Stephen Ohms

912 total citations
19 papers, 715 citations indexed

About

Stephen Ohms is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Stephen Ohms has authored 19 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Plant Science and 4 papers in Cancer Research. Recurrent topics in Stephen Ohms's work include Chromosomal and Genetic Variations (4 papers), MicroRNA in disease regulation (3 papers) and Plant Molecular Biology Research (3 papers). Stephen Ohms is often cited by papers focused on Chromosomal and Genetic Variations (4 papers), MicroRNA in disease regulation (3 papers) and Plant Molecular Biology Research (3 papers). Stephen Ohms collaborates with scholars based in Australia, China and United States. Stephen Ohms's co-authors include María Magdalena Alonso-Peral, Yanjiao Li, Anthony A. Millar, Junyan Li, Robert S. Allen, Wendelin Schnippenkoetter, Rosemary G. White, Christopher R. Parish, Mark D. Hulett and J. Hornby and has published in prestigious journals such as PLoS ONE, Biochemistry and PLANT PHYSIOLOGY.

In The Last Decade

Stephen Ohms

19 papers receiving 704 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephen Ohms 476 359 146 102 53 19 715
Geoffroy de Bettignies 436 0.9× 96 0.3× 229 1.6× 43 0.4× 14 0.3× 18 577
J. Suso Platero 987 2.1× 409 1.1× 160 1.1× 97 1.0× 20 0.4× 12 1.2k
Manfred Koranda 741 1.6× 96 0.3× 113 0.8× 38 0.4× 29 0.5× 10 849
Esther Ortega 608 1.3× 190 0.5× 87 0.6× 58 0.6× 7 0.1× 20 792
Catherine A. Oleykowski 476 1.0× 268 0.7× 81 0.6× 39 0.4× 24 0.5× 13 614
Russell T. Burke 375 0.8× 430 1.2× 19 0.1× 33 0.3× 14 0.3× 15 704
Kay L. Walter 1.1k 2.3× 240 0.7× 31 0.2× 36 0.4× 19 0.4× 6 1.3k
Benjamin R. Houghtaling 494 1.0× 93 0.3× 133 0.9× 26 0.3× 14 0.3× 8 622
Miriam Sansó 1.3k 2.7× 122 0.3× 131 0.9× 75 0.7× 9 0.2× 30 1.5k

Countries citing papers authored by Stephen Ohms

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Ohms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Ohms

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

All Works

19 of 19 papers shown
1.
Ohms, Stephen, et al.. (2021). The Antiviral Drug Efavirenz in Breast Cancer Stem Cell Therapy. Cancers. 13(24). 6232–6232. 2 indexed citations
2.
Ohms, Stephen, Hugh J. French, Rohan B. H. Williams, et al.. (2018). The SuprMam1 breast cancer susceptibility locus disrupts the vitamin D/ calcium/ parathyroid hormone pathway and alters bone structure in congenic mice. The Journal of Steroid Biochemistry and Molecular Biology. 188. 48–58. 2 indexed citations
3.
Howles, Paul A., Leigh Gebbie, David A. Collings, et al.. (2016). A temperature-sensitive allele of a putative mRNA splicing helicase down-regulates many cell wall genes and causes radial swelling in Arabidopsis thaliana. Plant Molecular Biology. 91(1-2). 1–13. 13 indexed citations
4.
Ohms, Stephen, et al.. (2014). LINE-1 retrotransposons and let-7 miRNA: partners in the pathogenesis of cancer?. Frontiers in Genetics. 5. 338–338. 10 indexed citations
5.
Winterberg, Britta, Xiaomin Song, Dana Pascovici, et al.. (2014). The necrotrophic effector protein SnTox3 re-programs metabolism and elicits a strong defence response in susceptible wheat leaves. BMC Plant Biology. 14(1). 215–215. 38 indexed citations
6.
Ohms, Stephen & Danny Rangasamy. (2014). Silencing of LINE-1 retrotransposons contributes to variation in small noncoding RNA expression in human cancer cells. Oncotarget. 5(12). 4103–4117. 14 indexed citations
7.
Ohms, Stephen, et al.. (2013). microRNA profiling of root tissues and root forming explant cultures in Medicago truncatula. Planta. 238(1). 91–105. 31 indexed citations
8.
Patnala, Radhika, S. C. Lee, Jane E. Dahlstrom, et al.. (2013). Inhibition of LINE-1 retrotransposon-encoded reverse transcriptase modulates the expression of cell differentiation genes in breast cancer cells. Breast Cancer Research and Treatment. 143(2). 239–253. 43 indexed citations
9.
Xu, Yan, Stephen Ohms, Zhen Li, et al.. (2013). Changes in the Expression of miR-381 and miR-495 Are Inversely Associated with the Expression of the MDR1 Gene and Development of Multi-Drug Resistance. PLoS ONE. 8(11). e82062–e82062. 74 indexed citations
10.
Richardson, Alice, et al.. (2013). Predicting the presence of hepatitis B virus surface antigen in Chinese patients by pathology data mining. Journal of Medical Virology. 85(8). 1334–1339. 15 indexed citations
11.
Chen, Guobing, Lina Ma, Stephen Ohms, et al.. (2012). Plasticity of DNA methylation in mouse T cell activation and differentiation. BMC Molecular Biology. 13(1). 16–16. 20 indexed citations
12.
Li, Yan, et al.. (2012). NF-κB controls Il2 and Csf2 expression during T cell development and activation process. Molecular Biology Reports. 40(2). 1685–1692. 11 indexed citations
13.
Li, Yan, et al.. (2012). IL-2 and GM-CSF are regulated by DNA demethylation during activation of T cells, B cells and macrophages. Biochemical and Biophysical Research Communications. 419(4). 748–753. 6 indexed citations
14.
Alonso-Peral, María Magdalena, Junyan Li, Yanjiao Li, et al.. (2010). The MicroRNA159-Regulated GAMYB-like Genes Inhibit Growth and Promote Programmed Cell Death in Arabidopsis   . PLANT PHYSIOLOGY. 154(2). 757–771. 250 indexed citations
15.
Grayson, Trustees, Stephen Ohms, Kaiman Peng, et al.. (2007). Vascular microarray profiling in two models of hypertension identifies caveolin-1, Rgs2 and Rgs5 as antihypertensive targets. BMC Genomics. 8(1). 404–404. 30 indexed citations
16.
Shannon, M, K MCKENZIE, Amanda J. Edgley, et al.. (2004). Optimizing microarray in experimental hypertension. Kidney International. 67(1). 364–370. 3 indexed citations
17.
Hulett, Mark D., Eloisa Pagler, J. Hornby, et al.. (2001). Isolation, Tissue Distribution, and Chromosomal Localization of a Novel Testis-Specific Human Four-Transmembrane Gene Related to CD20 and FcϵRI-β. Biochemical and Biophysical Research Communications. 280(1). 374–379. 14 indexed citations
18.
Hulett, Mark D., J. Hornby, Stephen Ohms, et al.. (2000). Identification of Active-Site Residues of the Pro-Metastatic Endoglycosidase Heparanase. Biochemistry. 39(51). 15659–15667. 132 indexed citations
19.
Ohms, Stephen, et al.. (1999). DNA Adducts of 9-Anilinoacridine Mustards:  Characterization by NMR. Chemical Research in Toxicology. 12(12). 1166–1172. 7 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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