Roger Perkins

13.8k total citations · 1 hit paper
88 papers, 6.1k citations indexed

About

Roger Perkins is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Roger Perkins has authored 88 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 30 papers in Computational Theory and Mathematics and 30 papers in Genetics. Recurrent topics in Roger Perkins's work include Computational Drug Discovery Methods (30 papers), Gene expression and cancer classification (27 papers) and Estrogen and related hormone effects (21 papers). Roger Perkins is often cited by papers focused on Computational Drug Discovery Methods (30 papers), Gene expression and cancer classification (27 papers) and Estrogen and related hormone effects (21 papers). Roger Perkins collaborates with scholars based in United States, China and Taiwan. Roger Perkins's co-authors include Weida Tong, Hong Fang, Huixiao Hong, Daniel M. Sheehan, Leming Shi, Qian Xie, William S. Branham, Carrie L. Moland, William J. Welsh and Weigong Ge and has published in prestigious journals such as Analytical Biochemistry, Clinical Cancer Research and Journal of Cell Science.

In The Last Decade

Roger Perkins

85 papers receiving 5.8k 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.

The Toxicology of Perfluorooctanoate

2004 640 citations Roger Perkins et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roger Perkins United States	45	2.1k	1.7k	1.5k	1.1k	842	88	6.1k
Huixiao Hong United States	56	3.0k 1.4×	2.2k 1.3×	2.4k 1.6×	830 0.7×	387 0.5×	227	9.0k
Menghang Xia United States	45	3.2k 1.5×	1.9k 1.1×	1.5k 1.0×	590 0.5×	196 0.2×	231	7.6k
Nicole Kleinstreuer United States	41	2.1k 1.0×	1.6k 1.0×	1.8k 1.2×	397 0.4×	285 0.3×	152	8.0k
Ruili Huang United States	48	3.3k 1.5×	2.6k 1.5×	1.3k 0.8×	602 0.5×	172 0.2×	219	8.0k
Daniel M. Sheehan United States	39	1.2k 0.6×	964 0.6×	2.6k 1.7×	1.8k 1.6×	156 0.2×	131	6.7k
Ann M. Richard United States	50	2.9k 1.4×	3.9k 2.3×	4.1k 2.7×	423 0.4×	1.5k 1.7×	116	10.2k
Russell S. Thomas United States	52	3.0k 1.4×	2.0k 1.2×	4.0k 2.6×	521 0.5×	638 0.8×	187	8.9k
David M. Reif United States	46	2.0k 0.9×	1.3k 0.8×	2.8k 1.9×	624 0.6×	508 0.6×	146	6.9k
Matthew T. Martin United States	41	1.8k 0.8×	2.2k 1.3×	3.3k 2.1×	435 0.4×	577 0.7×	67	6.7k
Christopher P. Austin United States	59	5.7k 2.7×	2.5k 1.5×	866 0.6×	881 0.8×	157 0.2×	172	11.9k

Countries citing papers authored by Roger Perkins

Since Specialization

Citations

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

Fields of papers citing papers by Roger Perkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roger Perkins

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

20 of 20 papers shown

Winder, Belinda, Michael B. Underwood, Roger Perkins, et al.. (2025). “Don’t think about a pink elephant”: collaboratively exploring the notion of desistance using the CoNavigator participatory tool. Journal of Criminal Psychology. 15(4). 432–446.

Fang, Hong, Stephen Harris, Minjun Chen, et al.. (2017). ArrayTrack: An FDA and Public Genomic Tool. Methods in molecular biology. 333–353. 10 indexed citations

Wang, Shi‐Heng, Yijun Ding, Weizhong Zhao, et al.. (2016). Text mining for identifying topics in the literatures about adolescent substance use and depression. BMC Public Health. 16(1). 279–279. 75 indexed citations

Ng, Hui Wen, Mao Shu, Heng Luo, et al.. (2015). Comparing genetic variants detected in the 1000 genomes project with SNPs determined by the International HapMap Consortium. Journal of Genetics. 94(4). 731–740. 12 indexed citations

