John Platig

2.7k total citations
24 papers, 870 citations indexed

About

John Platig is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, John Platig has authored 24 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in John Platig's work include Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (7 papers) and Genetic Associations and Epidemiology (4 papers). John Platig is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (7 papers) and Genetic Associations and Epidemiology (4 papers). John Platig collaborates with scholars based in United States, France and Norway. John Platig's co-authors include John Quackenbush, Kimberly Glass, Marieke L. Kuijjer, Maud Fagny, Camila M. Lopes‐Ramos, Abhijeet R. Sonawane, Joseph N. Paulson, Cho-Yi Chen, Dawn L. DeMeo and Marouen Ben Guebila and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Genome Research.

In The Last Decade

John Platig

23 papers receiving 862 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Platig United States 13 595 182 107 62 61 24 870
Abhijeet R. Sonawane United States 14 635 1.1× 181 1.0× 100 0.9× 75 1.2× 70 1.1× 24 997
Frida Belinky United States 15 838 1.4× 212 1.2× 144 1.3× 56 0.9× 64 1.0× 20 1.2k
Sulev Reisberg Estonia 7 557 0.9× 222 1.2× 145 1.4× 109 1.8× 51 0.8× 14 1.1k
Tova F Fuller United States 8 669 1.1× 225 1.2× 108 1.0× 80 1.3× 58 1.0× 8 1.0k
Mary Shimoyama United States 19 717 1.2× 233 1.3× 70 0.7× 39 0.6× 28 0.5× 47 991
Kam D Dahlquist United States 7 1.0k 1.7× 176 1.0× 90 0.8× 68 1.1× 39 0.6× 16 1.3k
Gautier Koscielny United Kingdom 6 460 0.8× 141 0.8× 65 0.6× 83 1.3× 30 0.5× 7 634
Thomas Stoeger United States 16 1.0k 1.8× 133 0.7× 74 0.7× 100 1.6× 32 0.5× 27 1.4k
Yulin Dai United States 17 600 1.0× 260 1.4× 139 1.3× 113 1.8× 42 0.7× 55 1.0k
Britta Velten Germany 10 1.1k 1.9× 128 0.7× 182 1.7× 109 1.8× 46 0.8× 13 1.4k

Countries citing papers authored by John Platig

Since Specialization
Citations

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

Fields of papers citing papers by John Platig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Platig

