Mindy Clyne

2.0k total citations
26 papers, 1.2k citations indexed

About

Mindy Clyne is a scholar working on Genetics, Molecular Biology and General Health Professions. According to data from OpenAlex, Mindy Clyne has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 14 papers in Molecular Biology and 3 papers in General Health Professions. Recurrent topics in Mindy Clyne's work include Genomics and Rare Diseases (10 papers), Genetic Associations and Epidemiology (9 papers) and BRCA gene mutations in cancer (9 papers). Mindy Clyne is often cited by papers focused on Genomics and Rare Diseases (10 papers), Genetic Associations and Epidemiology (9 papers) and BRCA gene mutations in cancer (9 papers). Mindy Clyne collaborates with scholars based in United States, India and Greece. Mindy Clyne's co-authors include Marta Gwinn, Muin J. Khoury, Wei Yu, I. Balazs, Morgan Baird, Anja Wulf, Muin J. Khoury, Wei Yu, Linda Bradley and Darrell L. Ellsworth and has published in prestigious journals such as Bioinformatics, American Journal of Epidemiology and BMC Bioinformatics.

In The Last Decade

Mindy Clyne

26 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mindy Clyne United States 17 526 433 144 111 81 26 1.2k
Deborah M. Lambert Ireland 19 730 1.4× 486 1.1× 109 0.8× 74 0.7× 56 0.7× 52 1.8k
Stephen C. Groft United States 19 561 1.1× 339 0.8× 184 1.3× 70 0.6× 34 0.4× 41 1.4k
Dan Masys United States 7 396 0.8× 463 1.1× 142 1.0× 80 0.7× 48 0.6× 8 1.0k
Vajira H. W. Dissanayake Sri Lanka 16 315 0.6× 384 0.9× 207 1.4× 70 0.6× 49 0.6× 153 1.3k
Yann Le Cam France 12 729 1.4× 400 0.9× 120 0.8× 92 0.8× 29 0.4× 25 1.4k
Gurdeep S. Sagoo United Kingdom 19 376 0.7× 466 1.1× 93 0.6× 99 0.9× 89 1.1× 46 1.4k
Amy R. Bentley United States 17 471 0.9× 346 0.8× 180 1.3× 75 0.7× 40 0.5× 59 1.1k
Andrew J. Mallett Australia 22 626 1.2× 817 1.9× 130 0.9× 62 0.6× 36 0.4× 130 1.6k
Paul Lacaze Australia 24 463 0.9× 591 1.4× 212 1.5× 147 1.3× 86 1.1× 103 1.8k
Mart Kals Estonia 23 365 0.7× 482 1.1× 72 0.5× 71 0.6× 58 0.7× 55 1.2k

Countries citing papers authored by Mindy Clyne

Since Specialization
Citations

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

Fields of papers citing papers by Mindy Clyne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mindy Clyne

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

All Works

20 of 20 papers shown
1.
Lee, Kyubum, Mindy Clyne, Wei Yu, Zhiyong Lu, & Muin J. Khoury. (2019). Tracking human genes along the translational continuum. npj Genomic Medicine. 4(1). 25–25. 3 indexed citations
2.
Doyle, Debra Lochner, Mindy Clyne, Juan L. Rodriguez, et al.. (2018). Proposed outcomes measures for state public health genomic programs. Genetics in Medicine. 20(9). 995–1003. 10 indexed citations
3.
4.
Roberts, Megan C., Mindy Clyne, Amy E. Kennedy, David Chambers, & Muin J. Khoury. (2017). The current state of funded NIH grants in implementation science in genomic medicine: a portfolio analysis. Genetics in Medicine. 21(5). 1218–1223. 16 indexed citations
5.
Khoury, Muin J., Michael Bowen, Mindy Clyne, et al.. (2017). From public health genomics to precision public health: a 20-year journey. Genetics in Medicine. 20(6). 574–582. 98 indexed citations
6.
Yu, Wei, Marta Gwinn, W. David Dotson, et al.. (2016). A knowledge base for tracking the impact of genomics on population health. Genetics in Medicine. 18(12). 1312–1314. 16 indexed citations
7.
Clyne, Mindy, et al.. (2016). Trends in published meta-analyses in cancer research, 2008–2013. Cancer Causes & Control. 28(1). 5–12. 5 indexed citations
8.
Clyne, Mindy, Sheri D. Schully, W. David Dotson, et al.. (2014). Horizon scanning for translational genomic research beyond bench to bedside. Genetics in Medicine. 16(7). 535–538. 22 indexed citations
9.
Dotson, W. David, Michael P. Douglas, Katherine Kolor, et al.. (2013). Prioritizing Genomic Applications for Action by Level of Evidence: A Horizon-Scanning Method. Clinical Pharmacology & Therapeutics. 95(4). 394–402. 46 indexed citations
10.
Yesupriya, Ajay, Camilla B. Pimentel, Mindy Clyne, et al.. (2013). A systematic review of cancer GWAS and candidate gene meta-analyses reveals limited overlap but similar effect sizes. European Journal of Human Genetics. 22(3). 402–408. 42 indexed citations
11.
Khoury, Muin J., Marta Gwinn, Mindy Clyne, & Wei Yu. (2011). Genetic epidemiology with a Capital E, ten years after. Genetic Epidemiology. 35(8). 845–852. 16 indexed citations
12.
Schully, Sheri D., Wei Yu, Linda M. Dong, et al.. (2011). Cancer GAMAdb: database of cancer genetic associations from meta-analyses and genome-wide association studies. European Journal of Human Genetics. 19(8). 928–930. 16 indexed citations
13.
Guessous, Idris, Marta Gwinn, Wei Yu, et al.. (2009). Trends in Pharmacogenomic Epidemiology: 2001–2007. Public Health Genomics. 12(3). 142–148. 2 indexed citations
14.
Yu, Wei, Mindy Clyne, Muin J. Khoury, & Marta Gwinn. (2009). Phenopedia and Genopedia: disease-centered and gene-centered views of the evolving knowledge of human genetic associations. Bioinformatics. 26(1). 145–146. 176 indexed citations
15.
Yu, Wei, Mindy Clyne, Siobhan M. Dolan, et al.. (2008). GAPscreener: An automatic tool for screening human genetic association literature in PubMed using the support vector machine technique. BMC Bioinformatics. 9(1). 205–205. 45 indexed citations
16.
Yesupriya, Ajay, Εvangelos Εvangelou, Fotini K. Kavvoura, et al.. (2008). Reporting of Human Genome Epidemiology (HuGE) association studies: An empirical assessment. BMC Medical Research Methodology. 8(1). 31–31. 29 indexed citations
17.
Clyne, Mindy, et al.. (2006). Tracking the Epidemiology of Human Genes in the Literature: The HuGE Published Literature Database. American Journal of Epidemiology. 164(1). 1–4. 95 indexed citations
18.
Gwinn, Marta, et al.. (2003). Public Knowledge regarding the Role of Genetic Susceptibility to Environmentally Induced Health Conditions. Public Health Genomics. 6(1). 22–28. 25 indexed citations
19.
Little, Julian, Linda Bradley, Molly S. Bray, et al.. (2002). Reporting, Appraising, and Integrating Data on Genotype Prevalence and Gene-Disease Associations. American Journal of Epidemiology. 156(4). 300–310. 293 indexed citations
20.
Yoon, Paula W., Bin Chen, Mindy Clyne, et al.. (2001). Public health impact of genetic tests at the end of the 20th century. Genetics in Medicine. 3(6). 405–410. 39 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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