Dávid Ernszt

430 total citations
18 papers, 292 citations indexed

About

Dávid Ernszt is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dávid Ernszt has authored 18 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Immunology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dávid Ernszt's work include Lipid Membrane Structure and Behavior (2 papers), Immune Cell Function and Interaction (2 papers) and Ion Channels and Receptors (2 papers). Dávid Ernszt is often cited by papers focused on Lipid Membrane Structure and Behavior (2 papers), Immune Cell Function and Interaction (2 papers) and Ion Channels and Receptors (2 papers). Dávid Ernszt collaborates with scholars based in Hungary, United Kingdom and Japan. Dávid Ernszt's co-authors include Krisztián Kvell, Judit E. Pongrácz, Pèter Németh, Tamás Kovács, István M. Ábrahám, Klaudia Barabás, Maja Payrits, Éva Szőke, Kata Csekő and Gergely Berta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Dávid Ernszt

17 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dávid Ernszt Hungary 11 81 58 54 33 32 18 292
Yuichiro Munakata Japan 8 205 2.5× 32 0.6× 72 1.3× 24 0.7× 17 0.5× 15 438
Qi Geng China 11 255 3.1× 43 0.7× 140 2.6× 28 0.8× 14 0.4× 22 564
Katharina Kern Germany 9 136 1.7× 69 1.2× 47 0.9× 12 0.4× 12 0.4× 20 309
Wanjun Lu China 9 92 1.1× 24 0.4× 38 0.7× 8 0.2× 71 2.2× 22 423
Verónica Carbajal Mexico 12 209 2.6× 27 0.5× 104 1.9× 50 1.5× 114 3.6× 24 470
Péter Horváth Hungary 15 190 2.3× 49 0.8× 197 3.6× 16 0.5× 63 2.0× 48 529
Philippe Lhôte Switzerland 9 239 3.0× 20 0.3× 50 0.9× 17 0.5× 18 0.6× 12 339
Jingjing Qiu China 9 197 2.4× 23 0.4× 36 0.7× 9 0.3× 22 0.7× 31 462

Countries citing papers authored by Dávid Ernszt

Since Specialization
Citations

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

Fields of papers citing papers by Dávid Ernszt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dávid Ernszt

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

All Works

18 of 18 papers shown
1.
Ábrahám, István M., Klaudia Barabás, Dávid Ernszt, et al.. (2023). Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements. Frontiers in Neuroinformatics. 17. 1005936–1005936.
2.
Török, Bibiána, et al.. (2022). Estradiol and Estrogen-like Alternative Therapies in Use: The Importance of the Selective and Non-Classical Actions. Biomedicines. 10(4). 861–861. 27 indexed citations
3.
Barabás, Klaudia, Julianna Kobolák, Tamás Kovács, et al.. (2021). Live-Cell Imaging of Single Neurotrophin Receptor Molecules on Human Neurons in Alzheimer’s Disease. International Journal of Molecular Sciences. 22(24). 13260–13260. 3 indexed citations
4.
Barabás, Klaudia, Dávid Ernszt, Tamás Kovács, et al.. (2021). Single-Molecule Imaging Reveals Rapid Estradiol Action on the Surface Movement of AMPA Receptors in Live Neurons. Frontiers in Cell and Developmental Biology. 9. 3 indexed citations
5.
Payrits, Maja, Éva Borbély, Dávid Ernszt, et al.. (2020). Genetic deletion of TRPA1 receptor attenuates amyloid beta- 1-42 (Aβ1-42)-induced neurotoxicity in the mouse basal forebrain in vivo. Mechanisms of Ageing and Development. 189. 111268–111268. 12 indexed citations
6.
Ernszt, Dávid, et al.. (2019). Transgenic Exosomes for Thymus Regeneration. Frontiers in Immunology. 10. 862–862. 22 indexed citations
7.
Vas, Virág, Gyöngyi Kudlik, Dávid Ernszt, et al.. (2019). Analysis of Tks4 Knockout Mice Suggests a Role for Tks4 in Adipose Tissue Homeostasis in the Context of Beigeing. Cells. 8(8). 831–831. 8 indexed citations
8.
Ernszt, Dávid, Attila Pap, Péter Bai, et al.. (2019). “Beige” Cross Talk Between the Immune System and Metabolism. Frontiers in Endocrinology. 10. 369–369. 2 indexed citations
9.
Barabás, Klaudia, et al.. (2018). Rapid non-classical effects of steroids on the membrane receptor dynamics and downstream signaling in neurons. Hormones and Behavior. 104. 183–191. 12 indexed citations
10.
Ernszt, Dávid, et al.. (2018). Distinct immune- and defense-related molecular fingerprints in sepatated coelomocyte subsets of Eisenia andrei earthworms. SHILAP Revista de lepidopterología. 11 indexed citations
11.
Ernszt, Dávid, Zoltán Kellermayer, Attila Pap, et al.. (2017). PPARgamma Deficiency Counteracts Thymic Senescence. Frontiers in Immunology. 8. 1515–1515. 12 indexed citations
12.
Pap, Ramóna, Gergely Berta, Dávid Ernszt, et al.. (2017). Glucocorticoid hormone treatment enhances the cytokine production of regulatory T cells by upregulation of Foxp3 expression. Immunobiology. 223(4-5). 422–431. 41 indexed citations
13.
Payrits, Maja, Éva Sághy, Kata Csekő, et al.. (2017). Estradiol Sensitizes the Transient Receptor Potential Vanilloid 1 Receptor in Pain Responses. Endocrinology. 158(10). 3249–3258. 51 indexed citations
14.
Hoffmann, Orsolya Ivett, et al.. (2016). Monitoring of Venus transgenic cell migration during pregnancy in non-transgenic rabbits. Transgenic Research. 26(2). 291–299. 1 indexed citations
15.
Kudlik, Gyöngyi, Dávid Ernszt, Krisztián Kvell, et al.. (2016). The scaffold protein Tks4 is required for the differentiation of mesenchymal stromal cells (MSCs) into adipogenic and osteogenic lineages. Scientific Reports. 6(1). 34280–34280. 19 indexed citations
16.
Engelmann, Péter, Yuya Hayashi, Dávid Ernszt, et al.. (2016). Phenotypic and functional characterization of earthworm coelomocyte subsets: Linking light scatter-based cell typing and imaging of the sorted populations. Developmental & Comparative Immunology. 65. 41–52. 30 indexed citations
17.
Kellermayer, Zoltán, Martina Mihalj, Béla Kajtár, et al.. (2015). Isolation and Characterization of a Murine Spontaneous High-Grade Follicular Lymphoma with Restricted In Vivo Spreading – a Model for Lymphatic Metastasis Via the Mesentery. Pathology & Oncology Research. 22(2). 421–430. 4 indexed citations
18.
Kovács, Tamás, Veronika Csöngei, Dávid Ernszt, et al.. (2014). Alteration in the Wnt microenvironment directly regulates molecular events leading to pulmonary senescence. Aging Cell. 13(5). 838–849. 34 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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