John M. Parant

6.4k total citations · 3 hit papers
37 papers, 4.8k citations indexed

About

John M. Parant is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, John M. Parant has authored 37 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 18 papers in Oncology and 9 papers in Genetics. Recurrent topics in John M. Parant's work include Cancer-related Molecular Pathways (17 papers), Epigenetics and DNA Methylation (12 papers) and Ubiquitin and proteasome pathways (7 papers). John M. Parant is often cited by papers focused on Cancer-related Molecular Pathways (17 papers), Epigenetics and DNA Methylation (12 papers) and Ubiquitin and proteasome pathways (7 papers). John M. Parant collaborates with scholars based in United States, Netherlands and Canada. John M. Parant's co-authors include Guillermina Lozano, H. Joseph Yost, Kristen M. Kwan, Melissa Hardy, John P. Kanki, E. Fujimoto, Chi‐Bin Chien, Benjamin D. Mangum, Clemens Grabher and Douglas S. Campbell and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

John M. Parant

34 papers receiving 4.7k citations

Hit Papers

The Tol2kit: A multisite gateway‐based construction kit f... 2003 2026 2010 2018 2007 2004 2003 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John M. Parant United States 20 3.6k 2.3k 1.0k 747 503 37 4.8k
Nicole Schreiber‐Agus United States 29 3.7k 1.0× 1.6k 0.7× 533 0.5× 474 0.6× 251 0.5× 51 4.9k
Michele Harvey United States 11 4.0k 1.1× 3.7k 1.6× 638 0.6× 1.0k 1.4× 1.1k 2.1× 11 5.7k
Drazen B. Zimonjic United States 40 4.2k 1.2× 1.6k 0.7× 662 0.7× 1.2k 1.6× 230 0.5× 91 6.5k
Pumin Zhang United States 27 3.8k 1.1× 1.3k 0.5× 719 0.7× 523 0.7× 114 0.2× 51 4.6k
Magtouf Gatei Australia 31 3.3k 0.9× 1.6k 0.7× 439 0.4× 1.0k 1.4× 117 0.2× 49 3.9k
Marco Crescenzi Italy 37 3.3k 0.9× 1.3k 0.5× 433 0.4× 645 0.9× 122 0.2× 116 4.5k
Ralph Meuwissen Netherlands 19 2.6k 0.7× 1.4k 0.6× 302 0.3× 1.0k 1.4× 245 0.5× 25 4.1k
Sean E. Egan Canada 40 4.7k 1.3× 1.9k 0.8× 839 0.8× 1.0k 1.4× 130 0.3× 85 6.6k
Yueling Hao United States 11 3.5k 1.0× 3.1k 1.3× 443 0.4× 1.9k 2.5× 247 0.5× 16 6.5k
Elena N. Pugacheva United States 28 2.7k 0.8× 1.1k 0.5× 1.1k 1.1× 427 0.6× 214 0.4× 52 3.6k

Countries citing papers authored by John M. Parant

Since Specialization
Citations

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

Fields of papers citing papers by John M. Parant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John M. Parant

