Kenneth R. Norman

1.5k total citations
29 papers, 1.2k citations indexed

About

Kenneth R. Norman is a scholar working on Aging, Molecular Biology and Physiology. According to data from OpenAlex, Kenneth R. Norman has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Aging, 19 papers in Molecular Biology and 11 papers in Physiology. Recurrent topics in Kenneth R. Norman's work include Genetics, Aging, and Longevity in Model Organisms (20 papers), Mitochondrial Function and Pathology (11 papers) and Alzheimer's disease research and treatments (8 papers). Kenneth R. Norman is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (20 papers), Mitochondrial Function and Pathology (11 papers) and Alzheimer's disease research and treatments (8 papers). Kenneth R. Norman collaborates with scholars based in United States, Canada and India. Kenneth R. Norman's co-authors include Donald G. Moerman, Hiroshi Qadota, Benjamin D. Williams, Alexander C. Mackinnon, Zahra Ashkavand, Andres V. Maricq, Jennifer Bonner, Michael M. Francis, Michael Jensen and David M. Madsen and has published in prestigious journals such as Cell, Nature Communications and Neuron.

In The Last Decade

Kenneth R. Norman

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth R. Norman United States 18 634 449 273 247 203 29 1.2k
Giuseppe Cassata Switzerland 16 741 1.2× 358 0.8× 232 0.8× 120 0.5× 20 0.1× 22 1.1k
Fanny Mende Germany 9 918 1.4× 238 0.5× 1.0k 3.7× 402 1.6× 73 0.4× 10 1.7k
Wesley Hung Canada 20 829 1.3× 459 1.0× 182 0.7× 85 0.3× 43 0.2× 30 1.4k
Erik A. Lundquist United States 24 980 1.5× 881 2.0× 578 2.1× 138 0.6× 40 0.2× 56 1.8k
Lutz Kockel United States 13 808 1.3× 395 0.9× 242 0.9× 208 0.8× 15 0.1× 15 1.5k
David J. Reiner United States 18 1.2k 1.8× 949 2.1× 293 1.1× 162 0.7× 15 0.1× 40 1.8k
Manabu Tsuda Japan 21 956 1.5× 95 0.2× 286 1.0× 163 0.7× 45 0.2× 40 1.5k
Kent K. Grindstaff United States 13 1.4k 2.2× 58 0.1× 897 3.3× 246 1.0× 72 0.4× 15 2.3k
Brock Grill United States 22 994 1.6× 403 0.9× 406 1.5× 96 0.4× 20 0.1× 48 1.5k
Amanda Charlesworth United States 22 898 1.4× 90 0.2× 103 0.4× 71 0.3× 52 0.3× 33 1.4k

Countries citing papers authored by Kenneth R. Norman

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth R. Norman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth R. Norman. 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 Kenneth R. Norman. The network helps show where Kenneth R. Norman may publish in the future.

