Daniel Kuebler

801 citations
25 papers · 609 · h-index 12

Impact in

Papers in

Daniel Kuebler

24 papers receiving 576 citations

Peers

Daniel Kuebler
Comparison fields: 5 of 92
  • Aging 39
  • Cellular and Molecular Neuroscience 219
  • Cell Biology 64
  • Molecular Biology 199
  • Epidemiology 84
Replace Keith A. Maggert with:
Keith A. Maggert United States
Jennifer I. Koop United States
Raúl Fernández‐González Spain
Maria Eugenia Teves United States
Hiromi Fukuda Japan
Uirá Souto Melo Germany
Jocelyn Plassais United States
Wei Luan China
Amanda H. Chan United States
Catherine Patrat France
Daniel Kuebler relative to Keith A. Maggert United States Keith A. Maggert's profile →
Citations per field
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Keith A. Maggert · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Kuebler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Kuebler Line = papers co-authored together Daniel Kuebler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000100
2 200281
3 200176
4 199747
5 201942
6 199538
7 200238
8 201832
9 200724
10 202118
11 200016
12 201414
13 201512
14 201811
15 201211
16 201710
17 20199
18 20098
19 20227
20 19976

About Daniel Kuebler

Daniel Kuebler is a scholar working on Cellular and Molecular Neuroscience, Epidemiology, Infectious Diseases, Genetics and Biomaterials, having authored 25 papers that have together received 609 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (8 papers), Insect Resistance and Genetics (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), SARS-CoV-2 detection and testing (2 papers), Substance Abuse Treatment and Outcomes (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Insect and Arachnid Ecology and Behavior (2 papers). The work is most often cited by research in Aging (39 citations), Cellular and Molecular Neuroscience (219 citations), Cell Biology (64 citations), Molecular Biology (199 citations) and Epidemiology (84 citations). Daniel Kuebler has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Mark A. Tanouye, Haiguang Zhang, Xiaoyun Ren, Elaine Reynolds, Dominique Hausser, Andrew G. Chambers, Michael Scarpone, Susanne Kobbe, John Coleman and Jonathan Luke Heeney. Their work appears in journals such as Addiction, Brain Research, Journal of Visualized Experiments, Journal of Neurophysiology and Genetics.

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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