Daniel Grasso
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Epidemiology top 5%
- Autophagy in Disease and Therapy
Papers in
- Epidemiology 19
- Autophagy in Disease and Therapy 18
- Co-authors
- María I. Vaccaro (21 shared papers)Juan Iovanna (19 shared papers)Alejandro Ropolo (16 shared papers)María Noé Garcia (14 shared papers)Raúl Urrutia (10 shared papers)Claudio González (3 shared papers)Andrea Lo Ré (3 shared papers)Gwen Lomberk (9 shared papers)
- Journals
- Frontiers in Oncology (3 papers)Pancreatology (2 papers)Gastroenterology (2 papers)Biochemical and Biophysical Research Communications (2 papers)Frontiers in Cell and Developmental Biology (2 papers)
- Partner nations
- ArgentinaFranceUnited States
In The Last Decade
Daniel Grasso
45 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 92
- Physiology 105
- Epidemiology 559
- Cell Biology 255
- Cancer Research 145
- Geriatrics and Gerontology 25
Countries citing papers authored by Daniel Grasso
This map shows the geographic impact of Daniel Grasso'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 Grasso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Grasso more than expected).
Fields of papers citing papers by Daniel Grasso
This network shows the impact of papers produced by Daniel Grasso. 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 Grasso. The network helps show where Daniel Grasso may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Grasso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 186 | |
| 2 | 2010 | 169 | |
| 3 | 2017 | 161 | |
| 4 | 2012 | 66 | |
| 5 | 2021 | 59 | |
| 6 | 2008 | 47 | |
| 7 | 2014 | 45 | |
| 8 | 2018 | 45 | |
| 9 | 2018 | 39 | |
| 10 | 2013 | 38 | |
| 11 | 2014 | 37 | |
| 12 | 2003 | 36 | |
| 13 | 2013 | 36 | |
| 14 | 2015 | 28 | |
| 15 | 2008 | 27 | |
| 16 | 2000 | 27 | |
| 17 | 2021 | 26 | |
| 18 | 2022 | 25 | |
| 19 | 2012 | 24 | |
| 20 | 2012 | 22 |
About Daniel Grasso
Daniel Grasso is a scholar working on Epidemiology, Molecular Biology, Surgery, Oncology and Cell Biology, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (18 papers), Pancreatitis Pathology and Treatment (7 papers), Pancreatic function and diabetes (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Calcium signaling and nucleotide metabolism (4 papers), Phagocytosis and Immune Regulation (4 papers) and Biofuel production and bioconversion (3 papers). The work is most often cited by research in Physiology (105 citations), Epidemiology (559 citations), Cell Biology (255 citations), Cancer Research (145 citations) and Geriatrics and Gerontology (25 citations). Daniel Grasso has collaborated with scholars based in Argentina, France and United States. Frequent co-authors include María I. Vaccaro, Juan Iovanna, Alejandro Ropolo, María Noé Garcia, Raúl Urrutia, Claudio González, Andrea Lo Ré, Gwen Lomberk, Patrice Codogno and Étienne Morel. Their work appears in journals such as Frontiers in Oncology, Pancreatology, Gastroenterology, Biochemical and Biophysical Research Communications and Frontiers in Cell and Developmental Biology.
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.