Daniel A. Cunha

4.5k total citations · 1 hit paper
50 papers, 3.6k citations indexed

About

Daniel A. Cunha is a scholar working on Surgery, Cell Biology and Molecular Biology. According to data from OpenAlex, Daniel A. Cunha has authored 50 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Surgery, 20 papers in Cell Biology and 15 papers in Molecular Biology. Recurrent topics in Daniel A. Cunha's work include Pancreatic function and diabetes (34 papers), Endoplasmic Reticulum Stress and Disease (17 papers) and Diabetes and associated disorders (15 papers). Daniel A. Cunha is often cited by papers focused on Pancreatic function and diabetes (34 papers), Endoplasmic Reticulum Stress and Disease (17 papers) and Diabetes and associated disorders (15 papers). Daniel A. Cunha collaborates with scholars based in Belgium, Brazil and Italy. Daniel A. Cunha's co-authors include Décio L. Eizirik, Miriam Cnop, Piero Marchetti, Laurence Ladrière, Mariana Igoillo‐Esteve, Fernanda Ortis, Marco Bugliani, Esteban N. Gurzov, Alessandra K. Cardozo and Fabrice Moore and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Daniel A. Cunha

48 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Initiation and execution of lipotoxic ER stress in pancreatic β-cells

2008 501 citations Daniel A. Cunha, Laurence Ladrière et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel A. Cunha Belgium	32	1.9k	1.3k	1.1k	999	711	50	3.6k
Mariana Igoillo‐Esteve Belgium	27	1.9k 1.0×	1.6k 1.2×	1.3k 1.2×	819 0.8×	740 1.0×	49	3.5k
Jean Buteau Canada	22	1.6k 0.8×	1.8k 1.3×	558 0.5×	278 0.3×	1.2k 1.6×	32	3.3k
Eiji Yamato Japan	32	1.9k 1.0×	2.1k 1.6×	1.3k 1.2×	320 0.3×	903 1.3×	81	4.0k
Laurence Ladrière Belgium	25	2.1k 1.1×	1.2k 0.9×	996 0.9×	1.2k 1.2×	861 1.2×	95	3.6k
Joachim Størling Denmark	29	1.4k 0.7×	1.2k 0.9×	982 0.9×	534 0.5×	736 1.0×	81	3.2k
Danhong Lu United States	30	1.7k 0.9×	1.5k 1.1×	817 0.8×	386 0.4×	624 0.9×	44	3.1k
Fernanda Ortis Belgium	30	2.7k 1.4×	1.4k 1.1×	1.9k 1.7×	1.5k 1.5×	1.0k 1.4×	43	4.7k
Donald K. Scott United States	41	2.2k 1.1×	2.5k 1.9×	1.4k 1.3×	245 0.2×	1.2k 1.7×	98	5.0k
Joanne Rasschaert Belgium	27	1.9k 1.0×	1.1k 0.8×	997 0.9×	717 0.7×	746 1.0×	89	3.3k
Yoshitaka Tamai Japan	26	755 0.4×	2.2k 1.6×	477 0.4×	406 0.4×	311 0.4×	40	3.7k

Countries citing papers authored by Daniel A. Cunha

Since Specialization

Citations

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

Fields of papers citing papers by Daniel A. Cunha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Cunha. 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 A. Cunha. The network helps show where Daniel A. Cunha may publish in the future.

Co-authorship network of co-authors of Daniel A. Cunha

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

All Works

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20 of 20 papers shown

Aragão, José Aderval, et al.. (2025). ELONGATED STYLOID PROCESS: AN ANATOMICAL FINDING AND A LITERATURE REVIEW OF ITS CLINICAL IMPLICATIONS IN EAGLE'S SYNDROME. Brazilian Journal of Implantology and Health Sciences. 7(9). 688–700.

Lytrivi, Maria, Miguel Lopes, Anthony Piron, et al.. (2020). Combined transcriptome and proteome profiling of the pancreatic β-cell response to palmitate unveils key pathways of β-cell lipotoxicity. BMC Genomics. 21(1). 590–590. 36 indexed citations

Lee, Seung‐Hee, Daniel A. Cunha, Carlo Piermarocchi, et al.. (2017). High-throughput screening and bioinformatic analysis to ascertain compounds that prevent saturated fatty acid-induced β-cell apoptosis. Biochemical Pharmacology. 138. 140–149. 20 indexed citations

Cunha, Daniel A., Monia Cito, Fabio Arturo Grieco, et al.. (2017). Pancreatic β-cell protection from inflammatory stress by the endoplasmic reticulum proteins thrombospondin 1 and mesencephalic astrocyte-derived neutrotrophic factor (MANF). Journal of Biological Chemistry. 292(36). 14977–14988. 43 indexed citations