This figure shows the co-authorship network connecting the top 25 collaborators of John Platig. A scholar is included among the top collaborators of John Platig 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 John Platig. John Platig 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.
Gentili, Michele, Kimberly Glass, Enrico Maiorino, et al.. (2024). Partial correlation network analysis identifies coordinated gene expression within a regional cluster of COPD genome-wide association signals. PLoS Computational Biology. 20(10). e1011079–e1011079.
2.
Weighill, Deborah, Marouen Ben Guebila, Kimberly Glass, John Quackenbush, & John Platig. (2022). Predicting genotype-specific gene regulatory networks. Genome Research. 32(3). 524–533. 6 indexed citations
3.
Guebila, Marouen Ben, Camila M. Lopes‐Ramos, Deborah Weighill, et al.. (2021). GRAND: a database of gene regulatory network models across human conditions. Nucleic Acids Research. 50(D1). D610–D621. 43 indexed citations
4.
Young, Albert T., Xavier Carette, Hanno Steen, et al.. (2021). Multi-omic regulatory networks capture downstream effects of kinase inhibition in Mycobacterium tuberculosis. npj Systems Biology and Applications. 7(1). 8–8. 3 indexed citations
5.
Xu, Zhonghui, John Platig, Adel Boueiz, et al.. (2021). Cigarette smoking-associated isoform switching and 3′ UTR lengthening via alternative polyadenylation. Genomics. 113(6). 4184–4195. 7 indexed citations
6.
Lackey, Lela, Auyon Ghosh, Vijay Shankar, et al.. (2021). Alternative poly-adenylation modulates α1-antitrypsin expression in chronic obstructive pulmonary disease. PLoS Genetics. 17(11). e1009912–e1009912. 6 indexed citations
7.
Weighill, Deborah, Marouen Ben Guebila, Kimberly Glass, et al.. (2021). Gene Targeting in Disease Networks. Frontiers in Genetics. 12. 649942–649942. 12 indexed citations
8.
Zeng, Jumei, John Platig, Tan‐Yun Cheng, et al.. (2020). Protein kinases PknA and PknB independently and coordinately regulate essential Mycobacterium tuberculosis physiologies and antimicrobial susceptibility. PLoS Pathogens. 16(4). e1008452–e1008452. 36 indexed citations
9.
Lopes‐Ramos, Camila M., Cho-Yi Chen, Marieke L. Kuijjer, et al.. (2020). Sex Differences in Gene Expression and Regulatory Networks across 29 Human Tissues. Cell Reports. 31(12). 107795–107795. 195 indexed citations
10.
Parker, Margaret M., Yuan Hao, Feng Guo, et al.. (2019). Identification of an emphysema-associated genetic variant near TGFB2 with regulatory effects in lung fibroblasts. eLife. 8. 18 indexed citations
11.
Fagny, Maud, John Platig, Marieke L. Kuijjer, Xihong Lin, & John Quackenbush. (2019). Nongenic cancer-risk SNPs affect oncogenes, tumour-suppressor genes, and immune function. British Journal of Cancer. 122(4). 569–577. 22 indexed citations
12.
Morrow, Jarrett D., Michael H. Cho, John Platig, et al.. (2018). Ensemble genomic analysis in human lung tissue identifies novel genes for chronic obstructive pulmonary disease. Human Genomics. 12(1). 1–1. 24 indexed citations
13.
Barry, Joseph D., Maud Fagny, Joseph N. Paulson, et al.. (2018). Histopathological Image QTL Discovery of Immune Infiltration Variants. iScience. 5. 80–89. 12 indexed citations
14.
Sonawane, Abhijeet R., John Platig, Maud Fagny, et al.. (2017). Understanding Tissue-Specific Gene Regulation. Cell Reports. 21(4). 1077–1088. 248 indexed citations
15.
Paulson, Joseph N., Cho-Yi Chen, Camila M. Lopes‐Ramos, et al.. (2017). Tissue-aware RNA-Seq processing and normalization for heterogeneous and sparse data. BMC Bioinformatics. 18(1). 437–437. 30 indexed citations
16.
Lopes‐Ramos, Camila M., Joseph N. Paulson, Cho-Yi Chen, et al.. (2017). Regulatory network changes between cell lines and their tissues of origin. BMC Genomics. 18(1). 723–723. 47 indexed citations
17.
Platig, John, Peter J. Castaldi, Dawn L. DeMeo, & John Quackenbush. (2016). Bipartite Community Structure of eQTLs. PLoS Computational Biology. 12(9). e1005033–e1005033. 29 indexed citations
18.
Rietman, Edward A., John Platig, Jack A. Tuszyński, & Giannoula Klement. (2016). Thermodynamic measures of cancer: Gibbs free energy and entropy of protein–protein interactions. Journal of Biological Physics. 42(3). 339–350. 26 indexed citations
19.
Platig, John, Edward Ott, & Michelle Girvan. (2013). Robustness of network measures to link errors. Physical Review E. 88(6). 62812–62812. 23 indexed citations
20.
Platig, John, et al.. (2013). Robustness of Network Measures to Link Errors. arXiv (Cornell University). 2013. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Abhijeet R. Sonawane Breakdown of academic impact, for papers by Frida Belinky Breakdown of academic impact, for papers by Sulev Reisberg Breakdown of academic impact, for papers by Tova F Fuller Breakdown of academic impact, for papers by Mary Shimoyama Breakdown of academic impact, for papers by Kam D Dahlquist Breakdown of academic impact, for papers by Gautier Koscielny Breakdown of academic impact, for papers by Thomas Stoeger Breakdown of academic impact, for papers by Yulin Dai Breakdown of academic impact, for papers by Britta Velten
Rankless by CCL
2026