Michele Longo

4.4k total citations · 2 hit papers
47 papers, 3.3k citations indexed

About

Michele Longo is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Michele Longo has authored 47 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Physiology and 14 papers in Surgery. Recurrent topics in Michele Longo's work include Epigenetics and DNA Methylation (16 papers), Adipose Tissue and Metabolism (11 papers) and Pancreatic function and diabetes (10 papers). Michele Longo is often cited by papers focused on Epigenetics and DNA Methylation (16 papers), Adipose Tissue and Metabolism (11 papers) and Pancreatic function and diabetes (10 papers). Michele Longo collaborates with scholars based in Italy, Sweden and United States. Michele Longo's co-authors include Francesco Bèguinot, Claudia Miele, Gregory Alexander Raciti, Federica Zatterale, Jamal Naderi, Pietro Formisano, Luca Parrillo, Antonella Desiderio, Cecilia Nigro and Rosa Spinelli and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Michele Longo

47 papers receiving 3.2k 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.

Adipose Tissue Dysfunction as Determinant of Obesity-Associated Metabolic Complications

2019 1.1k citations Michele Longo, Federica Zatterale et al. profile →
Chronic Adipose Tissue Inflammation Linking Obesity to Insulin Resistance and Type 2 Diabetes

2020 761 citations Federica Zatterale, Michele Longo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michele Longo Italy	25	1.2k	982	956	355	349	47	3.3k
Atilla Engin Türkiye	25	960 0.8×	763 0.8×	766 0.8×	433 1.2×	293 0.8×	79	3.3k
Muthuswamy Balasubramanyam India	35	961 0.8×	1.4k 1.4×	631 0.7×	557 1.6×	324 0.9×	93	3.4k
Rosário Monteiro Portugal	26	702 0.6×	651 0.7×	525 0.5×	342 1.0×	228 0.7×	59	2.7k
Jiqiu Wang China	25	1.0k 0.9×	1.5k 1.6×	613 0.6×	243 0.7×	256 0.7×	83	3.0k
Clare M. Reynolds New Zealand	30	929 0.8×	772 0.8×	815 0.9×	476 1.3×	534 1.5×	82	4.0k
Guang Ning China	33	993 0.8×	1.4k 1.5×	1.1k 1.1×	757 2.1×	410 1.2×	112	4.4k
Laura J. den Hartigh United States	20	836 0.7×	635 0.6×	663 0.7×	271 0.8×	280 0.8×	38	2.1k
Gregory Alexander Raciti Italy	26	1.2k 1.0×	1.2k 1.2×	977 1.0×	431 1.2×	373 1.1×	51	3.3k
Bernard E. Bihain France	27	1.5k 1.2×	918 0.9×	1.5k 1.6×	588 1.7×	617 1.8×	53	4.0k
Caroline Duval France	18	730 0.6×	1.2k 1.3×	1.0k 1.1×	376 1.1×	561 1.6×	22	2.7k

Countries citing papers authored by Michele Longo

Since Specialization

Citations

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

Fields of papers citing papers by Michele Longo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Longo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Leone, Alessia, Immacolata Prevenzano, Federica Zatterale, et al.. (2023). Methylglyoxal Impairs the Pro-Angiogenic Ability of Mouse Adipose-Derived Stem Cells (mADSCs) via a Senescence-Associated Mechanism. Cells. 12(13). 1741–1741. 3 indexed citations

Parrillo, Luca, Rosa Spinelli, Michele Longo, et al.. (2023). The Transcription Factor HOXA5: Novel Insights into Metabolic Diseases and Adipose Tissue Dysfunction. Cells. 12(16). 2090–2090. 7 indexed citations

Prevenzano, Immacolata, Alessia Leone, Michele Longo, et al.. (2022). Glyoxalase 1 knockdown induces age‐related β‐cell dysfunction and glucose intolerance in mice. EMBO Reports. 23(7). e52990–e52990. 6 indexed citations

Spinelli, Rosa, Luca Parrillo, Michele Longo, et al.. (2020). Molecular basis of ageing in chronic metabolic diseases. Journal of Endocrinological Investigation. 43(10). 1373–1389. 60 indexed citations

Nigro, Cecilia, Alessia Leone, Michele Longo, et al.. (2018). Methylglyoxal accumulation de-regulates HoxA5 expression, thereby impairing angiogenesis in glyoxalase 1 knock-down mouse aortic endothelial cells. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(1). 73–85. 28 indexed citations

