Lida Kanari

2.8k total citations
17 papers, 309 citations indexed

About

Lida Kanari is a scholar working on Biophysics, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lida Kanari has authored 17 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biophysics, 7 papers in Cognitive Neuroscience and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lida Kanari's work include Cell Image Analysis Techniques (9 papers), Neural dynamics and brain function (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Lida Kanari is often cited by papers focused on Cell Image Analysis Techniques (9 papers), Neural dynamics and brain function (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Lida Kanari collaborates with scholars based in Switzerland, United States and Israel. Lida Kanari's co-authors include Kathryn Hess, Henry Markram, Martina Scolamiero, Julian C. Shillcock, Ran Levi, Paweł Dłotko, Huibert D. Mansvelder, Christiaan P. J. de Kock, Yair Deitcher and Guy Antoine Atenekeng Kahou and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Lida Kanari

16 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lida Kanari Switzerland	8	109	105	90	77	63	17	309
Sridevi Polavaram United States	6	114 1.0×	240 2.3×	95 1.1×	144 1.9×	45 0.7×	9	398
Alessandro Motta Germany	6	155 1.4×	83 0.8×	137 1.5×	57 0.7×	20 0.3×	6	338
Ruggero Scorcioni United States	8	261 2.4×	240 2.3×	262 2.9×	141 1.8×	57 0.9×	12	549
Arlo Sheridan United States	8	69 0.6×	86 0.8×	112 1.2×	138 1.8×	23 0.4×	9	436
Marcel Beining Germany	8	137 1.3×	65 0.6×	168 1.9×	71 0.9×	31 0.5×	9	335
Sahil Loomba Germany	3	132 1.2×	67 0.6×	117 1.3×	52 0.7×	19 0.3×	3	289
Ana B. Porto-Pazos Spain	11	98 0.9×	13 0.1×	112 1.2×	108 1.4×	35 0.6×	19	349
Leonard Kuan United States	10	118 1.1×	95 0.9×	81 0.9×	119 1.5×	33 0.5×	13	384
Srikanth Ramaswamy Switzerland	14	423 3.9×	73 0.7×	350 3.9×	146 1.9×	40 0.6×	25	636
Pierre Baudot France	9	445 4.1×	26 0.2×	327 3.6×	100 1.3×	19 0.3×	20	610

Countries citing papers authored by Lida Kanari

Since Specialization

Citations

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

Fields of papers citing papers by Lida Kanari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lida Kanari

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

All Works

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17 of 17 papers shown

Kanari, Lida, Vishal Sood, Alexis Arnaudon, et al.. (2026). A Detailed Model for Understanding the Human Neocortex. bioRxiv (Cold Spring Harbor Laboratory).

Petkantchin, Rémy, et al.. (2025). Computational Generation of Long-range Axonal Morphologies. Neuroinformatics. 23(1). 3–3. 1 indexed citations

Petkantchin, Rémy, et al.. (2025). Generating brain-wide connectome using synthetic axonal morphologies. Nature Communications. 16(1). 6611–6611. 1 indexed citations

Coggan, Jay S., et al.. (2025). Breakdown and repair of metabolism in the aging brain. SHILAP Revista de lepidopterología. 3. 7 indexed citations

Kanari, Lida, Ying Shi, Alexis Arnaudon, et al.. (2025). Of mice and men: Dendritic architecture differentiates human from mouse neuronal networks. iScience. 28(7). 112928–112928. 3 indexed citations

Curry, Justin, et al.. (2023). From trees to barcodes and back again II: Combinatorial and probabilistic aspects of a topological inverse problem. Computational Geometry. 116. 102031–102031. 1 indexed citations

Arnaudon, Alexis, Maria Reva, Mickaël Zbili, et al.. (2023). Controlling morpho-electrophysiological variability of neurons with detailed biophysical models. iScience. 26(11). 108222–108222. 5 indexed citations

Colombo, Gloria, Ryan John Cubero, Lida Kanari, et al.. (2022). A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes. Nature Neuroscience. 25(10). 1379–1393. 36 indexed citations

Kanari, Lida, Athanassia Chalimourda, Alexis Arnaudon, et al.. (2022). Computational synthesis of cortical dendritic morphologies. Cell Reports. 39(1). 110586–110586. 13 indexed citations

10.

Keller, Daniel, Lida Kanari, Alexis Arnaudon, et al.. (2021). Digital Reconstruction of the Neuro-Glia-Vascular Architecture. Cerebral Cortex. 31(12). 5686–5703. 35 indexed citations

11.

Kanari, Lida, et al.. (2020). From Trees to Barcodes and Back Again: Theoretical and Statistical Perspectives. Algorithms. 13(12). 335–335. 10 indexed citations

12.

Kanari, Lida, Athanassia Chalimourda, Werner Van Geit, et al.. (2020). Computational Synthesis of Cortical Dendritic Morphologies. SSRN Electronic Journal. 1 indexed citations

13.

Kanari, Lida, Srikanth Ramaswamy, Ying Shi, et al.. (2019). Objective Morphological Classification of Neocortical Pyramidal Cells. Cerebral Cortex. 29(4). 1719–1735. 43 indexed citations

14.

Deitcher, Yair, Guy Eyal, Lida Kanari, et al.. (2017). Comprehensive Morpho-Electrotonic Analysis Shows 2 Distinct Classes of L2 and L3 Pyramidal Neurons in Human Temporal Cortex. Cerebral Cortex. 27(11). 5398–5414. 53 indexed citations

15.

Kanari, Lida, Paweł Dłotko, Martina Scolamiero, et al.. (2017). A Topological Representation of Branching Neuronal Morphologies. Neuroinformatics. 16(1). 3–13. 95 indexed citations

16.

Kanari, Lida, et al.. (2016). Framework for efficient synthesis of spatially embedded morphologies. Physical review. E. 94(2). 23315–23315. 4 indexed citations

17.

Kanari, Lida, et al.. (2015). In situ synthesis and simulation of polydisperse amphiphilic membranes. International Journal of Advances in Engineering Sciences and Applied Mathematics. 8(2). 126–133. 1 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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