David Eriksson

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

About

David Eriksson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, David Eriksson has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 14 papers in Cellular and Molecular Neuroscience and 13 papers in Molecular Biology. Recurrent topics in David Eriksson's work include Neural dynamics and brain function (21 papers), Visual perception and processing mechanisms (10 papers) and Photoreceptor and optogenetics research (6 papers). David Eriksson is often cited by papers focused on Neural dynamics and brain function (21 papers), Visual perception and processing mechanisms (10 papers) and Photoreceptor and optogenetics research (6 papers). David Eriksson collaborates with scholars based in Sweden, Germany and Brazil. David Eriksson's co-authors include Torgny Stigbrand, Lennart Johansson, Katrine Riklund, Per E. Roland, Per‐Olov Löfroth, Bashir Ahmed, Akitoshi Hanazawaᎂᎂ, Tamás Tompa, Kerstin Schmidt and Ilka Diester and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

David Eriksson

42 papers receiving 1.2k citations

Hit Papers

Radiation-induced cell death mechanisms 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Eriksson Sweden 15 391 345 267 265 225 43 1.2k
Katrina H. Worthy Australia 17 513 1.3× 421 1.2× 120 0.4× 176 0.7× 347 1.5× 32 2.1k
Benedicte Descamps Belgium 24 566 1.4× 137 0.4× 509 1.9× 299 1.1× 82 0.4× 89 1.8k
Soma Sengupta United States 20 583 1.5× 177 0.5× 76 0.3× 212 0.8× 135 0.6× 78 1.6k
Maura Castagna Italy 22 342 0.9× 114 0.3× 197 0.7× 241 0.9× 356 1.6× 95 1.4k
Nobusada Shinoura Japan 27 1.1k 2.7× 272 0.8× 606 2.3× 484 1.8× 156 0.7× 111 2.5k
Warren Heston United States 12 344 0.9× 100 0.3× 157 0.6× 270 1.0× 240 1.1× 15 1.1k
Antje Willuweit Germany 26 624 1.6× 52 0.2× 265 1.0× 126 0.5× 183 0.8× 74 1.7k
Mathias Buttmann Germany 26 506 1.3× 82 0.2× 117 0.4× 371 1.4× 210 0.9× 50 1.7k
Julia Reinhardt Germany 19 417 1.1× 257 0.7× 148 0.6× 209 0.8× 27 0.1× 49 1.3k
Alison Bienemann United Kingdom 24 693 1.8× 130 0.4× 100 0.4× 85 0.3× 388 1.7× 42 1.4k

Countries citing papers authored by David Eriksson

Since Specialization
Citations

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

Fields of papers citing papers by David Eriksson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Eriksson

This figure shows the co-authorship network connecting the top 25 collaborators of David Eriksson. A scholar is included among the top collaborators of David Eriksson 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 David Eriksson. David Eriksson 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.
Eriksson, David, et al.. (2022). Multichannel optogenetics combined with laminar recordings for ultra-controlled neuronal interrogation. Nature Communications. 13(1). 985–985. 12 indexed citations
2.
Russo, Eleonora, David Eriksson, Artur Schneider, et al.. (2022). Conserved structures of neural activity in sensorimotor cortex of freely moving rats allow cross-subject decoding. Nature Communications. 13(1). 7420–7420. 6 indexed citations
3.
Epple, Robert, Zoë Jäckel, David Eriksson, et al.. (2017). A Functional Gradient in the Rodent Prefrontal Cortex Supports Behavioral Inhibition. Current Biology. 27(4). 549–555. 78 indexed citations
4.
Eriksson, David. (2016). Estimating Fast Neural Input Using Anatomical and Functional Connectivity. Frontiers in Neural Circuits. 10. 99–99. 1 indexed citations
5.
Eriksson, David, et al.. (2016). Selective interhemispheric circuits account for a cardinal bias in spontaneous activity within early visual areas. NeuroImage. 146. 971–982. 5 indexed citations
6.
Eriksson, David, et al.. (2015). Input and Output Gain Modulation by the Lateral Interhemispheric Network in Early Visual Cortex. Journal of Neuroscience. 35(20). 7682–7694. 11 indexed citations
7.
Stigbrand, Torgny, et al.. (2014). Genome wide expression analysis of radiation-induced DNA damage responses in isogenic HCT116 p53+/+ and HCT116 p53−/− colorectal carcinoma cell lines. International Journal of Radiation Biology. 91(1). 99–111. 8 indexed citations
8.
Eriksson, David, et al.. (2013). An Updated Midline Rule: Visual Callosal Connections Anticipate Shape and Motion in Ongoing Activity across the Hemispheres. Journal of Neuroscience. 33(46). 18036–18046. 9 indexed citations
9.
Stigbrand, Torgny, et al.. (2012). Gene expression profiling in MOLT-4 cells during gamma-radiation-induced apoptosis. Tumor Biology. 33(3). 689–700. 14 indexed citations
10.
Eriksson, David, et al.. (2012). Multiplicative Mechanism of Lateral Interactions Revealed by Controlling Interhemispheric Input. Cerebral Cortex. 23(4). 900–912. 21 indexed citations
11.
Eriksson, David, Raúl Vicente, & Kerstin Schmidt. (2011). A Linear Model of Phase-Dependent Power Correlations in Neuronal Oscillations. Frontiers in Computational Neuroscience. 5. 34–34. 6 indexed citations
13.
Eriksson, David, Jeanette Blomberg, Per‐Olov Löfroth, et al.. (2008). Iodine-131 Induces Mitotic Catastrophes and Activates Apoptotic Pathways in HeLa Hep2 Cells. Cancer Biotherapy and Radiopharmaceuticals. 23(5). 541–550. 19 indexed citations
14.
Ahmed, Bashir, et al.. (2008). Cortical Dynamics Subserving Visual Apparent Motion. Cerebral Cortex. 18(12). 2796–2810. 44 indexed citations
15.
Eriksson, David, et al.. (2007). Tumor Radioimmunolocalization in Nude Mice by Mono- and Divalent- Single-Chain Fv Antiplacental Alkaline Phosphatase Antibodies. Cancer Biotherapy and Radiopharmaceuticals. 22(1). 64–72. 6 indexed citations
16.
17.
Sandström, Per, et al.. (2006). Optimizing the Generation of Recombinant Single-Chain Antibodies Against Placental Alkaline Phosphatase. Hybridoma. 25(4). 181–192. 14 indexed citations
18.
Erlandsson, Ann, David Eriksson, Lennart Johansson, et al.. (2005). In vivo clearing of idiotypic antibodies with antiidiotypic antibodies and their derivatives. Molecular Immunology. 43(6). 599–606. 5 indexed citations
19.
Erlandsson, Ann, et al.. (2002). Idiotypic-anti-idiotypic complexes and their in vivo metabolism. Cancer. 94(S4). 1306–1313. 26 indexed citations
20.
Eriksson, David, et al.. (2002). The combination of external beam radiotherapy and experimental radioimmunotargeting with a monoclonal anticytokeratin antibody. Cancer. 94(S4). 1314–1319. 7 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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