley, Rachel P., Matthew J. Smith, Mark F. Cesta, et al.. (2018). Immunotoxic and hepatotoxic effects of perfluoro-n-decanoic acid (PFDA) on female Harlan Sprague–Dawley rats and B₆C₃F₁/N mice when administered by oral gavage for 28 days. Journal of Immunotoxicology. 15(1). 41–52. 42 indexed citations

Winn, Amber, Päivi M. Salo, Michelle L. Sever, et al.. (2015). Efficacy of an in-home test kit in reducing dust mite allergen levels: results of a randomized controlled pilot study. Journal of Asthma. 53(2). 133–138. 9 indexed citations

10.

Qiu, Lianqun, et al.. (2014). Global Analysis of Posttranscriptional Gene Expression in Response to Sodium Arsenite. Environmental Health Perspectives. 123(4). 324–330. 9 indexed citations

11.

Roberts, Steven A., Michael S. Lawrence, Leszek J. Klimczak, et al.. (2013). An APOBEC cytidine deaminase mutagenesis pattern is widespread in human cancers. Nature Genetics. 45(9). 970–976. 832 indexed citations breakdown →

12.

Roberts, Steven A., Joan F. Sterling, Shawn Harris, et al.. (2012). Clustered Mutations in Yeast and in Human Cancers Can Arise from Damaged Long Single-Strand DNA Regions. Molecular Cell. 46(4). 424–435. 314 indexed citations

13.

Peddada, Shyamal D., Shawn Harris, & Ori Davidov. (2010). Analysis of Correlated Gene Expression Data on Ordered Categories.. PubMed. 64(1). 45–60. 5 indexed citations

14.

Dinse, Gregg E., Shyamal D. Peddada, Shawn Harris, & Susan A. Elmore. (2010). Comparison of NTP Historical Control Tumor Incidence Rates in Female Harlan Sprague Dawley and Fischer 344/N Rats. Toxicologic Pathology. 38(5). 765–775. 42 indexed citations

15.

Peddada, Shyamal D., et al.. (2005). ORIOGEN: order restricted inference for ordered gene expression data. Computer applications in the biosciences. 21(20). 3933–3934. 48 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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