Daniel G. S. Capelluto

1.9k citations
52 papers · 1.4k indexed · h-index 19
Topics
Cellular transport and secretion (17 papers)Lipid Membrane Structure and Behavior (7 papers)Calcium signaling and nucleotide metabolism (6 papers)

In The Last Decade

Daniel G. S. Capelluto

50 papers receiving 1.4k citations

Peers

Daniel G. S. Capelluto
Comparison fields: 5 of 106
  • Molecular Biology 789
  • Plant Science 396
  • Cell Biology 387
  • Immunology 153
  • Physiology 143
Replace Byung Ouk Park with:
Byung Ouk Park South Korea
Holger M. Strauss Germany
Christopher K. Rodesch United States
Cyril Boyault France
Timo Sachsenheimer Germany
Duncan Browman France
Dallan Young Canada
Katherine Bowers United Kingdom
Christopher Loewen Canada
James A. Dias United States
Daniel G. S. Capelluto relative to Byung Ouk Park South Korea Byung Ouk Park's profile →
Citations per field
00.5×1.6×
Byung Ouk Park · 1×
Citations per year

Countries citing papers authored by Daniel G. S. Capelluto

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. S. Capelluto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel G. S. Capelluto

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. S. Capelluto. A scholar is included among the top collaborators of Daniel G. S. Capelluto 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 G. S. Capelluto. Daniel G. S. Capelluto 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
#WorkIndexed citations
1 1
2 0
3 3
4 1
5 2
6 8
7 13
8 4
9 57
10 3
11 24
12 43
13 1
14 55
15 15
16 1
17 13
18 53
19 156
20 14

About Daniel G. S. Capelluto

Daniel G. S. Capelluto is a scholar working on Cell Biology, Physiology and Immunology and Allergy, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (17 papers), Lipid Membrane Structure and Behavior (7 papers) and Calcium signaling and nucleotide metabolism (6 papers). The work is most often cited by research in Cell Biology (387 citations), Endocrine and Autonomic Systems (78 citations) and Molecular Biology (789 citations). Daniel G. S. Capelluto has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Carla V. Finkielstein, Michael Overduin, Tatiana G. Kutateladze, Shiv D. Kale, Brett M. Tyler, Biao Gu, Isabelle Fudal, Emily R. Feldman, Amanda Rumore and Felipe D. Arredondo. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.

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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