Randall T. Peterson

24.1k total citations · 8 hit papers
155 papers, 17.2k citations indexed

About

Randall T. Peterson is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Randall T. Peterson has authored 155 papers receiving a total of 17.2k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Molecular Biology, 60 papers in Cell Biology and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Randall T. Peterson's work include Zebrafish Biomedical Research Applications (59 papers), Receptor Mechanisms and Signaling (25 papers) and CRISPR and Genetic Engineering (19 papers). Randall T. Peterson is often cited by papers focused on Zebrafish Biomedical Research Applications (59 papers), Receptor Mechanisms and Signaling (25 papers) and CRISPR and Genetic Engineering (19 papers). Randall T. Peterson collaborates with scholars based in United States, United Kingdom and Canada. Randall T. Peterson's co-authors include Calum A. MacRae, Leonard I. Zon, Jing-Ruey Joanna Yeh, J. Keith Joung, Stuart L. Schreiber, Shengdar Q. Tsai, Jeffry D. Sander, Deepak Reyon, Morgan L. Maeder and Woong Y. Hwang and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Randall T. Peterson

144 papers receiving 16.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Efficient genome editing in zebrafish using a CRISPR-Cas system

2013 2.2k citations Jeffry D. Sander, Randall T. Peterson et al. profile →
Engineered CRISPR-Cas9 nucleases with altered PAM specificities

2015 1.3k citations Randall T. Peterson, Jing-Ruey Joanna Yeh et al. profile →
In vivo drug discovery in the zebrafish

2005 1.1k citations Randall T. Peterson et al. profile →
Zebrafish as tools for drug discovery

2015 909 citations Calum A. MacRae, Randall T. Peterson profile →
Dorsomorphin inhibits BMP signals required for embryogenesis and iron metabolism

2007 846 citations Kenneth D. Bloch, Randall T. Peterson et al. Nature Chemical Biology profile →
Zebrafish Behavioral Profiling Links Drugs to Biological Targets and Rest/Wake Regulation

2010 572 citations Jason Rihel, David A. Prober et al. Science profile →
BMP type I receptor inhibition reduces heterotopic ossification

2008 518 citations Randall T. Peterson, Kenneth D. Bloch et al. profile →
Use of Zebrafish in Drug Discovery Toxicology

2019 383 citations Randall T. Peterson et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Randall T. Peterson United States	58	11.0k	5.6k	1.7k	1.2k	1.2k	155	17.2k
Shuo Lin United States	71	12.2k 1.1×	5.3k 0.9×	2.2k 1.3×	2.0k 1.6×	2.0k 1.7×	293	19.7k
Hiroshi Kitagawa Japan	62	7.8k 0.7×	6.1k 1.1×	1.5k 0.9×	1.2k 0.9×	1.5k 1.3×	386	13.7k
Naoki Mochizuki Japan	64	10.4k 1.0×	4.5k 0.8×	641 0.4×	1.9k 1.5×	1.5k 1.3×	250	17.0k
Christopher G. Proud United Kingdom	85	17.6k 1.6×	3.7k 0.7×	1.5k 0.9×	1.5k 1.2×	1.8k 1.6×	346	22.9k
Michael A. Frohman United States	70	13.5k 1.2×	4.6k 0.8×	2.0k 1.2×	1.8k 1.4×	1.8k 1.6×	161	19.1k
Katsuya Okawa Japan	52	10.3k 0.9×	3.9k 0.7×	1.8k 1.1×	915 0.7×	1.9k 1.7×	118	15.9k
Masaki Inagaki Japan	73	13.1k 1.2×	7.7k 1.4×	1.7k 1.0×	2.3k 1.8×	1.1k 1.0×	223	18.7k
Robert Adelstein United States	80	12.0k 1.1×	8.1k 1.5×	1.0k 0.6×	1.6k 1.3×	958 0.8×	206	19.6k
Yu Yamaguchi Japan	60	8.1k 0.7×	6.5k 1.2×	1.6k 1.0×	2.9k 2.3×	1.1k 0.9×	226	15.7k
Wouter H. Moolenaar Netherlands	84	18.7k 1.7×	5.6k 1.0×	1.0k 0.6×	2.7k 2.1×	2.0k 1.7×	198	23.4k

Countries citing papers authored by Randall T. Peterson

Since Specialization

Citations

This map shows the geographic impact of Randall T. Peterson'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 Randall T. Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randall T. Peterson more than expected).

Fields of papers citing papers by Randall T. Peterson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randall T. Peterson. 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 Randall T. Peterson. The network helps show where Randall T. Peterson may publish in the future.

Co-authorship network of co-authors of Randall T. Peterson

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

All Works

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20 of 20 papers shown

Zheng, Kai, Rui Tao, Peter Haycock, et al.. (2025). Aryl azopyrroles as visible light photoswitchable TRPA1 ligands. Chemical Science. 16(42). 19777–19785.

