Daniel Lyngholm

450 total citations
7 papers, 283 citations indexed

About

Daniel Lyngholm is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Daniel Lyngholm has authored 7 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 1 paper in Molecular Biology. Recurrent topics in Daniel Lyngholm's work include Neural dynamics and brain function (4 papers), Photoreceptor and optogenetics research (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Daniel Lyngholm is often cited by papers focused on Neural dynamics and brain function (4 papers), Photoreceptor and optogenetics research (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Daniel Lyngholm collaborates with scholars based in United Kingdom, United States and Denmark. Daniel Lyngholm's co-authors include Simon J. B. Butt, André Marques–Smith, Ian D. Thompson, David C. Sterratt, David Willshaw, Zoltán Molnár, Anna Hoerder‐Suabedissen, Anna-Kristin Kaufmann, Michael C. Wilson and Esther B. E. Becker and has published in prestigious journals such as Nature Communications, Neuron and eLife.

In The Last Decade

Daniel Lyngholm

7 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Lyngholm United Kingdom 6 185 158 103 28 24 7 283
Claire E. Warner Australia 6 112 0.6× 193 1.2× 102 1.0× 24 0.9× 32 1.3× 6 316
DeLaine D. Larsen United States 8 202 1.1× 132 0.8× 174 1.7× 31 1.1× 29 1.2× 10 383
Sally A. Marik United States 7 217 1.2× 194 1.2× 99 1.0× 29 1.0× 60 2.5× 8 351
Joshua J. Royall United States 3 188 1.0× 103 0.7× 233 2.3× 30 1.1× 39 1.6× 3 353
Kalina Burnat Poland 12 158 0.9× 115 0.7× 132 1.3× 21 0.8× 39 1.6× 24 306
A. K. Harauzov Russia 3 204 1.1× 145 0.9× 112 1.1× 34 1.2× 39 1.6× 14 309
Grégory Gauvain France 9 274 1.5× 138 0.9× 249 2.4× 17 0.6× 30 1.3× 11 423
Joyce Bonaccorsi Italy 5 119 0.6× 168 1.1× 81 0.8× 25 0.9× 41 1.7× 9 258
Emily K. Dilger United States 8 227 1.2× 123 0.8× 172 1.7× 17 0.6× 30 1.3× 9 293
Hong‐Ping Xu United States 8 356 1.9× 132 0.8× 291 2.8× 19 0.7× 42 1.8× 11 461

Countries citing papers authored by Daniel Lyngholm

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lyngholm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Lyngholm

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

All Works

7 of 7 papers shown
1.
Kjærstad, Hanne Lie, Sebastian Simonsen, Merete Nordentoft, et al.. (2024). Optimizing differential diagnostics and identifying transdiagnostic treatment targets using virtual reality. European Neuropsychopharmacology. 92. 1–9. 1 indexed citations
2.
Marques–Smith, André, Paul G. Anastasiades, Daniel Lyngholm, et al.. (2021). Non-canonical role for Lpar1-EGFP subplate neurons in early postnatal mouse somatosensory cortex. eLife. 10. 11 indexed citations
3.
Lyngholm, Daniel & Shuzo Sakata. (2019). Cre-Dependent Optogenetic Transgenic Mice Without Early Age-Related Hearing Loss. Frontiers in Aging Neuroscience. 11. 29–29. 6 indexed citations
4.
Martínez‐Garay, Isabel, Zoe G. Holloway, Daniel Lyngholm, et al.. (2016). Normal radial migration and lamination are maintained in dyslexia-susceptibility candidate gene homolog Kiaa0319 knockout mice. Brain Structure and Function. 222(3). 1367–1384. 13 indexed citations
5.
Anastasiades, Paul G., André Marques–Smith, Daniel Lyngholm, et al.. (2016). GABAergic interneurons form transient layer-specific circuits in early postnatal neocortex. Nature Communications. 7(1). 10584–10584. 62 indexed citations
6.
Marques–Smith, André, Daniel Lyngholm, Anna-Kristin Kaufmann, et al.. (2016). A Transient Translaminar GABAergic Interneuron Circuit Connects Thalamocortical Recipient Layers in Neonatal Somatosensory Cortex. Neuron. 89(3). 536–549. 113 indexed citations
7.
Sterratt, David C., Daniel Lyngholm, David Willshaw, & Ian D. Thompson. (2013). Standard Anatomical and Visual Space for the Mouse Retina: Computational Reconstruction and Transformation of Flattened Retinae with the Retistruct Package. PLoS Computational Biology. 9(2). e1002921–e1002921. 77 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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