Marietta Iacucci

9.8k total citations · 2 hit papers
190 papers, 4.5k citations indexed

About

Marietta Iacucci is a scholar working on Genetics, Oncology and Epidemiology. According to data from OpenAlex, Marietta Iacucci has authored 190 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Genetics, 84 papers in Oncology and 70 papers in Epidemiology. Recurrent topics in Marietta Iacucci's work include Inflammatory Bowel Disease (122 papers), Colorectal Cancer Screening and Detection (65 papers) and Microscopic Colitis (50 papers). Marietta Iacucci is often cited by papers focused on Inflammatory Bowel Disease (122 papers), Colorectal Cancer Screening and Detection (65 papers) and Microscopic Colitis (50 papers). Marietta Iacucci collaborates with scholars based in United Kingdom, Canada and Italy. Marietta Iacucci's co-authors include Subrata Ghosh, Remo Panaccione, Ren Mao, Gilaad G. Kaplan, Yun Qiu, Xianyong Gui, Jun Shen, Jie Liang, Minhu Chen and Siew C. Ng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Marietta Iacucci

179 papers receiving 4.4k 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.

Manifestations and prognosis of gastrointestinal and liver involvement in patients with COVID-19: a systematic review and meta-analysis

2020 681 citations Marietta Iacucci, Subrata Ghosh et al. profile →
Understanding the therapeutic toolkit for inflammatory bowel disease

2025 35 citations Laurent Peyrin‐Biroulet, Marietta Iacucci et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marietta Iacucci United Kingdom	36	2.1k	1.4k	1.3k	1.1k	737	190	4.5k
Joseph D. Feuerstein United States	30	2.1k 1.0×	862 0.6×	1.5k 1.1×	1.1k 1.0×	638 0.9×	171	4.4k
Minhu Chen China	40	1.8k 0.8×	815 0.6×	1.4k 1.1×	1.7k 1.5×	1.0k 1.4×	183	5.5k
Ferdinando D’Amico Italy	28	2.8k 1.3×	619 0.4×	2.0k 1.5×	1.4k 1.2×	548 0.7×	179	4.4k
Ren Mao China	33	1.9k 0.9×	543 0.4×	1.4k 1.1×	1.1k 1.0×	955 1.3×	141	4.0k
Hyo Jong Kim South Korea	27	2.2k 1.0×	769 0.5×	1.8k 1.4×	1.1k 1.0×	227 0.3×	141	4.5k
Hiroki Ikeuchi Japan	34	1.1k 0.5×	866 0.6×	962 0.7×	1.3k 1.1×	365 0.5×	209	3.2k
Sung-Ae Jung South Korea	36	714 0.3×	1.0k 0.7×	1.1k 0.9×	1.4k 1.2×	348 0.5×	228	4.0k
Guilherme Macedo Portugal	30	535 0.3×	812 0.6×	1.1k 0.8×	1.7k 1.5×	384 0.5×	451	3.8k
Alfredo Papa Italy	36	1.9k 0.9×	321 0.2×	1.4k 1.0×	1.4k 1.2×	279 0.4×	161	3.9k
Roger Feakins United Kingdom	34	1.2k 0.6×	955 0.7×	1.0k 0.8×	870 0.8×	112 0.2×	85	3.7k

Countries citing papers authored by Marietta Iacucci

Since Specialization

Citations

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

Fields of papers citing papers by Marietta Iacucci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marietta Iacucci

This figure shows the co-authorship network connecting the top 25 collaborators of Marietta Iacucci. A scholar is included among the top collaborators of Marietta Iacucci 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 Marietta Iacucci. Marietta Iacucci 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

Maeda, Yasuharu, Shin‐ei Kudo, Giovanni Santacroce, et al.. (2025). Evolving Role of Artificial Intelligence in Endoscopic Management of Inflammatory Bowel Disease: Diagnosis, Surveillance, and Assessment. Digestive Endoscopy. 37(11). 1148–1161.

Maeda, Yasuharu, Toyoki Kudo, Noriyuki Ogata, et al.. (2025). Combination of white-light imaging–based and narrow-band imaging–based artificial intelligence models during colonoscopy in patients with ulcerative colitis. Journal of Crohn s and Colitis. 19(1). 3 indexed citations

Iacucci, Marietta, Giovanni Santacroce, Rocío del Amor, et al.. (2025). DOP045 Novel AI-Driven Detection, Localisation and Quantification of Neutrophils for Prediction of Early Response to Therapy in a Phase 2 Ulcerative Colitis Clinical Trial. Journal of Crohn s and Colitis. 19(Supplement_1). i168–i169.

