Ben Katz

1.2k total citations
37 papers, 859 citations indexed

About

Ben Katz is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Sensory Systems. According to data from OpenAlex, Ben Katz has authored 37 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 16 papers in Molecular Biology and 13 papers in Sensory Systems. Recurrent topics in Ben Katz's work include Neurobiology and Insect Physiology Research (19 papers), Ion Channels and Receptors (13 papers) and Pain Mechanisms and Treatments (10 papers). Ben Katz is often cited by papers focused on Neurobiology and Insect Physiology Research (19 papers), Ion Channels and Receptors (13 papers) and Pain Mechanisms and Treatments (10 papers). Ben Katz collaborates with scholars based in Israel, United States and United Kingdom. Ben Katz's co-authors include Baruch Minke, Shaya Lev, Alexander M. Binshtok, Yaki Caspi, Moshe Parnas, Vered Tzarfaty, S. Mordechaǐ, Elad Shufan, Ahmad Salman and Maximilian Peters and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Neuron.

In The Last Decade

Ben Katz

36 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Katz Israel 16 377 282 187 177 147 37 859
Manuel J. Gayoso Spain 19 266 0.7× 326 1.2× 143 0.8× 57 0.3× 147 1.0× 58 976
Isaías Glezer Brazil 20 222 0.6× 388 1.4× 129 0.7× 253 1.4× 256 1.7× 37 1.3k
Mart H. Mojet United Kingdom 8 251 0.7× 285 1.0× 89 0.5× 94 0.5× 45 0.3× 9 712
Jeff DeFalco United States 8 143 0.4× 190 0.7× 267 1.4× 169 1.0× 48 0.3× 11 828
James T. Taylor United States 14 287 0.8× 573 2.0× 168 0.9× 95 0.5× 30 0.2× 27 938
Alexandra Alves‐Rodrigues Netherlands 7 341 0.9× 796 2.8× 61 0.3× 173 1.0× 100 0.7× 7 1.4k
Sean I. Patterson Argentina 15 396 1.1× 585 2.1× 87 0.5× 267 1.5× 53 0.4× 24 1.1k
Flávio H. Beraldo Brazil 19 145 0.4× 647 2.3× 69 0.4× 255 1.4× 101 0.7× 29 1.2k
Lori M. N. Shimoda United States 13 146 0.4× 222 0.8× 154 0.8× 138 0.8× 143 1.0× 24 783
A. Kurosky United States 8 247 0.7× 477 1.7× 391 2.1× 248 1.4× 48 0.3× 11 902

Countries citing papers authored by Ben Katz

Since Specialization
Citations

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

Fields of papers citing papers by Ben Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben Katz. 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 Ben Katz. The network helps show where Ben Katz may publish in the future.

