Laura Antonucci

1.5k total citations
10 papers, 1.0k citations indexed

About

Laura Antonucci is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Laura Antonucci has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Laura Antonucci's work include Autophagy in Disease and Therapy (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Pancreatic function and diabetes (3 papers). Laura Antonucci is often cited by papers focused on Autophagy in Disease and Therapy (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Pancreatic function and diabetes (3 papers). Laura Antonucci collaborates with scholars based in United States, Austria and China. Laura Antonucci's co-authors include Michael Karin, Feng He, Jelena Todoric, Johan Bourghardt Fagman, Ilya Gukovsky, Mark H. Ellisman, Ju Youn Kim, Mason Mackey, María T. Díaz‐Meco and Jorge Moscat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Cancer Cell.

In The Last Decade

Laura Antonucci

10 papers receiving 997 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura Antonucci United States	9	550	254	207	181	159	10	1.0k
Lu Gao China	20	599 1.1×	171 0.7×	183 0.9×	241 1.3×	191 1.2×	63	1.2k
Yi‐Qun Zhan China	18	748 1.4×	196 0.8×	143 0.7×	176 1.0×	117 0.7×	51	1.2k
Chang‐Hui Ge China	19	795 1.4×	191 0.8×	131 0.6×	193 1.1×	118 0.7×	54	1.2k
Xiaolong Lin China	20	567 1.0×	212 0.8×	175 0.8×	135 0.7×	83 0.5×	28	988
Jiannan Qiu China	20	694 1.3×	404 1.6×	158 0.8×	166 0.9×	166 1.0×	47	1.3k
Hanyong Sun China	13	413 0.8×	356 1.4×	203 1.0×	165 0.9×	210 1.3×	21	1.0k
Chang Yeob Han South Korea	21	611 1.1×	414 1.6×	148 0.7×	77 0.4×	174 1.1×	35	1.2k
Liping Meng China	19	560 1.0×	131 0.5×	104 0.5×	192 1.1×	149 0.9×	51	1.1k
Silvia Speca France	19	509 0.9×	265 1.0×	329 1.6×	290 1.6×	232 1.5×	45	1.5k

Countries citing papers authored by Laura Antonucci

Since Specialization

Citations

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

Fields of papers citing papers by Laura Antonucci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Antonucci. 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 Laura Antonucci. The network helps show where Laura Antonucci may publish in the future.

Co-authorship network of co-authors of Laura Antonucci

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Antonucci. A scholar is included among the top collaborators of Laura Antonucci 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 Laura Antonucci. Laura Antonucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Antonucci, Laura & Michael Karin. (2024). The Past and Future of Inflammation as a Target to Cancer Prevention. Cancer Prevention Research. 17(4). 141–155. 9 indexed citations

Su, Hua, Fei Yang, Rao Fu, et al.. (2021). Cancer cells escape autophagy inhibition via NRF2-induced macropinocytosis. Cancer Cell. 39(5). 678–693.e11. 134 indexed citations

Sánchez‐López, Elsa, Emanuela M. Ghia, Laura Antonucci, et al.. (2020). NF-κB-p62-NRF2 survival signaling is associated with high ROR1 expression in chronic lymphocytic leukemia. Cell Death and Differentiation. 27(7). 2206–2216. 37 indexed citations

He, Feng, Laura Antonucci, Shinichiro Yamachika, et al.. (2020). NRF2 activates growth factor genes and downstream AKT signaling to induce mouse and human hepatomegaly. Journal of Hepatology. 72(6). 1182–1195. 75 indexed citations

He, Feng, Laura Antonucci, & Michael Karin. (2020). NRF2 as a regulator of cell metabolism and inflammation in cancer. Carcinogenesis. 41(4). 405–416. 230 indexed citations

Sánchez‐López, Elsa, Zhenyu Zhong, Alexandra Stubelius, et al.. (2019). Choline Uptake and Metabolism Modulate Macrophage IL-1β and IL-18 Production. Cell Metabolism. 29(6). 1350–1362.e7. 174 indexed citations

Gukovskaya, Anna S., Fred S. Gorelick, Guy E. Groblewski, et al.. (2019). Recent Insights Into the Pathogenic Mechanism of Pancreatitis. Pancreas. 48(4). 459–470. 40 indexed citations

Sánchez‐López, Elsa, Zhenyu Zhong, Alexandra Stubelius, et al.. (2019). Choline uptake and metabolism modulate macrophage immunity. The Journal of Immunology. 202(1_Supplement). 125.1–125.1. 1 indexed citations

Todoric, Jelena, Laura Antonucci, Giuseppe Di, et al.. (2017). Stress-Activated NRF2-MDM2 Cascade Controls Neoplastic Progression in Pancreas. Cancer Cell. 32(6). 824–839.e8. 109 indexed citations

10.

Antonucci, Laura, Johan Bourghardt Fagman, Ju Youn Kim, et al.. (2015). Basal autophagy maintains pancreatic acinar cell homeostasis and protein synthesis and prevents ER stress. Proceedings of the National Academy of Sciences. 112(45). E6166–74. 193 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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