Santacroce, Giovanni, Irene Zammarchi, Olga Maria Nardone, et al.. (2025). Rediscovering histology – the application of artificial intelligence in inflammatory bowel disease histologic assessment. Therapeutic Advances in Gastroenterology. 18. 1128508501–1128508501. 4 indexed citations

Kudo, Shin‐ei, et al.. (2024). Automated Endoscopic Diagnosis in IBD. Gastrointestinal Endoscopy Clinics of North America. 35(1). 213–233. 6 indexed citations

Sinonquel, Pieter, Peter Bossuyt, Marietta Iacucci, et al.. (2024). The AI-based Red Density score is correlated with the established and new histological indices for ulcerative colitis in an independent cohort. Endoscopy. 56(S 02). S97–S98.

Iacucci, Marietta, Giovanni Santacroce, Irene Zammarchi, et al.. (2024). 757 A NOVEL SWITCHING-MULTIMODAL ARTIFICIAL INTELLIGENCE TO SIMULTANEOUSLY CONVERT DIFFERENT ENDOSCOPIC ENHANCEMENT MODALITIES FOR ACCURATE ASSESSMENT OF INFLAMMATION AND HEALING IN ULCERATIVE COLITIS. Gastroenterology. 166(5). S–180. 1 indexed citations

Santacroce, Giovanni, Rocío del Amor, Andrea Buda, et al.. (2024). Simultaneous Detection and Conversion Among Endoscopic Enhancement Modalities. 1–4. 1 indexed citations

Santacroce, Giovanni, Irene Zammarchi, Rocío del Amor, et al.. (2024). Inflammation Detection Using Ensemble Endoscopic Multimodal Assessment in Inflammatory Bowel Disease. Lirias (KU Leuven). 1–4. 1 indexed citations

10.

Maeda, Yasuharu, Shin‐ei Kudo, Masashi Muramatsu, et al.. (2024). OP16 A novel artificial intelligence-assisted Image Enhanced Endoscopy assesses accurately “vascular-healing” and predicts long-term clinical relapse in patients with ulcerative colitis: a prospective cohort study. Journal of Crohn s and Colitis. 18(Supplement_1). i31–i31. 1 indexed citations

11.

Rosini, Francesca, Roger Feakins, Paula Borralho, et al.. (2024). DOP01 Definitions of histological abnormalities in inflammatory bowel disease: an ECCO position paper. Journal of Crohn s and Colitis. 18(Supplement_1). i72–i72. 1 indexed citations

12.

Maeda, Yasuharu, Miguel Puga‐Tejada, Irene Zammarchi, et al.. (2024). Artificial intelligence-enabled advanced endoscopic imaging to assess deep healing in inflammatory bowel disease. SHILAP Revista de lepidopterología. 2(3). e100090–e100090. 4 indexed citations

13.

Nardone, Olga Maria, Marietta Iacucci, Vincenzo Villanacci, et al.. (2023). Real‐world use of endoscopic and histological indices in ulcerative colitis: Results of a global survey. United European Gastroenterology Journal. 11(6). 514–519. 18 indexed citations

14.

Shivaji, Uday N., et al.. (2023). P263 Raman spectroscopy analysis of saliva combined with an artificial neural network algorithm could discriminate between Ulcerative Colitis and Crohn’s disease. Journal of Crohn s and Colitis. 17(Supplement_1). i411–i412. 1 indexed citations

15.

Feakins, Roger, Paula Borralho, Ann Driessen, et al.. (2023). Definitions of Histological Abnormalities in Inflammatory Bowel Disease: an ECCO Position Paper. Journal of Crohn s and Colitis. 18(2). 175–191. 19 indexed citations

16.

Zammarchi, Irene, Giovanni Santacroce, & Marietta Iacucci. (2023). Next-Generation Endoscopy in Inflammatory Bowel Disease. Diagnostics. 13(15). 2547–2547. 17 indexed citations

17.

Smith, Samuel C., Davide Zardo, Rosanna Cannatelli, et al.. (2021). Raman spectroscopy accurately differentiates mucosal healing from non-healing and biochemical changes following biological therapy in inflammatory bowel disease. PLoS ONE. 16(6). e0252210–e0252210. 9 indexed citations

18.

Shivaji, Uday N., Alina Bazarova, Samuel C. Smith, et al.. (2020). Clinical outcomes, predictors of prognosis and health economics consequences in IBD patients after discontinuation of the first biological therapy. Therapeutic Advances in Gastroenterology. 13. 3974170080–3974170080. 2 indexed citations

19.

Shivaji, Uday N., Louisa Jeffery, Xianyong Gui, et al.. (2019). Immune checkpoint inhibitor-associated gastrointestinal and hepatic adverse events and their management. Therapeutic Advances in Gastroenterology. 12. 3973073060–3973073060. 56 indexed citations

20.

Gasia, Miriam Fort, Remo Panaccione, Gilaad G. Kaplan, et al.. (2015). P175. Clinical outcome of ulcerative colitis with mucosal healing demonstrated by white light endoscopy but with subtle abnormalities detected by high definition iSCAN endoscopy. Journal of Crohn s and Colitis. 9(suppl 1). S164–S164. 1 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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