Hayder Amin

1.7k total citations · 1 hit paper
40 papers, 1.2k citations indexed

About

Hayder Amin is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Hayder Amin has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cellular and Molecular Neuroscience, 25 papers in Cognitive Neuroscience and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Hayder Amin's work include Neuroscience and Neural Engineering (29 papers), Neural dynamics and brain function (24 papers) and Advanced Memory and Neural Computing (14 papers). Hayder Amin is often cited by papers focused on Neuroscience and Neural Engineering (29 papers), Neural dynamics and brain function (24 papers) and Advanced Memory and Neural Computing (14 papers). Hayder Amin collaborates with scholars based in Italy, Germany and United Kingdom. Hayder Amin's co-authors include Luca Berdondini, Alessandro Maccione, Katrin I. Willig, Markus Dier, Helmut Grubmüller, Geert van den Bogaart, Karsten Meyenberg, Reinhard Jahn, Stefan W. Hell and Ulf Diederichsen and has published in prestigious journals such as Nature, Journal of Neuroscience and Nano Letters.

In The Last Decade

Hayder Amin

37 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Membrane protein sequestering by ionic protein–lipid interactions

2011 477 citations Geert van den Bogaart, Karsten Meyenberg et al. Nature profile →

Peers

Hayder Amin

CMN

MB

CN

BE

CB

Laxmi Kumar Parajuli Japan

Kazuaki Homma United States

Armin Lambacher Germany

David Ogden France

Sergio Leal‐Ortiz United States

Adrián Rodríguez‐Contreras United States

Debanjan Goswami United States

Hugo Hämmerle Germany

И.В. Мухина Russia

Benjamin M. Gaub United States

Laxmi Kumar Parajuli Japan

Hayder Amin

709 ×1.1

CMN

498 ×0.9

MB

191 ×0.6

CN

399 ×1.4

BE

84 ×0.3

CB

Citations per year, relative to Hayder Amin Hayder Amin (= 1×) peers Laxmi Kumar Parajuli

Countries citing papers authored by Hayder Amin

Since Specialization

Citations

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

Fields of papers citing papers by Hayder Amin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hayder Amin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Garthe, Alexander, et al.. (2025). Beyond nature, nurture, and chance: Individual agency shapes divergent learning biographies and brain connectome. Science Advances. 11(2). eads7297–eads7297. 1 indexed citations

2.

Amin, Hayder, et al.. (2025). High-Density MEA Reveals Distinct Sharp-Wave Ripple Network Dynamics Across Induction Methods in the Hippocampus. PubMed. 2025. 1–4.

3.

Amin, Hayder, et al.. (2025). A Computational Framework for Learning and Memory: Network Motif Evolution During LTP-Induced Plasticity. PubMed. 2025. 1–4.

4.

Larsson, Ludvig, et al.. (2025). MEA‐seqX: High‐Resolution Profiling of Large‐Scale Electrophysiological and Transcriptional Network Dynamics. Advanced Science. 12(20). e2412373–e2412373. 1 indexed citations

5.

Amin, Hayder, et al.. (2024). DENOISING: Dynamic enhancement and noise overcoming in multimodal neural observations via high-density CMOS-based biosensors. Frontiers in Bioengineering and Biotechnology. 12. 1390108–1390108. 2 indexed citations

6.

Amin, Hayder, et al.. (2024). Recording and Analyzing Multimodal Large-Scale Neuronal Ensemble Dynamics on CMOS-Integrated High-Density Microelectrode Array. Journal of Visualized Experiments. 2 indexed citations

7.

Amin, Hayder. (2024). Balancing memory in sleep: firing barrages as a circuit breaker for reactivation. Signal Transduction and Targeted Therapy. 9(1). 328–328. 2 indexed citations

8.

Rossi, Lívia Maria Gonçalves, et al.. (2023). Recording Network-based Synaptic Transmission and LTP in the Hippocampal Network on a Large-scale Biosensor. 7. 1–4. 2 indexed citations

9.

Kempermann, Gerd, et al.. (2023). High-resolution CMOS-based biosensor for assessing hippocampal circuit dynamics in experience-dependent plasticity. Biosensors and Bioelectronics. 237. 115471–115471. 15 indexed citations

10.

Kempermann, Gerd, et al.. (2023). Bottom-up Neurogenic-inspired Computational Model. 13. 1–4. 1 indexed citations

11.

Calegari, Federico, et al.. (2021). Implementation of biohybrid olfactory bulb on a high-density CMOS-chip to reveal large-scale spatiotemporal circuit information. Biosensors and Bioelectronics. 198. 113834–113834. 20 indexed citations

12.

Nieus, Thierry, Valeria d’Andrea, Hayder Amin, et al.. (2018). State-dependent representation of stimulus-evoked activity in high-density recordings of neural cultures. Scientific Reports. 8(1). 5578–5578. 15 indexed citations

13.

Malerba, Mario, Hayder Amin, Gian Nicola Angotzi, Alessandro Maccione, & Luca Berdondini. (2018). Fabrication of Multielectrode Arrays for Neurobiology Applications. Methods in molecular biology. 1771. 147–157. 5 indexed citations

14.

Marinaro, Federica, Matteo Jacopo Marzi, Hayder Amin, et al.. (2017). MicroRNA‐independent functions of DGCR8 are essential for neocortical development and TBR1 expression. EMBO Reports. 18(4). 603–618. 35 indexed citations

15.

Amin, Hayder, Federica Marinaro, Davide De Pietri Tonelli, & Luca Berdondini. (2017). Developmental excitatory-to-inhibitory GABA-polarity switch is disrupted in 22q11.2 deletion syndrome: a potential target for clinical therapeutics. Scientific Reports. 7(1). 15752–15752. 49 indexed citations

16.

Amin, Hayder, et al.. (2017). High-resolution bioelectrical imaging of Aβ-induced network dysfunction on CMOS-MEAs for neurotoxicity and rescue studies. Scientific Reports. 7(1). 2460–2460. 37 indexed citations

17.

Maccione, Alessandro, Mauro Gandolfo, Hayder Amin, et al.. (2015). Microelectronics, bioinformatics and neurocomputation for massive neuronal recordings in brain circuits with large scale multielectrode array probes. Brain Research Bulletin. 119(Pt B). 118–126. 22 indexed citations

18.

Amin, Hayder, et al.. (2015). Sloppiness in Spontaneously Active Neuronal Networks. Journal of Neuroscience. 35(22). 8480–8492. 35 indexed citations

19.

Simi, Alessandro, Hayder Amin, Alessandro Maccione, Thierry Nieus, & Luca Berdondini. (2014). Integration of microstructured scaffolds, neurons, and multielectrode arrays. Progress in brain research. 214. 415–442. 7 indexed citations

20.

Bogaart, Geert van den, Karsten Meyenberg, Herre Jelger Risselada, et al.. (2011). Membrane protein sequestering by ionic protein–lipid interactions. Nature. 479(7374). 552–555. 477 indexed citations breakdown →

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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