Daniel J. Cipriano

2.1k total citations · 1 hit paper
22 papers, 1.6k citations indexed

About

Daniel J. Cipriano is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel J. Cipriano has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Cell Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel J. Cipriano's work include ATP Synthase and ATPases Research (11 papers), Mitochondrial Function and Pathology (10 papers) and Cellular transport and secretion (9 papers). Daniel J. Cipriano is often cited by papers focused on ATP Synthase and ATPases Research (11 papers), Mitochondrial Function and Pathology (10 papers) and Cellular transport and secretion (9 papers). Daniel J. Cipriano collaborates with scholars based in United States, Canada and United Kingdom. Daniel J. Cipriano's co-authors include Axel T. Brünger, Michael Forgac, Jiajie Diao, Sandro Vivona, Stanley D. Dunn, Minjoung Kyoung, Thomas C. Südhof, Manu Sharma, Jacqueline Burré and Minglei Zhao and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Daniel J. Cipriano

22 papers receiving 1.5k citations

Hit Papers

Native α-synuclein induces clustering of synaptic-vesicle... 2013 2026 2017 2021 2013 50 100 150 200 250

Peers

Daniel J. Cipriano
Comparison fields: 5 of 97
  • Molecular Biology 1.2k
  • Cell Biology 623
  • Cellular and Molecular Neuroscience 256
  • Neurology 230
  • Physiology 175
Replace Brooke J. Bevis with:
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Elsa Lauwers Belgium
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Jan De Mey Belgium
Takefumi Sone Japan
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Brooke J. Bevis United States View profile →
Citations per field, relative to Daniel J. Cipriano
Daniel J. Cipriano · 1×
Citations per year, relative to Daniel J. Cipriano
Daniel J. Cipriano · 1×

Countries citing papers authored by Daniel J. Cipriano

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Cipriano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Cipriano

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Cipriano. A scholar is included among the top collaborators of Daniel J. Cipriano 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 J. Cipriano. Daniel J. Cipriano 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
# Work Indexed citations
1 5
2 55
3 194
4 42
5 16
6 80
7 47
8 37
9
Native α-synuclein induces clustering of synaptic-vesicle mimics via binding to phospholipids and synaptobrevin-2/VAMP2 breakdown →
276
10 137
11 79
12 126
13 197
14 1
15 30
16 8
17 43
18 67
19 40
20 37

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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