Shen, Jie, Lei Xu, Hong Fang, et al.. (2013). EADB: An Estrogenic Activity Database for Assessing Potential Endocrine Activity. Toxicological Sciences. 135(2). 277–291. 56 indexed citations

Jones, Mark Hedley, et al.. (2011). The 2009 High School Transcript Study User's Guide. NCES 2011-465.. National Center for Education Statistics. 3 indexed citations

Hong, Huixiao, Roger Perkins, Leming Shi, et al.. (2009). The Accurate Prediction of Protein Family from Amino Acid Sequence by Measuring Features of Sequence Fragments. Journal of Computational Biology. 16(12). 1671–1688. 11 indexed citations

Sun, Hongmei, Hong Fang, Tao Chen, Roger Perkins, & Weida Tong. (2006). GOFFA: Gene Ontology For Functional Analysis – A FDA Gene Ontology Tool for Analysis of Genomic and Proteomic Data. BMC Bioinformatics. 7(S2). S23–S23. 48 indexed citations

Xie, Qian, Luke D. Ratnasinghe, Huixiao Hong, et al.. (2005). Decision Forest Analysis of 61 Single Nucleotide Polymorphisms in a Case-Control Study of Esophageal Cancer; a novel method. BMC Bioinformatics. 6(S2). S4–S4. 41 indexed citations

10.

Tong, Weida, Stephen Harris, Xiaoxi Cao, et al.. (2004). Development of public toxicogenomics software for microarray data management and analysis. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 549(1-2). 241–253. 76 indexed citations

11.

Tong, Weida, Qian Xie, Huixiao Hong, et al.. (2004). Using Decision Forest to Classify Prostate Cancer Samples on the Basis of SELDI-TOF MS Data: Assessing Chance Correlation and Prediction Confidence. Environmental Health Perspectives. 112(16). 1622–1627. 39 indexed citations

12.

Hong, Huixiao, et al.. (2003). Comparative molecular field analysis (CoMFA) model using a large diverse set of natural, synthetic and environmental chemicals for binding to the androgen receptor. SAR and QSAR in environmental research. 14(5-6). 373–388. 50 indexed citations

13.

Tong, Weida, Xiaoxi Cao, Stephen Harris, et al.. (2003). ArrayTrack - Supporting Toxicogenomic Research at the U.S. Food and Drug Administration National Center for Toxicological Research. Environmental Health Perspectives. 111(15). 7 indexed citations

14.

Tong, Weida, Xiaoxi Cao, Stephen Harris, et al.. (2003). ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research.. Environmental Health Perspectives. 111(15). 1819–1826. 156 indexed citations

15.

Branham, William S., Stacey L. Dial, Carrie L. Moland, et al.. (2002). Phytoestrogens and Mycoestrogens Bind to the Rat Uterine Estrogen Receptor. Journal of Nutrition. 132(4). 658–664. 118 indexed citations

16.

Tong, Weida, et al.. (2000). Predicted changes in pre-mRNA secondary structure vary in their association with exon skipping for mutations in exons 2, 4, and 8 of the Hprt gene and exon 51 of the fibrillin gene. PubMed. 432(1-2). 15–32. 18 indexed citations

17.

Fang, Hong, et al.. (2000). Quantitative comparisons of in vitro assays for estrogenic activities.. Environmental Health Perspectives. 108(8). 723–729. 222 indexed citations

18.

Li, Xing, William J. Welsh, Weida Tong, Roger Perkins, & Daniel M. Sheehan. (1999). Comparison of Estrogen Receptor α and β Subtypes Based on Comparative Molecular Field Analysis (CoMFA). SAR and QSAR in environmental research. 10(2-3). 215–237. 22 indexed citations

19.

Tong, Weida, Roger Perkins, Xing Li, William J. Welsh, & Daniel M. Sheehan. (1997). QSAR Models for Binding of Estrogenic Compounds to Estrogen Receptor α and β Subtypes. Endocrinology. 138(9). 4022–4025. 117 indexed citations

20.

Perkins, Roger, et al.. (1974). Television for Deaf Learners: A Utilization Quandary.. American annals of the deaf. 5 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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