Charles J. Weitz

13.8k total citations · 6 hit papers
45 papers, 10.1k citations indexed

About

Charles J. Weitz is a scholar working on Endocrine and Autonomic Systems, Plant Science and Physiology. According to data from OpenAlex, Charles J. Weitz has authored 45 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Endocrine and Autonomic Systems, 17 papers in Plant Science and 16 papers in Physiology. Recurrent topics in Charles J. Weitz's work include Circadian rhythm and melatonin (29 papers), Light effects on plants (16 papers) and Genetics, Aging, and Longevity in Model Organisms (11 papers). Charles J. Weitz is often cited by papers focused on Circadian rhythm and melatonin (29 papers), Light effects on plants (16 papers) and Genetics, Aging, and Longevity in Model Organisms (11 papers). Charles J. Weitz collaborates with scholars based in United States, Germany and Canada. Charles J. Weitz's co-authors include Kai-Florian Storch, David Staknis, Fred C. Davis, Nicholas Gekakis, Katja Lamia, Joseph S. Takahashi, David P. King, Lisa D. Wilsbacher, N. Viswanathan and Ovidiu Lipan and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Charles J. Weitz

45 papers receiving 9.9k citations

Hit Papers

Role of the CLOCK Protein in the Mammalian Circadian Mech... 1998 2026 2007 2016 1998 2002 2008 1998 2006 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles J. Weitz United States 35 7.4k 3.1k 2.9k 2.7k 2.3k 45 10.1k
Marina P. Antoch United States 35 7.0k 0.9× 3.5k 1.1× 2.3k 0.8× 1.7k 0.7× 2.4k 1.0× 50 9.7k
Cheng Chi Lee United States 25 6.1k 0.8× 2.7k 0.9× 2.0k 0.7× 2.7k 1.0× 2.6k 1.1× 29 9.0k
Martha Hotz Vitaterna United States 37 7.4k 1.0× 3.8k 1.2× 1.9k 0.7× 2.1k 0.8× 2.0k 0.9× 85 10.7k
Carla B. Green United States 38 6.1k 0.8× 3.2k 1.0× 1.7k 0.6× 1.6k 0.6× 1.9k 0.8× 83 8.5k
Choogon Lee United States 36 6.7k 0.9× 2.8k 0.9× 3.0k 1.1× 1.6k 0.6× 1.6k 0.7× 56 8.6k
John S. O’Neill United Kingdom 39 4.6k 0.6× 2.1k 0.7× 1.6k 0.6× 1.3k 0.5× 1.9k 0.8× 85 7.4k
David P. King United States 14 5.0k 0.7× 1.9k 0.6× 1.7k 0.6× 1.3k 0.5× 1.1k 0.5× 16 6.3k
Mark J. Zylka United States 41 3.7k 0.5× 2.9k 0.9× 1.6k 0.5× 2.8k 1.1× 3.1k 1.3× 96 9.7k
Caroline H. Ko United States 21 6.5k 0.9× 3.0k 1.0× 1.4k 0.5× 1.6k 0.6× 1.3k 0.6× 28 8.2k
Phillip L. Lowrey United States 11 5.7k 0.8× 2.4k 0.8× 1.8k 0.6× 1.5k 0.6× 864 0.4× 11 6.6k

Countries citing papers authored by Charles J. Weitz

Since Specialization
Citations

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

Fields of papers citing papers by Charles J. Weitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles J. Weitz. 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 Charles J. Weitz. The network helps show where Charles J. Weitz may publish in the future.