Co-authorship network of co-authors of Kenneth R. Norman

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth R. Norman. A scholar is included among the top collaborators of Kenneth R. Norman 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 Kenneth R. Norman. Kenneth R. Norman 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.
2.
Ashkavand, Zahra, et al.. (2024). C. elegans Presenilin Mediates Inter-Organelle Contacts and Communication that Is Required for Lysosome Activity. Aging and Disease. 16(5). 3022–3039. 2 indexed citations
3.
Norman, Kenneth R., et al.. (2022). Deregulation of Mitochondrial Calcium Handling Due to Presenilin Loss Disrupts Redox Homeostasis and Promotes Neuronal Dysfunction. Antioxidants. 11(9). 1642–1642. 7 indexed citations
4.
Nallanthighal, Sameera, Miran Rada, James Patrick Heiserman, et al.. (2020). Inhibition of collagen XI alpha 1-induced fatty acid oxidation triggers apoptotic cell death in cisplatin-resistant ovarian cancer. Cell Death and Disease. 11(4). 258–258. 64 indexed citations
5.
Norman, Kenneth R., et al.. (2019). Measurement of Oxygen Consumption Rates in Intact <em>Caenorhabditis elegans</em>. Journal of Visualized Experiments. 1 indexed citations
6.
Norman, Kenneth R., et al.. (2019). Measurement of Oxygen Consumption Rates in Intact <em>Caenorhabditis elegans</em>. Journal of Visualized Experiments. 4 indexed citations
7.
Norman, Kenneth R., et al.. (2018). Analysis of Mitochondrial Structure in the Body Wall Muscle of Caenorhabditis elegans. BIO-PROTOCOL. 8(7). 17 indexed citations
8.
Norman, Kenneth R., et al.. (2018). Measurement of ROS in Caenorhabditis elegans Using a Reduced Form of Fluorescein. BIO-PROTOCOL. 8(7). 21 indexed citations
9.
Norman, Kenneth R., et al.. (2018). Role of Presenilin in Mitochondrial Oxidative Stress and Neurodegeneration in Caenorhabditis elegans. Antioxidants. 7(9). 111–111. 24 indexed citations
10.
11.
Norman, Kenneth R., et al.. (2014). VAV-1 acts in a single interneuron to inhibit motor circuit activity in Caenorhabditis elegans. Nature Communications. 5(1). 5579–5579. 28 indexed citations
12.
Bonner, Jennifer, et al.. (2012). Large Isoforms of UNC-89 (Obscurin) Are Required for Muscle Cell Architecture and Optimal Calcium Release in Caenorhabditis elegans. PLoS ONE. 7(7). e40182–e40182. 37 indexed citations
13.
Norman, Kenneth R., et al.. (2007). UNC-97/PINCH is involved in the assembly of integrin cell adhesion complexes in Caenorhabditis elegans body wall muscle. Developmental Biology. 309(1). 45–55. 36 indexed citations
14.
Norman, Kenneth R., Robert T. Fazzio, Jerry E. Mellem, et al.. (2005). The Rho/Rac-Family Guanine Nucleotide Exchange Factor VAV-1 Regulates Rhythmic Behaviors in C. elegans. Cell. 123(1). 119–132. 54 indexed citations
15.
Rose, Jacqueline K., et al.. (2005). Decreased Sensory Stimulation Reduces Behavioral Responding, Retards Development, and Alters Neuronal Connectivity inCaenorhabditis elegans. Journal of Neuroscience. 25(31). 7159–7168. 51 indexed citations
16.
Francis, Michael M., Michael Jensen, David M. Madsen, et al.. (2005). The Ror Receptor Tyrosine Kinase CAM-1 Is Required for ACR-16-Mediated Synaptic Transmission at the C. elegans Neuromuscular Junction. Neuron. 46(4). 581–594. 112 indexed citations
17.
Rogalski, T M, Mary Gilbert, Danelle Devenport, Kenneth R. Norman, & Donald G. Moerman. (2003). DIM-1, a Novel Immunoglobulin Superfamily Protein in Caenorhabditis elegans, Is Necessary for Maintaining Bodywall Muscle Integrity. Genetics. 163(3). 905–915. 38 indexed citations
18.
Norman, Kenneth R. & Donald G. Moerman. (2002). α spectrin is essential for morphogenesis and body wall muscle formation in Caenorhabditis elegans. The Journal of Cell Biology. 157(4). 665–677. 76 indexed citations
19.
Mackinnon, Alexander C., Hiroshi Qadota, Kenneth R. Norman, Donald G. Moerman, & Benjamin D. Williams. (2002). C. elegans PAT-4/ILK Functions as an Adaptor Protein within Integrin Adhesion Complexes. Current Biology. 12(10). 787–797. 264 indexed citations
20.
Norman, Kenneth R. & Donald G. Moerman. (2000). The let-268 Locus of Caenorhabditis elegans Encodes a Procollagen Lysyl Hydroxylase That Is Essential for Type IV Collagen Secretion. Developmental Biology. 227(2). 690–705. 51 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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