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Parant. A scholar is included among the top collaborators of John M. Parant 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 M. Parant. John M. Parant 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.
Wang, Jun, Zhang Li, Holly R. Thomas, et al.. (2025). p21, ccng1, foxo3b, and fbxw7 contribute to p53-dependent cell cycle arrest. iScience. 28(6). 112558–112558.
2.
Henry, Clarissa A., M. Chiara Manzini, John M. Parant, et al.. (2024). Standardization of zebrafish drug testing parameters for muscle diseases. Disease Models & Mechanisms. 17(1). 13 indexed citations
3.
Wang, Jun, Holly R. Thomas, Yu Chen, et al.. (2022). Reduced sister chromatid cohesion acts as a tumor penetrance modifier. PLoS Genetics. 18(8). e1010341–e1010341. 4 indexed citations
4.
5.
Edwards, Yvonne J. K., et al.. (2020). Human transcription factors responsive to initial reprogramming predominantly undergo legitimate reprogramming during fibroblast conversion to iPSCs. Scientific Reports. 10(1). 19710–19710. 10 indexed citations
6.
Parant, John M., et al.. (2016). Observing Mitotic Division and Dynamics in a Live Zebrafish Embryo. Journal of Visualized Experiments. 6 indexed citations
7.
Parant, John M. & Jing-Ruey Joanna Yeh. (2016). Approaches to Inactivate Genes in Zebrafish. Advances in experimental medicine and biology. 916. 61–86. 6 indexed citations
8.
Thomas, Holly R., et al.. (2015). Activity Suppression Behavior Phenotype in SULT4A1 Frameshift Mutant Zebrafish. Drug Metabolism and Disposition. 43(7). 1037–1044. 14 indexed citations
9.
Thomas, Holly R., et al.. (2014). High-Throughput Genome Editing and Phenotyping Facilitated by High Resolution Melting Curve Analysis. PLoS ONE. 9(12). e114632–e114632. 104 indexed citations
10.
Thomas, Holly R., Cheryl M. Ethen, Zhengliang L. Wu, et al.. (2014). Inhibition of SULT4A1 Expression Induces Up-Regulation of Phototransduction Gene Expression in 72-Hour Postfertilization Zebrafish Larvae. Drug Metabolism and Disposition. 42(5). 947–953. 9 indexed citations
11.
Tian, Ling, Guang Peng, John M. Parant, et al.. (2010). Essential roles of Jab1 in cell survival, spontaneous DNA damage and DNA repair. Oncogene. 29(46). 6125–6137. 54 indexed citations
12.
Lin, Patrick P., et al.. (2008). EWS-FLI1 Induces Developmental Abnormalities and Accelerates Sarcoma Formation in a Transgenic Mouse Model. Cancer Research. 68(21). 8968–8975. 72 indexed citations
13.
Iwakuma, Tomoo, Yuki Tochigi, Carolyn S. Van Pelt, et al.. (2007). Mtbp haploinsufficiency in mice increases tumor metastasis. Oncogene. 27(13). 1813–1820. 26 indexed citations
14.
Kwan, Kristen M., E. Fujimoto, Clemens Grabher, et al.. (2007). The Tol2kit: A multisite gateway‐based construction kit for Tol2 transposon transgenesis constructs. Developmental Dynamics. 236(11). 3088–3099. 1360 indexed citations breakdown →
15.
Iwakuma, Tomoo, John M. Parant, Edwin Zwart, et al.. (2004). Mutation at p53 serine 389 does not rescue the embryonic lethality in mdm2 or mdm4 null mice. Oncogene. 23(46). 7644–7650. 18 indexed citations
16.
Iwakuma, Tomoo, Young‐Ah Suh, Geng Liu, et al.. (2004). Gain of Function of a p53 Hot Spot Mutation in a Mouse Model of Li-Fraumeni Syndrome. Cell. 119(6). 861–872. 822 indexed citations breakdown →
17.
Leng, Roger, Yunping Lin, Weili Ma, et al.. (2003). Pirh2, a p53-Induced Ubiquitin-Protein Ligase, Promotes p53 Degradation. Cell. 112(6). 779–791. 584 indexed citations breakdown →
18.
Parant, John M. & Guillermina Lozano. (2003). DisruptingTP53 in mouse models of human cancers. Human Mutation. 21(3). 321–326. 30 indexed citations
19.
Liu, Geng, John M. Parant, Gilda P. Chau, et al.. (2003). Chromosome stability, in the absence of apoptosis, is critical for suppression of tumorigenesis in Trp53 mutant mice. Nature Genetics. 36(1). 63–68. 256 indexed citations
20.
Gu, Jijie, Hidehiko Kawai, Linghu Nie, et al.. (2002). Mutual Dependence of MDM2 and MDMX in Their Functional Inactivation of p53. Journal of Biological Chemistry. 277(22). 19251–19254. 212 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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