Neela K. Codadu

706 total citations
17 papers, 446 citations indexed

About

Neela K. Codadu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Neela K. Codadu has authored 17 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 11 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Neela K. Codadu's work include Neuroscience and Neuropharmacology Research (14 papers), Neural dynamics and brain function (9 papers) and Photoreceptor and optogenetics research (5 papers). Neela K. Codadu is often cited by papers focused on Neuroscience and Neuropharmacology Research (14 papers), Neural dynamics and brain function (9 papers) and Photoreceptor and optogenetics research (5 papers). Neela K. Codadu collaborates with scholars based in United Kingdom, United States and Australia. Neela K. Codadu's co-authors include Andrew J. Trevelyan, R. Ryley Parrish, H. Rheinallt Parri, Tiina Pirttimäki, Claudia Racca, Edward M. Merricks, Karl Deisseroth, Mark O. Cunningham, Eric J. Hill and Kelly T. Dineley and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Brain.

In The Last Decade

Neela K. Codadu

17 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neela K. Codadu United Kingdom 11 369 181 122 68 62 17 446
Guillaume Etter Canada 9 314 0.9× 223 1.2× 80 0.7× 38 0.6× 54 0.9× 13 445
Anna Cavaccini Italy 11 211 0.6× 74 0.4× 113 0.9× 36 0.5× 48 0.8× 15 320
Matthew R. Hudson Australia 14 221 0.6× 125 0.7× 128 1.0× 97 1.4× 43 0.7× 29 463
Thomas Bessaïh France 10 267 0.7× 147 0.8× 157 1.3× 29 0.4× 20 0.3× 15 348
Laura Ceolin United Kingdom 11 270 0.7× 116 0.6× 193 1.6× 68 1.0× 22 0.4× 12 418
Xiaomin Zhang Austria 9 291 0.8× 233 1.3× 86 0.7× 23 0.3× 47 0.8× 14 435
Michele Arigoni Switzerland 9 519 1.4× 76 0.4× 305 2.5× 49 0.7× 59 1.0× 14 680
Matteo Bernabucci United States 10 180 0.5× 112 0.6× 228 1.9× 24 0.4× 97 1.6× 16 486
Pratyush Suryavanshi United States 8 182 0.5× 63 0.3× 119 1.0× 71 1.0× 35 0.6× 13 321
Patricia Seja Finland 7 329 0.9× 79 0.4× 239 2.0× 97 1.4× 53 0.9× 8 478

Countries citing papers authored by Neela K. Codadu

Since Specialization
Citations

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

Fields of papers citing papers by Neela K. Codadu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neela K. Codadu. 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 Neela K. Codadu. The network helps show where Neela K. Codadu may publish in the future.

Co-authorship network of co-authors of Neela K. Codadu

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

All Works

17 of 17 papers shown
1.
Labastida‐Ramírez, Alejandro, et al.. (2025). State-of-the-art preclinical techniques to study the impact of spreading depolarizations in awake rodents. The Journal of Headache and Pain. 26(1). 188–188. 1 indexed citations
2.
Kopach, Olga, Kaiyu Zheng, Neela K. Codadu, et al.. (2025). Astrocyte Kir4.1 expression level territorially controls excitatory transmission in the brain. Cell Reports. 44(2). 115299–115299. 7 indexed citations
3.
McMeekin, Laura J., Neela K. Codadu, Simon Cockell, et al.. (2024). RNA Sequencing Demonstrates Ex Vivo Neocortical Transcriptomic Changes Induced by Epileptiform Activity in Male and Female Mice. eNeuro. 11(5). ENEURO.0520–23.2024. 1 indexed citations
4.
Parrish, R. Ryley, Faye McLeod, Neela K. Codadu, et al.. (2022). Indirect Effects of Halorhodopsin Activation: Potassium Redistribution, Nonspecific Inhibition, and Spreading Depolarization. Journal of Neuroscience. 43(5). 685–692. 11 indexed citations
5.
Codadu, Neela K., et al.. (2022). Xenon LFP Analysis Platform Is a Novel Graphical User Interface for Analysis of Local Field Potential From Large-Scale MEA Recordings. Frontiers in Neuroscience. 16. 904931–904931. 3 indexed citations
6.
Trevelyan, Andrew J., et al.. (2022). Synergistic Positive Feedback Mechanisms Underlying Seizure Initiation. Epiliepsy currents. 23(1). 38–43. 13 indexed citations
7.
Martinez‐Gonzalez, Cristina, Thomas C. Watson, Neela K. Codadu, et al.. (2021). Medial septal GABAergic neurons reduce seizure duration upon optogenetic closed-loop stimulation. Brain. 144(5). 1576–1589. 35 indexed citations
8.
Codadu, Neela K., R. Ryley Parrish, & Andrew J. Trevelyan. (2019). Region‐specific differences and areal interactions underlying transitions in epileptiform activity. The Journal of Physiology. 597(7). 2079–2096. 23 indexed citations
9.
Parrish, R. Ryley, et al.. (2019). Feedforward inhibition ahead of ictal wavefronts is provided by both parvalbumin‐ and somatostatin‐expressing interneurons. The Journal of Physiology. 597(8). 2297–2314. 34 indexed citations
10.
Burman, Richard J., M. Berg, Neela K. Codadu, et al.. (2019). Excitatory GABAergic signalling is associated with benzodiazepine resistance in status epilepticus. Brain. 142(11). 3482–3501. 68 indexed citations
11.
Codadu, Neela K., et al.. (2019). Divergent paths to seizure‐like events. Physiological Reports. 7(19). e14226–e14226. 24 indexed citations
12.
Parrish, R. Ryley, John P. Grady, Neela K. Codadu, Claudia Racca, & Andrew J. Trevelyan. (2018). Graphical user interface for simultaneous profiling of activity patterns in multiple neuronal subclasses. Data in Brief. 20. 226–233. 1 indexed citations
13.
Parrish, R. Ryley, John P. Grady, Neela K. Codadu, Andrew J. Trevelyan, & Claudia Racca. (2018). Simultaneous profiling of activity patterns in multiple neuronal subclasses. Journal of Neuroscience Methods. 303. 16–29. 5 indexed citations
14.
Parrish, R. Ryley, Neela K. Codadu, Claudia Racca, & Andrew J. Trevelyan. (2018). Pyramidal cell activity levels affect the polarity of activity-induced gene transcription changes in interneurons. Journal of Neurophysiology. 120(5). 2358–2367. 10 indexed citations
15.
Pirttimäki, Tiina, et al.. (2017). Astrocyte-Mediated Neuronal Synchronization Properties Revealed by False Gliotransmitter Release. Journal of Neuroscience. 37(41). 9859–9870. 44 indexed citations
16.
Merricks, Edward M., Neela K. Codadu, Mark O. Cunningham, et al.. (2015). The Contribution of Raised Intraneuronal Chloride to Epileptic Network Activity. Journal of Neuroscience. 35(20). 7715–7726. 86 indexed citations
17.
Pirttimäki, Tiina, Neela K. Codadu, David A. Nagel, et al.. (2013). α7 Nicotinic Receptor-Mediated Astrocytic Gliotransmitter Release: Aβ Effects in a Preclinical Alzheimer’s Mouse Model. PLoS ONE. 8(11). e81828–e81828. 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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