Daniel Zwilling

1.5k total citations
8 papers, 688 citations indexed

About

Daniel Zwilling is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Daniel Zwilling has authored 8 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Daniel Zwilling's work include Cellular transport and secretion (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Daniel Zwilling is often cited by papers focused on Cellular transport and secretion (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Daniel Zwilling collaborates with scholars based in United States, Germany and Canada. Daniel Zwilling's co-authors include Reinhard Jahn, Yaisa Andrews‐Zwilling, Nga Bien‐Ly, Yadong Huang, Seo Yeon Yoon, Silvio O. Rizzoli, Aubrey Bernardo, Ligong Chen, Gang Li and Qin Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Daniel Zwilling

8 papers receiving 686 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Zwilling United States	7	326	288	225	219	115	8	688
Cynthia Bleiwas United States	12	233 0.7×	136 0.5×	346 1.5×	141 0.6×	111 1.0×	17	786
Anna Karpova Germany	17	602 1.8×	554 1.9×	139 0.6×	213 1.0×	92 0.8×	35	997
Francesco Longo United States	16	362 1.1×	267 0.9×	151 0.7×	123 0.6×	100 0.9×	29	828
Akio Sekigawa Japan	13	220 0.7×	264 0.9×	161 0.7×	48 0.2×	155 1.3×	18	747
Paul Nguyen United States	5	280 0.9×	408 1.4×	453 2.0×	121 0.6×	162 1.4×	7	827
Deepa V. Venkitaramani United States	14	491 1.5×	470 1.6×	295 1.3×	116 0.5×	159 1.4×	20	896
Susan Goebel-Goody United States	9	463 1.4×	453 1.6×	143 0.6×	70 0.3×	141 1.2×	9	771
Lucas Matt United States	16	576 1.8×	528 1.8×	123 0.5×	78 0.4×	69 0.6×	23	877
Adam J. Harrington United States	12	349 1.1×	139 0.5×	134 0.6×	88 0.4×	55 0.5×	14	755

Countries citing papers authored by Daniel Zwilling

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Zwilling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Zwilling

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

All Works

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8 of 8 papers shown

Grauer, Steven M., Raul Sanoja, Dominic Poulin, et al.. (2020). Antinociceptive effects of potent, selective and brain penetrant muscarinic M4 positive allosteric modulators in rodent pain models. Brain Research. 1737. 146814–146814. 2 indexed citations

Both, Matt De, Ashley L. Siniard, James H. Notwell, et al.. (2018). A Guide to Single-Cell Transcriptomics in Adult Rodent Brain: The Medium Spiny Neuron Transcriptome Revisited. Frontiers in Cellular Neuroscience. 12. 159–159. 34 indexed citations

Andrews‐Zwilling, Yaisa, Anna K. Gillespie, Alexxai V. Kravitz, et al.. (2012). Hilar GABAergic Interneuron Activity Controls Spatial Learning and Memory Retrieval. PLoS ONE. 7(7). e40555–e40555. 78 indexed citations

Andrews‐Zwilling, Yaisa, Nga Bien‐Ly, Qin Xu, et al.. (2010). Apolipoprotein E4 Causes Age- and Tau-Dependent Impairment of GABAergic Interneurons, Leading to Learning and Memory Deficits in Mice. Journal of Neuroscience. 30(41). 13707–13717. 257 indexed citations

Giorgini, Flaviano, Thomas Möller, Wanda Kwan, et al.. (2007). Histone Deacetylase Inhibition Modulates Kynurenine Pathway Activation in Yeast, Microglia, and Mice Expressing a Mutant Huntingtin Fragment. Journal of Biological Chemistry. 283(12). 7390–7400. 80 indexed citations

Zwilling, Daniel, et al.. (2006). Homotypic fusion of early endosomes: SNAREs do not determine fusion specificity. Proceedings of the National Academy of Sciences. 103(8). 2701–2706. 113 indexed citations

Zwilling, Daniel, et al.. (2006). Early endosomal SNAREs form a structurally conserved SNARE complex and fuse liposomes with multiple topologies. The EMBO Journal. 26(1). 9–18. 66 indexed citations

Rizzoli, Silvio O., Ioanna Bethani, Daniel Zwilling, et al.. (2006). Evidence for Early Endosome‐like Fusion of Recently Endocytosed Synaptic Vesicles. Traffic. 7(9). 1163–1176. 58 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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