Daniel L. Rocca

531 citations
9 papers · 423 · h-index 9

Impact in

Papers in

    • Cellular transport and secretion 4
    • Cellular Mechanics and Interactions 2
    • Plant Pathogens and Fungal Diseases 1
    • Ubiquitin and proteasome pathways 3
    • Pluripotent Stem Cells Research 1

Daniel L. Rocca

9 papers receiving 421 citations

Peers

Daniel L. Rocca
Comparison fields: 5 of 61
  • Cell Biology 156
  • Cellular and Molecular Neuroscience 170
  • Molecular Biology 268
  • Developmental Neuroscience 15
  • Biophysics 19
Replace Lukas Schwintzer with:
Lukas Schwintzer Germany
Atsuko Honda Japan
Wolfgang Wagner Germany
Anja Konietzny Germany
Maximilian AH Jakobs United Kingdom
Nicole Fuerst United States
Joel Wellbourne-Wood Switzerland
Erika Doná Germany
Vincent Th. G. Schoonderwoert Netherlands
Bianca Vaida Germany
Daniel L. Rocca relative to Lukas Schwintzer Germany Lukas Schwintzer's profile →
Citations per field
00.5×2.9×
Lukas Schwintzer · 1×
Citations per year

Countries citing papers authored by Daniel L. Rocca

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Rocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel L. Rocca, 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 L. Rocca Line = papers co-authored together Daniel L. Rocca links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2008179
2 201373
3 201348
4 201739
5 201838
6 201116
7 201111
8 201411
9 20138

About Daniel L. Rocca

Daniel L. Rocca is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Developmental Neuroscience, having authored 9 papers that have together received 423 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Cellular transport and secretion (4 papers), Ubiquitin and proteasome pathways (3 papers), Cellular Mechanics and Interactions (2 papers), Neuroscience and Neural Engineering (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Cell Biology (156 citations), Cellular and Molecular Neuroscience (170 citations), Molecular Biology (268 citations), Developmental Neuroscience (15 citations) and Biophysics (19 citations). Daniel L. Rocca has collaborated with scholars based in United Kingdom, Italy and South Korea. Frequent co-authors include Jonathan G. Hanley, Stéphane Martin, Emma Jenkins, Jeremy M. Henley, Kevin A. Wilkinson, Tim J. Craig, Fatima Girach, Nadia Jaafari, Anna Antoniou and Jack R. Mellor. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cell Reports, Journal of Berry Research, ACS Synthetic Biology and Neuron.

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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