Daniel G. S. Capelluto
- Cell Biology top 5%
- Cellular transport and secretion 17
- Endocrine and Autonomic Systems top 10%
- Molecular Biology top 10%
- Lipid Membrane Structure and Behavior 7
- Cancer-related gene regulation 4
- Wnt/β-catenin signaling in development and cancer 4
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity 4
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- Calcium signaling and nucleotide metabolism 6
- Lysosomal Storage Disorders Research 5
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- Cell Adhesion Molecules Research 5
- Co-authors
- Carla V. FinkielsteinMichael OverduinTatiana G. KutateladzeShiv D. KaleBrett M. TylerBiao GuIsabelle FudalEmily R. Feldman
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Daniel G. S. Capelluto
50 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 106
- Cell Biology 387
- Endocrine and Autonomic Systems 78
- Molecular Biology 789
- Plant Science 396
- Aging 17
Countries citing papers authored by Daniel G. S. Capelluto
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
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
The 25 scholars most cited alongside Daniel G. S. Capelluto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 8 | |
| 7 | 2017 | 13 | |
| 8 | 2016 | 4 | |
| 9 | 2016 | 57 | |
| 10 | 2016 | 3 | |
| 11 | 2015 | 24 | |
| 12 | 2013 | 43 | |
| 13 | 2013 | 1 | |
| 14 | 2012 | 55 | |
| 15 | 2012 | 15 | |
| 16 | 2012 | 1 | |
| 17 | 2011 | 13 | |
| 18 | 2006 | 53 | |
| 19 | 2002 | 156 | |
| 20 | 1999 | 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), Calcium signaling and nucleotide metabolism (6 papers), Lysosomal Storage Disorders Research (5 papers), Cell Adhesion Molecules Research (5 papers), Plant-Microbe Interactions and Immunity (4 papers), Cancer-related gene regulation (4 papers) and Wnt/β-catenin signaling in development and cancer (4 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.