Daniel L. Johnson

12.9k total citations
41 papers, 417 citations indexed

About

Daniel L. Johnson is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Daniel L. Johnson has authored 41 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Physiology. Recurrent topics in Daniel L. Johnson's work include Ubiquitin and proteasome pathways (5 papers), Tuberous Sclerosis Complex Research (3 papers) and Epigenetics and DNA Methylation (3 papers). Daniel L. Johnson is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Tuberous Sclerosis Complex Research (3 papers) and Epigenetics and DNA Methylation (3 papers). Daniel L. Johnson collaborates with scholars based in United States, Oman and United Kingdom. Daniel L. Johnson's co-authors include Ramesh Narayanan, Thirumagal Thiyagarajan, Suriyan Ponnusamy, Duane D. Miller, Thomas J. Moore, David Lim, Lawrence M. Pfeffer, Vera Bocharova, Yali He and Ryan D. Sullivan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Daniel L. Johnson

38 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel L. Johnson United States 11 163 81 73 69 39 41 417
Ana Paredes United States 13 248 1.5× 61 0.8× 40 0.5× 45 0.7× 32 0.8× 29 741
Bárbara Leal Portugal 17 140 0.9× 25 0.3× 88 1.2× 51 0.7× 56 1.4× 39 659
Sven Kurbel Croatia 11 69 0.4× 43 0.5× 29 0.4× 47 0.7× 59 1.5× 56 338
Karin Mossberg Sweden 12 202 1.2× 39 0.5× 42 0.6× 106 1.5× 29 0.7× 34 540
Karen Kerr Australia 13 398 2.4× 53 0.7× 111 1.5× 33 0.5× 77 2.0× 33 765
Alan Ma Australia 13 296 1.8× 74 0.9× 200 2.7× 52 0.8× 11 0.3× 35 644
Tamás Kovács Hungary 15 264 1.6× 62 0.8× 109 1.5× 40 0.6× 127 3.3× 46 608
Daniel G. Hottinger United States 8 94 0.6× 31 0.4× 21 0.3× 125 1.8× 55 1.4× 14 362

Countries citing papers authored by Daniel L. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Johnson. 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 Daniel L. Johnson. The network helps show where Daniel L. Johnson may publish in the future.

