Baron Chanda

4.3k total citations
75 papers, 3.1k citations indexed

About

Baron Chanda is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Baron Chanda has authored 75 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 44 papers in Cellular and Molecular Neuroscience and 25 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Baron Chanda's work include Ion channel regulation and function (55 papers), Neuroscience and Neuropharmacology Research (27 papers) and Cardiac electrophysiology and arrhythmias (24 papers). Baron Chanda is often cited by papers focused on Ion channel regulation and function (55 papers), Neuroscience and Neuropharmacology Research (27 papers) and Cardiac electrophysiology and arrhythmias (24 papers). Baron Chanda collaborates with scholars based in United States, India and United Kingdom. Baron Chanda's co-authors include Francisco Bezanilla, Sandipan Chowdhury, Marcel P Goldschen-Ohm, Benoı̂t Roux, Rikard Blunck, Fabiana V. Campos, Manoel Arcísio-Miranda, Jian Payandeh, Christopher A. Ahern and Frank Bosmans and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Baron Chanda

74 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baron Chanda United States 31 2.6k 1.6k 959 208 192 75 3.1k
Vishwanath Jogini United States 20 2.6k 1.0× 1.3k 0.8× 986 1.0× 295 1.4× 74 0.4× 31 3.0k
Osvaldo Álvarez Chile 31 2.8k 1.1× 1.6k 1.0× 1.0k 1.1× 226 1.1× 88 0.5× 69 3.6k
Christoph Fahlke Germany 42 3.4k 1.3× 2.5k 1.5× 994 1.0× 46 0.2× 195 1.0× 117 4.7k
Lise Heginbotham United States 18 2.9k 1.1× 1.4k 0.9× 1.0k 1.1× 217 1.0× 71 0.4× 21 3.2k
Carlos G. Vanoye United States 34 2.7k 1.0× 1.4k 0.9× 1.4k 1.4× 60 0.3× 159 0.8× 93 3.7k
Antonius M.J. VanDongen United States 33 2.5k 0.9× 1.9k 1.2× 736 0.8× 69 0.3× 263 1.4× 62 3.3k
Christopher A. Ahern United States 34 2.7k 1.0× 1.3k 0.8× 1.1k 1.1× 101 0.5× 123 0.6× 106 3.1k
Klaus Benndorf Germany 34 2.7k 1.0× 1.3k 0.8× 1.6k 1.7× 65 0.3× 99 0.5× 129 3.8k
Alessio Accardi United States 31 2.9k 1.1× 1.1k 0.7× 585 0.6× 75 0.4× 360 1.9× 58 3.4k
Peter Hess United States 18 5.0k 1.9× 3.6k 2.2× 1.8k 1.9× 152 0.7× 167 0.9× 25 5.8k

Countries citing papers authored by Baron Chanda

Since Specialization
Citations

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

Fields of papers citing papers by Baron Chanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baron Chanda