Co-authorship network of co-authors of Charles J. Weitz

This figure shows the co-authorship network connecting the top 25 collaborators of Charles J. Weitz. A scholar is included among the top collaborators of Charles J. Weitz 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 Charles J. Weitz. Charles J. Weitz 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.
Pollina, Elizabeth A., Cindy Lin, Christopher P. Davis, et al.. (2023). A NPAS4–NuA4 complex couples synaptic activity to DNA repair. Nature. 614(7949). 732–741. 61 indexed citations
2.
Zhang, Xinyan, et al.. (2022). Formation of thyroid hormone revealed by a cryo-EM structure of native bovine thyroglobulin. Nature Communications. 13(1). 2380–2380. 9 indexed citations
3.
Sinturel, Flore, Pascal Gos, Volodymyr Petrenko, et al.. (2021). Circadian hepatocyte clocks keep synchrony in the absence of a master pacemaker in the suprachiasmatic nucleus or other extrahepatic clocks. Genes & Development. 35(5-6). 329–334. 67 indexed citations
4.
Aryal, Rajindra P., Pieter Bas Kwak, Alfred Tamayo, et al.. (2017). Macromolecular Assemblies of the Mammalian Circadian Clock. Molecular Cell. 67(5). 770–782.e6. 179 indexed citations
5.
Tamayo, Alfred, Hao A. Duong, María S. Robles, Matthias Mann, & Charles J. Weitz. (2015). Histone monoubiquitination by Clock–Bmal1 complex marks Per1 and Per2 genes for circadian feedback. Nature Structural & Molecular Biology. 22(10). 759–766. 46 indexed citations
6.
Duong, Hao A. & Charles J. Weitz. (2014). Temporal orchestration of repressive chromatin modifiers by circadian clock Period complexes. Nature Structural & Molecular Biology. 21(2). 126–132. 82 indexed citations
7.
Sadacca, L. Amanda, Katja Lamia, Andrew S. deLemos, Barak Blum, & Charles J. Weitz. (2010). An intrinsic circadian clock of the pancreas is required for normal insulin release and glucose homeostasis in mice. Diabetologia. 54(1). 120–124. 246 indexed citations
8.
Storch, Kai-Florian & Charles J. Weitz. (2009). Daily rhythms of food-anticipatory behavioral activity do not require the known circadian clock. Proceedings of the National Academy of Sciences. 106(16). 6808–6813. 179 indexed citations
9.
Lamia, Katja, Kai-Florian Storch, & Charles J. Weitz. (2008). Physiological significance of a peripheral tissue circadian clock. Proceedings of the National Academy of Sciences. 105(39). 15172–15177. 841 indexed citations breakdown →
10.
Storch, Kai-Florian, Carlos Paz, James Signorovitch, et al.. (2007). Physiological Importance of a Circadian Clock Outside the Suprachiasmatic Nucleus. Cold Spring Harbor Symposia on Quantitative Biology. 72(1). 307–318. 12 indexed citations
11.
Zhou, Zhaolan, Elizabeth J. Hong, Sonia Cohen, et al.. (2006). Brain-Specific Phosphorylation of MeCP2 Regulates Activity-Dependent Bdnf Transcription, Dendritic Growth, and Spine Maturation. Neuron. 52(2). 255–269. 677 indexed citations breakdown →
12.
Kramer, Achim, et al.. (2005). A Screen for Secreted Factors of the Suprachiasmatic Nucleus. Methods in enzymology on CD-ROM/Methods in enzymology. 393. 645–663. 28 indexed citations
13.
Zhong, Sheng, Kai-Florian Storch, Ovidiu Lipan, et al.. (2004). GoSurfer. PubMed. 3(4). 261–264. 90 indexed citations
14.
Kramer, Achim, Fu‐Chia Yang, Pamela Snodgrass, et al.. (2003). Regulation of Daily Locomotor Activity and Sleep by Hypothalamic EGF Receptor Signalling. Novartis Foundation symposium. 253. 250–266. 17 indexed citations
15.
Storch, Kai-Florian, Ovidiu Lipan, Igor Leykin, et al.. (2002). Extensive and divergent circadian gene expression in liver and heart. Nature. 417(6884). 78–83. 1230 indexed citations breakdown →
16.
Gekakis, Nicholas, David Staknis, Fred C. Davis, et al.. (1998). Role of the CLOCK Protein in the Mammalian Circadian Mechanism. Science. 280(5369). 1564–1569. 1643 indexed citations breakdown →
18.
Nathans, Jeremy, et al.. (1992). MOLECULAR GENETICS OF HUMAN VISUAL PIGMENTS. Annual Review of Genetics. 26(1). 403–424. 122 indexed citations
19.
Weitz, Charles J. & Jeremy Nathans. (1992). Histidine residues regulate the transition of photoexcited rhodopsin to its active conformation, metarhodopsin II. Neuron. 8(3). 465–472. 73 indexed citations
20.
Nathans, Jeremy, Charles J. Weitz, Neeraj Agarwal, Izhak Nir, & David S. Papermaster. (1989). Production of bovine rhodopsin by mammalian cell lines expressing cloned cDNA: Spectrophotometry and subcellular localization. Vision Research. 29(8). 907–914. 55 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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