Co-authorship network of co-authors of Daniel L. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Johnson. A scholar is included among the top collaborators of Daniel L. Johnson 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 Daniel L. Johnson. Daniel L. Johnson 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.
Peterson, Kent D., Susanta K. Behura, David Kakhniashvili, et al.. (2025). Bovine Endometrium Drives and Responds to Divergence of In Vitro Produced Conceptus Biochemistry. The FASEB Journal. 39(16). e70951–e70951.
2.
Behura, Susanta K., David Kakhniashvili, Daniel L. Johnson, et al.. (2025). Unraveling the elongating bovine conceptus microenvironment: identification of gene transcripts and proteins along the conceptus-maternal interface in cattle. Biology of Reproduction. 112(3). 513–529. 1 indexed citations
3.
Johnson, Daniel L., Ravinder Kumar, David Kakhniashvili, Lawrence M. Pfeffer, & R. Nicholas Laribee. (2024). Ccr4-not ubiquitin ligase signaling regulates ribosomal protein homeostasis and inhibits 40S ribosomal autophagy. Journal of Biological Chemistry. 300(8). 107582–107582. 2 indexed citations
4.
Khan, Farhan, Gary Price, Daniel L. Johnson, et al.. (2023). Racial Differences in Androgen Receptor (AR) and AR Splice Variants (AR-SVs) Expression in Treatment-Naïve Androgen-Dependent Prostate Cancer. Biomedicines. 11(3). 648–648. 1 indexed citations
5.
Donaldson, Martin, et al.. (2023). Analysis and comparisons of gene expression changes in patient- derived neurons from ROHHAD, CCHS, and PWS. Frontiers in Pediatrics. 11. 1090084–1090084. 5 indexed citations
6.
Palani, Chithra D., et al.. (2022). MiRNA29B Induces Fetal Hemoglobin through Targeting DNMT3 and MYB in Vitro and In Vivo in Preclinical Townes Sickle Cell Mice. Blood. 140(Supplement 1). 2496–2497. 1 indexed citations
7.
Kumar, Prashant, Fahad Zadjali, Ying Yao, et al.. (2021). Tsc2 mutation induces renal tubular cell nonautonomous disease. Genes & Diseases. 9(1). 187–200. 10 indexed citations
8.
Donaldson, Martin, et al.. (2021). Molecular Changes in Prader-Willi Syndrome Neurons Reveals Clues About Increased Autism Susceptibility. Frontiers in Molecular Neuroscience. 14. 747855–747855. 15 indexed citations
9.
Chen, Hongfeng, et al.. (2020). The Ccr4-Not complex regulates TORC1 signaling and mitochondrial metabolism by promoting vacuole V-ATPase activity. PLoS Genetics. 16(10). e1009046–e1009046. 7 indexed citations
10.
Hope, Kevin A., et al.. (2020). Transcriptomic and proteomic profiling of glial versus neuronal Dube3a overexpression reveals common molecular changes in gliopathic epilepsies. Neurobiology of Disease. 141. 104879–104879. 3 indexed citations
11.
Ponnusamy, Suriyan, Yali He, Dong‐Jin Hwang, et al.. (2019). Orally Bioavailable Androgen Receptor Degrader, Potential Next-Generation Therapeutic for Enzalutamide-Resistant Prostate Cancer. Clinical Cancer Research. 25(22). 6764–6780. 60 indexed citations
12.
Fatima, Iram, Jackelyn A. Alva-Ornelas, Aysha B. Khalid, et al.. (2019). Simultaneous Multi-Organ Metastases from Chemo-Resistant Triple-Negative Breast Cancer Are Prevented by Interfering with WNT-Signaling. Cancers. 11(12). 2039–2039. 27 indexed citations
13.
Valianou, Matthildi, Daniel L. Johnson, Peter Vogel, et al.. (2019). Rapalog resistance is associated with mesenchymal-type changes in Tsc2-null cells. Scientific Reports. 9(1). 3015–3015. 12 indexed citations
14.
Chen, Hongfeng, et al.. (2018). The conserved RNA recognition motif and C3H1 domain of the Not4 ubiquitin ligase regulate in vivo ligase function. Scientific Reports. 8(1). 8163–8163. 9 indexed citations
15.
Ponnusamy, Suriyan, Ryan D. Sullivan, Dahui You, et al.. (2017). Androgen receptor agonists increase lean mass, improve cardiopulmonary functions and extend survival in preclinical models of Duchenne muscular dystrophy. Human Molecular Genetics. 26(13). 2526–2540. 23 indexed citations
16.
Jiang, Bo, Shiqian Ma, Jason Causey, et al.. (2016). SparRec: An effective matrix completion framework of missing data imputation for GWAS. Scientific Reports. 6(1). 35534–35534. 9 indexed citations
17.
Qiao, Wen, et al.. (2009). Design and fabrication of accommodating fluidic intraocular lens. PubMed. 2009. 274–277. 2 indexed citations
18.
Qiao, Wen, Daniel L. Johnson, Frank S. Tsai, Sung Hwan Cho, & Yu‐Hwa Lo. (2009). Bio-inspired accommodating fluidic intraocular lens. Optics Letters. 34(20). 3214–3214. 10 indexed citations
19.
Johnson, Daniel L.. (1980). Quantifiable Effects of Noise on Humans,. Defense Technical Information Center (DTIC).
20.
Gierke, H. E. von & Daniel L. Johnson. (1976). Summary of Present Damage Risk Criteria,. Defense Technical Information Center (DTIC). 3 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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