Raciti, Gregory Alexander, Francesca Fiory, Antonella Desiderio, et al.. (2018). Citrus aurantium L. dry extracts promote C/ebpβ expression and improve adipocyte differentiation in 3T3-L1 cells. PLoS ONE. 13(3). e0193704–e0193704. 17 indexed citations

Oriente, Francesco, Giuseppe Perruolo, Ilaria Cimmino, et al.. (2018). Prep1, A Homeodomain Transcription Factor Involved in Glucose and Lipid Metabolism. Frontiers in Endocrinology. 9. 346–346. 13 indexed citations

Vastolo, Viviana, Immacolata Cristina Nettore, Luigi Albano, et al.. (2018). High-fat diet unveils an enhancer element at the Ped/Pea-15 gene responsible for epigenetic memory in skeletal muscle. Metabolism. 87. 70–79. 13 indexed citations

Raciti, Gregory Alexander, Rosa Spinelli, Antonella Desiderio, et al.. (2017). Specific CpG hyper-methylation leads to Ankrd26 gene down-regulation in white adipose tissue of a mouse model of diet-induced obesity. Scientific Reports. 7(1). 43526–43526. 35 indexed citations

10.

Longo, Michele, Gregory Alexander Raciti, Federica Zatterale, et al.. (2017). Epigenetic modifications of the Zfp/ZNF423 gene control murine adipogenic commitment and are dysregulated in human hypertrophic obesity. Diabetologia. 61(2). 369–380. 48 indexed citations

11.

Mirra, Paola, Cecilia Nigro, Immacolata Prevenzano, et al.. (2016). The role of miR-190a in methylglyoxal-induced insulin resistance in endothelial cells. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(2). 440–449. 23 indexed citations

12.

Longo, Michele, Rosa Spinelli, Vittoria D’Esposito, et al.. (2016). Pathologic endoplasmic reticulum stress induced by glucotoxic insults inhibits adipocyte differentiation and induces an inflammatory phenotype. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1863(6). 1146–1156. 43 indexed citations

13.

Vastolo, Viviana, Luigi Albano, Serena Cabaro, et al.. (2015). Glucose-induced expression of the homeotic transcription factor Prep1 is associated with histone post-translational modifications in skeletal muscle. Diabetologia. 59(1). 176–186. 26 indexed citations

14.

Raciti, Gregory Alexander, Michele Longo, Luca Parrillo, et al.. (2015). Understanding type 2 diabetes: from genetics to epigenetics. Acta Diabetologica. 52(5). 821–827. 37 indexed citations

15.

Valentino, Rossella, Vittoria D’Esposito, Federica Passaretti, et al.. (2013). Bisphenol-A Impairs Insulin Action and Up-Regulates Inflammatory Pathways in Human Subcutaneous Adipocytes and 3T3-L1 Cells. PLoS ONE. 8(12). e82099–e82099. 102 indexed citations

16.

Oriente, Francesco, Serena Cabaro, Antonietta Liotti, et al.. (2013). PREP1 deficiency downregulates hepatic lipogenesis and attenuates steatohepatitis in mice. Diabetologia. 56(12). 2713–2722. 25 indexed citations

17.

Ungaro, Paola, Paola Mirra, Francesco Oriente, et al.. (2012). Peroxisome Proliferator-activated Receptor-γ Activation Enhances Insulin-stimulated Glucose Disposal by Reducing ped/pea-15 Gene Expression in Skeletal Muscle Cells. Journal of Biological Chemistry. 287(51). 42951–42961. 17 indexed citations

18.

Ungaro, Paola, Raffaele Teperino, Paola Mirra, et al.. (2010). Hepatocyte nuclear factor (HNF)-4α-driven epigenetic silencing of the human PED gene. Diabetologia. 53(7). 1482–1492. 17 indexed citations

19.

Pilotto, Alberto, Marilisa Franceschi, Gioacchino Leandro, et al.. (2004). Proton‐pump inhibitors reduce the risk of uncomplicated peptic ulcer in elderly either acute or chronic users of aspirin/non‐steroidal anti‐inflammatory drugs. Alimentary Pharmacology & Therapeutics. 20(10). 1091–1097. 67 indexed citations

20.

Pilotto, Alberto, Marilisa Franceschi, Michele Longo, et al.. (2004). Helicobacter pylori infection and the prevention of peptic ulcer with proton pump inhibitors in elderly subjects taking low-dose aspirin. Digestive and Liver Disease. 36(10). 666–670. 39 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.

Explore authors with similar magnitude of impact