Daniel Grasso

4.1k total citations
45 papers, 1.2k citations indexed

About

Daniel Grasso is a scholar working on Epidemiology, Molecular Biology and Surgery. According to data from OpenAlex, Daniel Grasso has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 18 papers in Molecular Biology and 15 papers in Surgery. Recurrent topics in Daniel Grasso's work include Autophagy in Disease and Therapy (18 papers), Pancreatitis Pathology and Treatment (8 papers) and Pancreatic and Hepatic Oncology Research (8 papers). Daniel Grasso is often cited by papers focused on Autophagy in Disease and Therapy (18 papers), Pancreatitis Pathology and Treatment (8 papers) and Pancreatic and Hepatic Oncology Research (8 papers). Daniel Grasso collaborates with scholars based in Argentina, France and United States. Daniel Grasso's co-authors include María I. Vaccaro, Juan Iovanna, Alejandro Ropolo, Raúl Urrutia, María Noé Garcia, Andrea Lo Ré, Claudio González, Gwen Lomberk, Anna Chiara Nascimbeni and Étienne Morel and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Grasso

43 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Grasso Argentina 19 539 529 251 228 176 45 1.2k
Nils Becker United States 13 467 0.9× 526 1.0× 148 0.6× 126 0.6× 128 0.7× 16 1.2k
Tsutomu Tanaka Japan 19 227 0.4× 428 0.8× 214 0.9× 101 0.4× 123 0.7× 36 996
Yong Fu China 14 540 1.0× 893 1.7× 834 3.3× 186 0.8× 183 1.0× 23 1.8k
Ansgar Brüning Germany 24 290 0.5× 793 1.5× 194 0.8× 67 0.3× 326 1.9× 57 1.6k
Adam M. Farkas United States 12 400 0.7× 643 1.2× 82 0.3× 196 0.9× 209 1.2× 23 1.4k
Francesca Demarchi Italy 19 484 0.9× 858 1.6× 260 1.0× 56 0.2× 131 0.7× 27 1.4k
Xiaojuan Wang China 14 326 0.6× 495 0.9× 118 0.5× 64 0.3× 142 0.8× 30 971
Heleen Vreeling‐Sindelárová Netherlands 13 613 1.1× 455 0.9× 227 0.9× 77 0.3× 92 0.5× 15 1.1k
KyeongJin Kim South Korea 20 595 1.1× 525 1.0× 132 0.5× 199 0.9× 114 0.6× 37 1.3k
Kristof Kersse Belgium 10 502 0.9× 745 1.4× 161 0.6× 375 1.6× 86 0.5× 10 1.7k

Countries citing papers authored by Daniel Grasso

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Grasso

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Grasso. A scholar is included among the top collaborators of Daniel Grasso 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 Grasso. Daniel Grasso 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
1.
Santofimia‐Castaño, Patricia, Daniel Grasso, Eduardo Chuluyán, et al.. (2025). KRAS inhibition reverses chemotherapy resistance promoted by therapy-induced senescence-like in pancreatic ductal adenocarcinoma. Translational Oncology. 57. 102421–102421. 1 indexed citations
2.
3.
Paradise, Brooke D., Vladimir G. Gainullin, Luciana L. Almada, et al.. (2023). SUFU promotes GLI activity in a Hedgehog-independent manner in pancreatic cancer. Biochemical Journal. 480(15). 1199–1216. 4 indexed citations
4.
Martins, Waleska K., Kiran Pandey, Ikuko Maejima, et al.. (2021). Autophagy-targeted therapy to modulate age-related diseases: Success, pitfalls, and new directions. SHILAP Revista de lepidopterología. 2. 100033–100033. 11 indexed citations
5.
Vanasco, Virginia, Alejandro Ropolo, Daniel Grasso, et al.. (2021). Mitochondrial Dynamics and VMP1-Related Selective Mitophagy in Experimental Acute Pancreatitis. Frontiers in Cell and Developmental Biology. 9. 640094–640094. 24 indexed citations
6.
Martins, Waleska K., et al.. (2021). Autophagy Regulation and Photodynamic Therapy: Insights to Improve Outcomes of Cancer Treatment. Frontiers in Oncology. 10. 610472–610472. 51 indexed citations
7.
Elizalde, María Mercedes, Ina Sevic, Daniel Grasso, et al.. (2018). HBV subgenotypes F1b and F4 replication induces an incomplete autophagic process in hepatocytes: Role of BCP and preCore mutations. PLoS ONE. 13(5). e0197109–e0197109. 4 indexed citations
8.
9.
Nascimbeni, Anna Chiara, Francesca Giordano, Nicolas Dupont, et al.. (2017). ER –plasma membrane contact sites contribute to autophagosome biogenesis by regulation of local PI 3P synthesis. The EMBO Journal. 36(14). 2018–2033. 157 indexed citations
10.
Grasso, Daniel, Gwen Lomberk, María Inés Molejon, et al.. (2015). Pivotal Role of the Chromatin Protein Nupr1 in Kras-Induced Senescence and Transformation. Scientific Reports. 5(1). 17549–17549. 24 indexed citations
11.
Grasso, Daniel, María Noé Garcia, Tewfik Hamidi, et al.. (2014). Pancreatitis promotes oncogenic KrasG12D-induced pancreatic transformation through activation of Nupr1. Molecular & Cellular Oncology. 1(1). e29913–e29913. 3 indexed citations
12.
Grasso, Daniel & María I. Vaccaro. (2014). Macroautophagy and the Oncogene-Induced Senescence. Frontiers in Endocrinology. 5. 157–157. 10 indexed citations
13.
Grasso, Daniel, María Noé Garcia, Tewfik Hamidi, et al.. (2014). Genetic inactivation of the pancreatitis-inducible gene Nupr1 impairs PanIN formation by modulating KrasG12D-induced senescence. Cell Death and Differentiation. 21(10). 1633–1641. 41 indexed citations
14.
Campos, Eleonora, María José Negro, Sergio González, et al.. (2013). Purification and characterization of a GH43 β-xylosidase from Enterobacter sp. identified and cloned from forest soil bacteria. Microbiological Research. 169(2-3). 213–220. 37 indexed citations
15.
Grasso, Daniel, María Noé Garcia, & Juan Iovanna. (2012). Autophagy in Pancreatic Cancer. International Journal of Cell Biology. 2012. 1–7. 20 indexed citations
16.
Garcia, María Noé, et al.. (2012). Presence of IgG Anti-gp160/120 Antibodies Confers Higher HIV Capture Capacity to Erythrocytes from HIV-Positive Individuals. PLoS ONE. 7(9). e45808–e45808. 2 indexed citations
17.
Grasso, Daniel, Alejandro Ropolo, Andrea Lo Ré, et al.. (2010). Zymophagy, a Novel Selective Autophagy Pathway Mediated by VMP1-USP9x-p62, Prevents Pancreatic Cell Death*. Journal of Biological Chemistry. 286(10). 8308–8324. 149 indexed citations
18.
Ropolo, Alejandro, Richard Tomasini, Daniel Grasso, et al.. (2004). Cloning of IP15, a pancreatitis-induced gene whose expression inhibits cell growth. Biochemical and Biophysical Research Communications. 319(3). 1001–1009. 10 indexed citations
19.
20.
Vaccaro, María I., et al.. (2000). Pancreatic Acinar Cells Submitted to Stress Activate TNF-α Gene Expression. Biochemical and Biophysical Research Communications. 268(2). 485–490. 26 indexed citations

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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