Daniel Kuebler

718 total citations
22 papers, 526 citations indexed

About

Daniel Kuebler is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Epidemiology. According to data from OpenAlex, Daniel Kuebler has authored 22 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Daniel Kuebler's work include Neurobiology and Insect Physiology Research (8 papers), Mesenchymal stem cell research (3 papers) and Substance Abuse Treatment and Outcomes (3 papers). Daniel Kuebler is often cited by papers focused on Neurobiology and Insect Physiology Research (8 papers), Mesenchymal stem cell research (3 papers) and Substance Abuse Treatment and Outcomes (3 papers). Daniel Kuebler collaborates with scholars based in United States, Switzerland and Italy. Daniel Kuebler's co-authors include Mark A. Tanouye, Haiguang Zhang, Venigalla B. Rao, Xiaoyun Ren, Elaine Reynolds, Dominique Hausser, Andrew G. Chambers, Michael Scarpone, Jean‐Pierre Gervasoni and John Coleman and has published in prestigious journals such as Journal of Molecular Biology, Journal of Neurophysiology and Genetics.

In The Last Decade

Daniel Kuebler

21 papers receiving 507 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 Kuebler United States 12 211 210 89 62 59 22 526
Helen Weavers United Kingdom 11 125 0.6× 312 1.5× 36 0.4× 172 2.8× 26 0.4× 26 760
Yashoda Sharma United States 10 188 0.9× 267 1.3× 48 0.5× 44 0.7× 20 0.3× 17 735
Jesse Ingels United States 11 37 0.2× 242 1.2× 46 0.5× 31 0.5× 12 0.2× 14 566
Tomonari Awaya Japan 17 60 0.3× 691 3.3× 77 0.9× 42 0.7× 16 0.3× 55 1.1k
David J. Mellert United States 9 157 0.7× 195 0.9× 42 0.5× 8 0.1× 9 0.2× 9 629
Melissa M. Martin United States 11 46 0.2× 565 2.7× 78 0.9× 44 0.7× 10 0.2× 14 821
Jennifer I. Koop United States 13 65 0.3× 150 0.7× 229 2.6× 25 0.4× 6 0.1× 33 735
Jennifer R. Knapp United States 11 48 0.2× 291 1.4× 18 0.2× 46 0.7× 9 0.2× 21 500
Marcelo Criscuolo Argentina 14 43 0.2× 328 1.6× 85 1.0× 9 0.1× 26 0.4× 27 783

Countries citing papers authored by Daniel Kuebler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kuebler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kuebler

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kuebler. A scholar is included among the top collaborators of Daniel Kuebler 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 Kuebler. Daniel Kuebler 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.
Li, Jonathan Z., Zhen Cui, Qing Sun, et al.. (2024). Rapid detection of SARS-CoV-2 variants by molecular-clamping technology-based RT-qPCR. Microbiology Spectrum. 12(11). e0424823–e0424823. 2 indexed citations
2.
Kuebler, Daniel, et al.. (2022). Short-Term Efficacy of Using a Novel Low-Volume Bone Marrow Aspiration Technique to Treat Knee Osteoarthritis: A Retrospective Cohort Study. Stem Cells International. 2022. 1–7. 6 indexed citations
3.
Zhang, Dayu, Daniel Kuebler, Ying Yang, et al.. (2021). A new testing platform using fingerstick blood for quantitative antibody response evaluation after SARS-CoV-2 vaccination. Emerging Microbes & Infections. 11(1). 250–259. 2 indexed citations
4.
Chambers, Andrew G., et al.. (2019). The addition of a lipid-rich dietary supplement eliminates seizure-like activity and paralysis in the drosophila bang sensitive mutants. Epilepsy Research. 155. 106153–106153. 8 indexed citations
5.
Scarpone, Michael, Daniel Kuebler, Andrew G. Chambers, et al.. (2019). Isolation of clinically relevant concentrations of bone marrow mesenchymal stem cells without centrifugation. Journal of Translational Medicine. 17(1). 10–10. 33 indexed citations
7.
Burke, Brian, et al.. (2014). A Low-cost Method for Analyzing Seizure-like Activity and Movement in <em>Drosophila</em>. Journal of Visualized Experiments. e51460–e51460. 13 indexed citations
8.
Burke, Brian, et al.. (2014). A Low-cost Method for Analyzing Seizure-like Activity and Movement in <em>Drosophila</em>. Journal of Visualized Experiments.
9.
Evans, Leah, et al.. (2012). Genetic and pharmacological manipulations that alter metabolism suppress seizure-like activity in Drosophila. Brain Research. 1496. 94–103. 11 indexed citations
10.
Burke, Brian, et al.. (2009). Sensitivity to seizure-like activity in Drosophila following acute hypoxia and hypercapnia. Brain Research. 1316. 120–128. 8 indexed citations
11.
Kuebler, Daniel. (2007). Understanding the Recent Expansion of Swiss Family Policy: An Idea-Centred Approach. Journal of Social Policy. 36(2). 217–237. 22 indexed citations
12.
Kuebler, Daniel & Mark A. Tanouye. (2002). Anticonvulsant valproate reduces seizure-susceptibility in mutant Drosophila. Brain Research. 958(1). 36–42. 33 indexed citations
13.
Zhang, Haiguang, et al.. (2002). The DrosophilaslamdanceGene: A Mutation in an Aminopeptidase Can Cause Seizure, Paralysis and Neuronal Failure. Genetics. 162(3). 1283–1299. 74 indexed citations
14.
Kuebler, Daniel, Haiguang Zhang, Xiaoyun Ren, & Mark A. Tanouye. (2001). Genetic Suppression of Seizure Susceptibility inDrosophila. Journal of Neurophysiology. 86(3). 1211–1225. 69 indexed citations
15.
Kuebler, Daniel, Dominique Hausser, & Jean‐Pierre Gervasoni. (2000). The characteristics of 'new users' of cocaine and heroin unknown to treatment agencies: results from the Swiss Hidden Population Study. Addiction. 95(10). 1561–1571. 15 indexed citations
16.
Kuebler, Daniel & Mark A. Tanouye. (2000). Modifications of Seizure Susceptibility inDrosophila. Journal of Neurophysiology. 83(2). 998–1009. 87 indexed citations
17.
Kuebler, Daniel & Venigalla B. Rao. (1998). Functional analysis of the DNA-packaging/terminase protein gp17 from bacteriophage T4 1 1Edited by M. Gottesman. Journal of Molecular Biology. 281(5). 803–814. 41 indexed citations
18.
Kuebler, Daniel, et al.. (1997). The Swiss Hidden Population Study: practical and methodological aspects of data collection by privileged access interviewers. Addiction. 92(3). 325–334. 45 indexed citations
19.
Kuebler, Daniel & Dominique Hausser. (1997). The Swiss Hidden Population Study: practical and methodological aspects of data collection by privileged access interviewers. Addiction. 92(3). 325–334. 6 indexed citations
20.
Baskin, Gary B., E. D. Roberts, Daniel Kuebler, et al.. (1995). Squamous Epithelial Proliferative Lesions Associated with Rhesus Epstein-Barr Virus in Simian Immunodeficiency Virus-Infected Rhesus Monkeys. The Journal of Infectious Diseases. 172(2). 535–539. 25 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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