Co-authorship network of co-authors of Ben Katz

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Katz. A scholar is included among the top collaborators of Ben Katz 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 Ben Katz. Ben Katz 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.
Caspi, Yaki, et al.. (2022). Structural plasticity of axon initial segment in spinal cord neurons underlies inflammatory pain. Pain. 164(6). 1388–1401. 5 indexed citations
2.
Katz, Ben, Simon Edvardson, Channa Maayan, et al.. (2022). Nociception and pain in humans lacking a functional TRPV1 channel. Journal of Clinical Investigation. 133(3). 41 indexed citations
3.
Goldstein, Robert H., et al.. (2019). Location and Plasticity of the Sodium Spike Initiation Zone in Nociceptive Terminals In Vivo. Neuron. 102(4). 801–812.e5. 25 indexed citations
4.
Peters, Maximilian, et al.. (2019). Modulation of Transient Receptor Potential C Channel Activity by Cholesterol. Frontiers in Pharmacology. 10. 1487–1487. 10 indexed citations
5.
Gershkovitz, Maya, Yaki Caspi, Tanya Fainsod-Levi, et al.. (2018). TRPM2 Mediates Neutrophil Killing of Disseminated Tumor Cells. Cancer Research. 78(10). 2680–2690. 165 indexed citations
6.
Katz, Ben & Baruch Minke. (2018). The Drosophila light-activated TRP and TRPL channels - Targets of the phosphoinositide signaling cascade. Progress in Retinal and Eye Research. 66. 200–219. 25 indexed citations
7.
Katz, Ben, et al.. (2017). Electrophysiological Method for Whole-cell Voltage Clamp Recordings from <em>Drosophila</em> Photoreceptors. Journal of Visualized Experiments. 1 indexed citations
8.
Peters, Maximilian, et al.. (2017). Depletion of Membrane Cholesterol Suppresses Drosophila Transient Receptor Potential-Like (TRPL) Channel Activity. Current topics in membranes. 80. 233–254. 11 indexed citations
9.
Voolstra, Olaf, et al.. (2017). The Phosphorylation State of theDrosophilaTRP Channel Modulates the Frequency Response to Oscillating LightIn Vivo. Journal of Neuroscience. 37(15). 4213–4224. 9 indexed citations
10.
Goldstein, Robert H., et al.. (2017). The Role of Kv7/M Potassium Channels in Controlling Ectopic Firing in Nociceptors. Frontiers in Molecular Neuroscience. 10. 181–181. 23 indexed citations
11.
Yasin, Bushra, et al.. (2017). Ectopic Expression of Mouse Melanopsin in Drosophila Photoreceptors Reveals Fast Response Kinetics and Persistent Dark Excitation. Journal of Biological Chemistry. 292(9). 3624–3636. 5 indexed citations
12.
Katz, Ben, et al.. (2017). Electrophysiological Method for Whole-cell Voltage Clamp Recordings from <em>Drosophila</em> Photoreceptors. Journal of Visualized Experiments. 3 indexed citations
13.
Katz, Ben, et al.. (2013). TheDrosophilaTRP and TRPL are assembled as homomultimeric channels in vivo. Journal of Cell Science. 126(Pt 14). 3121–33. 9 indexed citations
14.
Katz, Ben & Baruch Minke. (2012). Phospholipase C-Mediated Suppression of Dark Noise Enables Single-Photon Detection inDrosophilaPhotoreceptors. Journal of Neuroscience. 32(8). 2722–2733. 22 indexed citations
15.
Lev, Shaya, Ben Katz, & Baruch Minke. (2012). The activity of the TRP-like channel depends on its expression system. Channels. 6(2). 86–93. 14 indexed citations
16.
Dadon, Daniela, Ben Katz, Maximilian Peters, et al.. (2012). Compartmentalization and Ca2+Buffering Are Essential for Prevention of Light-Induced Retinal Degeneration. Journal of Neuroscience. 32(42). 14696–14708. 19 indexed citations
17.
Katz, Ben, et al.. (2011). Translocation of the Drosophila Transient Receptor Potential-like (TRPL) Channel Requires Both the N- and C-terminal Regions Together with Sustained Ca2+ Entry. Journal of Biological Chemistry. 286(39). 34234–34243. 17 indexed citations
18.
Lev, Shaya, Ben Katz, Vered Tzarfaty, & Baruch Minke. (2011). Signal-dependent Hydrolysis of Phosphatidylinositol 4,5-Bisphosphate without Activation of Phospholipase C. Journal of Biological Chemistry. 287(2). 1436–1447. 26 indexed citations
19.
Katz, Ben. (2009). Drosophila Photoreceptors and Signaling Mechanisms. Frontiers in Cellular Neuroscience. 3. 2–2. 104 indexed citations
20.
Parnas, Moshe, Ben Katz, Shaya Lev, et al.. (2009). Membrane Lipid Modulations Remove Divalent Open Channel Block from TRP-Like and NMDA Channels. Journal of Neuroscience. 29(8). 2371–2383. 48 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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