This figure shows the co-authorship network connecting the top 25 collaborators of Baron Chanda. A scholar is included among the top collaborators of Baron Chanda 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 Baron Chanda. Baron Chanda 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.
Cowgill, John, et al.. (2024). Mapping the contribution of the C-linker domain to gating polarity in CNBD channels. Biophysical Journal. 123(14). 2176–2184. 1 indexed citations
2.
Huang, Jian, et al.. (2024). Structural basis for hyperpolarization-dependent opening of human HCN1 channel. Nature Communications. 15(1). 5216–5216. 11 indexed citations
3.
Cowgill, John & Baron Chanda. (2023). Charge-voltage curves of Shaker potassium channel are not hysteretic at steady state. The Journal of General Physiology. 155(3). 5 indexed citations
4.
Chanda, Baron, et al.. (2023). Strategies for Overcoming the Single-Molecule Concentration Barrier. ACS Measurement Science Au. 3(4). 239–257. 13 indexed citations
5.
Chowdhury, Sandipan, et al.. (2021). cAMP binding to closed pacemaker ion channels is non-cooperative. Nature. 595(7868). 606–610. 21 indexed citations
6.
Carrasquel-Ursulaez, Willy, et al.. (2020). Re-evaluation of the mechanism of cytotoxicity of dialkylated lariat ether compounds. RSC Advances. 10(66). 40391–40394. 4 indexed citations
7.
Chowdhury, Sandipan, et al.. (2020). Activation of the archaeal ion channel MthK is exquisitely regulated by temperature. eLife. 9. 12 indexed citations
8.
Goldschen-Ohm, Marcel P, et al.. (2019). A Divisive Segmentation and Clustering Scheme for Accelerated and Improved Single-Molecule Time Series Idealization (DiSC). Biophysical Journal. 116(3). 138a–138a. 1 indexed citations
9.
Kasimova, Marina A., et al.. (2019). Helix breaking transition in the S4 of HCN channel is critical for hyperpolarization-dependent gating. eLife. 8. 43 indexed citations
10.
Cowgill, John, et al.. (2018). Bipolar switching by HCN voltage sensor underlies hyperpolarization activation. Proceedings of the National Academy of Sciences. 116(2). 670–678. 28 indexed citations
11.
Fernández-Mariño, Ana I., et al.. (2018). Gating interaction maps reveal a noncanonical electromechanical coupling mode in the Shaker K+ channel. Nature Structural & Molecular Biology. 25(4). 320–326. 55 indexed citations
12.
Bao, Huan, Debasis Das, Nicholas A. Courtney, et al.. (2018). Dynamics and number of trans-SNARE complexes determine nascent fusion pore properties. Nature. 554(7691). 260–263. 95 indexed citations
13.
Chowdhury, Sandipan, Brian W. Jarecki, & Baron Chanda. (2014). A Molecular Framework for Temperature-Dependent Gating of Ion Channels. Cell. 158(5). 1148–1158. 88 indexed citations
14.
Goldschen-Ohm, Marcel P & Baron Chanda. (2014). Probing Gating Mechanisms of Sodium Channels Using Pore Blockers. Handbook of experimental pharmacology. 183–201. 6 indexed citations
15.
Jarecki, Brian W., et al.. (2013). Function of Shaker potassium channels produced by cell-free translation upon injection into Xenopus oocytes. Scientific Reports. 3(1). 1040–1040. 19 indexed citations
16.
Muroi, Yukiko, Manoel Arcísio-Miranda, Sandipan Chowdhury, & Baron Chanda. (2010). Molecular determinants of coupling between the domain III voltage sensor and pore of a sodium channel. Nature Structural & Molecular Biology. 17(2). 230–237. 47 indexed citations
17.
Capes, Deborah L., Manoel Arcísio-Miranda, Francisco Bezanilla, & Baron Chanda. (2009). Measuring The Contribution Of S4 Charges On Gating Currents Of A Sodium Channel. Biophysical Journal. 96(3). 252a–252a. 1 indexed citations
18.
Campos, Fabiana V., Baron Chanda, Paulo S.L. Beirão, & Francisco Bezanilla. (2007). β-Scorpion Toxin Modifies Gating Transitions in All Four Voltage Sensors of the Sodium Channel. The Journal of General Physiology. 130(3). 257–268. 57 indexed citations
19.
Blunck, Rikard, Baron Chanda, & Francisco Bezanilla. (2005). Nano to Micro — Fluorescence Measurements of Electric Fields in Molecules and Genetically Specified Neurons. The Journal of Membrane Biology. 208(2). 91–102. 18 indexed citations
20.
Dahan, David, Mohammed Dibas, E. James Petersson, et al.. (2004). A fluorophore attached to nicotinic acetylcholine receptor βM2 detects productive binding of agonist to the αδ site. Proceedings of the National Academy of Sciences. 101(27). 10195–10200. 80 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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