Stubben, Chris, et al.. (2023). A zebrafish model of combined saposin deficiency identifies acid sphingomyelinase as a potential therapeutic target. Disease Models & Mechanisms. 16(7). 7 indexed citations

Parvez, Saba, Chelsea Herdman, Manu Beerens, et al.. (2021). MIC-Drop: A platform for large-scale in vivo CRISPR screens. Science. 373(6559). 1146–1151. 44 indexed citations

Bossé, Gabriel D., Gabriele Floris, Nilesh W. Gaikwad, et al.. (2021). The 5α-reductase inhibitor finasteride reduces opioid self-administration in animal models of opioid use disorder. Journal of Clinical Investigation. 131(10). 14 indexed citations

Geng, Yijie & Randall T. Peterson. (2021). Rapid Mounting of Zebrafish Larvae for Brain Imaging. Zebrafish. 18(6). 376–379. 5 indexed citations

Bossé, Gabriel D., Maren Watkins, Kevin Chase, et al.. (2021). Discovery of a Potent Conorfamide from Conus episcopatus Using a Novel Zebrafish Larvae Assay. Journal of Natural Products. 84(4). 1232–1243. 7 indexed citations

Paguigan, Noemi D., Zhenjian Lin, Kevin Chase, et al.. (2021). Nicotinic Acetylcholine Receptor Partial Antagonist Polyamides from Tunicates and Their Predatory Sea Slugs. ACS Chemical Neuroscience. 12(14). 2693–2704. 5 indexed citations

Torres, Joshua P., Zhenjian Lin, Pui‐Ying Lam, et al.. (2020). Boholamide A, an APD-Class, Hypoxia-Selective Cyclodepsipeptide. Journal of Natural Products. 83(4). 1249–1257. 11 indexed citations

Geng, Yijie & Randall T. Peterson. (2019). The zebrafish subcortical social brain as a model for studying social behavior disorders. Disease Models & Mechanisms. 12(8). 70 indexed citations

10.

Nath, Anjali K., Xu Shi, Devin Harrison, et al.. (2017). Cisplatin Analogs Confer Protection against Cyanide Poisoning. Cell chemical biology. 24(5). 565–575.e4. 19 indexed citations

11.

Metelo, Ana M., et al.. (2016). Loss ofvhlin the zebrafish pronephros recapitulates early stages of human clear cell renal cell carcinoma. Disease Models & Mechanisms. 9(8). 873–884. 21 indexed citations

12.

Metelo, Ana M., Xiang Li, Youngnam N. Jin, et al.. (2015). Pharmacological HIF2α inhibition improves VHL disease–associated phenotypes in zebrafish model. Journal of Clinical Investigation. 125(5). 1987–1997. 38 indexed citations

13.

Li, Xiang, David K. Rhee, Rajeev Malhotra, et al.. (2015). Progesterone receptor membrane component-1 regulates hepcidin biosynthesis. Journal of Clinical Investigation. 126(1). 389–401. 83 indexed citations

14.

Kokel, David, et al.. (2012). Behavioral barcoding in the cloud: embracing data-intensive digital phenotyping in neuropharmacology. Trends in biotechnology. 30(8). 421–425. 38 indexed citations

15.

Sander, Jeffry D., Jing-Ruey Joanna Yeh, Randall T. Peterson, & J. Keith Joung. (2011). Engineering Zinc Finger Nucleases for Targeted Mutagenesis of Zebrafish. Methods in cell biology. 104. 51–58. 26 indexed citations

16.

Rihel, Jason, David A. Prober, Anthony C. Arvanites, et al.. (2010). Zebrafish Behavioral Profiling Links Drugs to Biological Targets and Rest/Wake Regulation. Science. 327(5963). 348–351. 572 indexed citations breakdown →

17.

Kokel, David, Jennifer Bryan, Christian Laggner, et al.. (2010). Rapid behavior-based identification of neuroactive small molecules in the zebrafish. Nature Chemical Biology. 6(3). 231–237. 401 indexed citations

18.

Peterson, Randall T. & Michael Tsang. (2008). Cell Signaling (Reporters and Chemical Screens). Zebrafish. 5(3). 201–203.

19.

Mathew, Lijoy K., S. Sengupta, Atsushi Kawakami, et al.. (2007). Unraveling Tissue Regeneration Pathways Using Chemical Genetics. Journal of Biological Chemistry. 282(48). 35202–35210. 140 indexed citations

20.

Ren, Bin, Anthony A. Lanahan, Karen L Moodie, et al.. (2007). Abstract 614: ERK Signaling: the Pivotal Regulator of Arterial Differentiation. Circulation. 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.

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