Cunha, Daniel A., Esteban N. Gurzov, Najib Naamane, et al.. (2014). JunB protects β-cells from lipotoxicity via the XBP1–AKT pathway. Cell Death and Differentiation. 21(8). 1313–1324. 43 indexed citations

Batista, Thiago M., André Dias, Letícia Prates Roma, et al.. (2012). Age-dependent Changes In Rat Lacrimal Gland Anti-oxidant And Vesicular Related Protein Expression Profiles.. Americanae (AECID Library). 24 indexed citations

Cunha, Daniel A., Mariana Igoillo‐Esteve, Esteban N. Gurzov, et al.. (2012). Death Protein 5 and p53-Upregulated Modulator of Apoptosis Mediate the Endoplasmic Reticulum Stress–Mitochondrial Dialog Triggering Lipotoxic Rodent and Human β-Cell Apoptosis. Diabetes. 61(11). 2763–2775. 111 indexed citations

Ortis, Fernanda, Michela Miani, Máikel L. Colli, et al.. (2012). Differential usage of NF‐κB activating signals by IL‐1β and TNF‐α in pancreatic beta cells. FEBS Letters. 586(7). 984–989. 53 indexed citations

Moore, Fabrice, Daniel A. Cunha, Hindrik Mulder, & Décio L. Eizirik. (2011). Use of RNA Interference to Investigate Cytokine Signal Transduction in Pancreatic Beta Cells. Methods in molecular biology. 820. 179–194. 31 indexed citations

10.

Colli, Máikel L., Tatiane C. Nogueira, Florent Allagnat, et al.. (2011). Exposure to the Viral By-Product dsRNA or Coxsackievirus B5 Triggers Pancreatic Beta Cell Apoptosis via a Bim / Mcl-1 Imbalance. PLoS Pathogens. 7(9). e1002267–e1002267. 49 indexed citations

11.

Igoillo‐Esteve, Mariana, Lorella Marselli, Daniel A. Cunha, et al.. (2010). Palmitate induces a pro-inflammatory response in human pancreatic islets that mimics CCL2 expression by beta cells in type 2 diabetes. Diabetologia. 53(7). 1395–1405. 174 indexed citations

12.

Gurzov, Esteban N., Carla Maria Ramos Germano, Daniel A. Cunha, et al.. (2010). p53 Up-regulated Modulator of Apoptosis (PUMA) Activation Contributes to Pancreatic β-Cell Apoptosis Induced by Proinflammatory Cytokines and Endoplasmic Reticulum Stress. Journal of Biological Chemistry. 285(26). 19910–19920. 102 indexed citations

13.

Roma, Letícia Prates, José Roberto Bosqueiro, Daniel A. Cunha, et al.. (2009). Protection of insulin-producing cells against toxicity of dexamethasone by catalase overexpression. Free Radical Biology and Medicine. 47(10). 1386–1393. 24 indexed citations

14.

Gurzov, Esteban N., Fernanda Ortis, Daniel A. Cunha, et al.. (2009). Signaling by IL-1β+IFN-γ and ER stress converge on DP5/Hrk activation: a novel mechanism for pancreatic β-cell apoptosis. Cell Death and Differentiation. 16(11). 1539–1550. 138 indexed citations

15.

Cunha, Daniel A., Letícia Prates Roma, & Antônio C. Boschero. (2007). Prolactin modulates the association and phosphorylation of SNARE and kinesin/MAP-2 proteins in neonatal pancreatic rat islets. Molecular and Cellular Endocrinology. 273(1-2). 32–41. 10 indexed citations

16.

Castro, Rosane Silvestre de, Mônica Alves, Daniel A. Cunha, et al.. (2006). Risk factors and characteristics of ocular complications, and efficacy of autologous serum tears after haematopoietic progenitor cell transplantation. Bone Marrow Transplantation. 38(3). 223–227. 47 indexed citations

17.

Cunha, Daniel A., et al.. (2006). Increased expression of SNARE proteins and synaptotagmin IV in islets from pregnant rats and in vitro prolactin-treated neonatal islets. Biological Research. 39(3). 555–66. 14 indexed citations

18.

Alves, Mônica, Vivian C. Calegari, Daniel A. Cunha, et al.. (2005). Increased expression of advanced glycation end-products and their receptor, and activation of nuclear factor kappa-B in lacrimal glands of diabetic rats. Diabetologia. 48(12). 2675–2681. 70 indexed citations

19.

Alves, Mônica, Daniel A. Cunha, Vivian C. Calegari, et al.. (2005). Nuclear factor-κB and advanced glycation end-products expression in lacrimal glands of aging rats. Journal of Endocrinology. 187(1). 159–166. 24 indexed citations

20.

Bordin, Silvana, Maria Esméria Corezola do Amaral, Gabriel Forato Anhê, et al.. (2004). Prolactin-modulated gene expression profiles in pancreatic islets from adult female rats. Molecular and Cellular Endocrinology. 220(1-2). 41–50. 38 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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