Albino Eccher

4.3k total citations
161 papers, 2.6k citations indexed

About

Albino Eccher is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Albino Eccher has authored 161 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Pulmonary and Respiratory Medicine, 45 papers in Oncology and 37 papers in Surgery. Recurrent topics in Albino Eccher's work include AI in cancer detection (28 papers), Cancer Genomics and Diagnostics (18 papers) and Cancer Immunotherapy and Biomarkers (15 papers). Albino Eccher is often cited by papers focused on AI in cancer detection (28 papers), Cancer Genomics and Diagnostics (18 papers) and Cancer Immunotherapy and Biomarkers (15 papers). Albino Eccher collaborates with scholars based in Italy, United States and United Kingdom. Albino Eccher's co-authors include Ilaria Girolami, Matteo Brunelli, Liron Pantanowitz, Stefano Marletta, Aldo Scarpa, Guido Martignoni, Claudio Ghimenton, Enrico Munari, Stefano Gobbo and Giancarlo Troncone and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Albino Eccher

157 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Albino Eccher Italy 31 836 771 575 484 470 161 2.6k
S. Joseph Sirintrapun United States 26 492 0.6× 693 0.9× 660 1.1× 476 1.0× 305 0.6× 71 2.2k
Mogens Vyberg Denmark 33 1.0k 1.2× 754 1.0× 675 1.2× 469 1.0× 331 0.7× 152 3.4k
Petros Karakitsos Greece 33 752 0.9× 719 0.9× 821 1.4× 388 0.8× 265 0.6× 217 3.9k
Linda C. Chu United States 24 1.0k 1.2× 518 0.7× 481 0.8× 239 0.5× 781 1.7× 170 2.5k
Eunyoung Kang South Korea 24 984 1.2× 531 0.7× 432 0.8× 785 1.6× 447 1.0× 109 2.5k
Carolyn Mies United States 36 1.3k 1.5× 548 0.7× 480 0.8× 567 1.2× 820 1.7× 79 3.3k
Philippe Camparo France 29 649 0.8× 1.6k 2.1× 1.2k 2.0× 547 1.1× 157 0.3× 140 3.1k
Christopher N. Otis United States 30 615 0.7× 487 0.6× 433 0.8× 328 0.7× 149 0.3× 100 2.3k
Koen Van de Vijver Belgium 29 825 1.0× 518 0.7× 570 1.0× 589 1.2× 404 0.9× 151 3.8k
Ilaria Girolami Italy 25 556 0.7× 450 0.6× 151 0.3× 174 0.4× 285 0.6× 76 1.5k

Countries citing papers authored by Albino Eccher

Since Specialization
Citations

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

Fields of papers citing papers by Albino Eccher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Albino Eccher

This figure shows the co-authorship network connecting the top 25 collaborators of Albino Eccher. A scholar is included among the top collaborators of Albino Eccher 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 Albino Eccher. Albino Eccher 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.
Eccher, Albino, Giulia d’Amati, Nicola Fusco, et al.. (2024). Digital Pathology Applications for PD-L1 Scoring in Head and Neck Squamous Cell Carcinoma: A Challenging Series. Journal of Clinical Medicine. 13(5). 1240–1240. 2 indexed citations
2.
Cecchetto, Giovanni, et al.. (2024). Atypical suicide by single incising cut to the throat without hesitation marks: Case report and review of the literature. Legal Medicine. 70. 102468–102468. 2 indexed citations
3.
Marletta, Stefano, Albino Eccher, Ilaria Girolami, et al.. (2024). Artificial intelligence–based algorithms for the diagnosis of prostate cancer: A systematic review. American Journal of Clinical Pathology. 161(6). 526–534. 30 indexed citations
4.
Eccher, Albino, Vincenzo L’Imperio, Umberto Malapelle, et al.. (2024). Pathology Laboratory Archives: Conservation Quality of Nucleic Acids and Proteins for NSCLC Molecular Testing. Journal of Personalized Medicine. 14(4). 333–333. 3 indexed citations
5.
Marletta, Stefano, Alessia Nottegar, Albino Eccher, et al.. (2024). The application of artificial intelligence to thyroid nodule assessment. Diagnostic histopathology. 30(6). 339–343. 2 indexed citations
6.
Eccher, Albino, Jan U. Becker, Giovanni Gambaro, et al.. (2024). Improving the Annotation Process in Computational Pathology: A Pilot Study with Manual and Semi-automated Approaches on Consumer and Medical Grade Devices. Journal of Imaging Informatics in Medicine. 38(2). 1112–1119. 1 indexed citations
7.
Eccher, Albino, Ilaria Girolami, Vincenzo L’Imperio, et al.. (2023). Time for a full digital approach in nephropathology: a systematic review of current artificial intelligence applications and future directions. Journal of Nephrology. 37(1). 65–76. 12 indexed citations
8.
Bolognesi, Maddalena M., Albino Eccher, Federico Alberici, et al.. (2023). Congo Red Staining in Digital Pathology: The Streamlined Pipeline for Amyloid Detection Through Congo Red Fluorescence Digital Analysis. Laboratory Investigation. 103(11). 100243–100243. 8 indexed citations
9.
Marletta, Stefano, Vincenzo L’Imperio, Albino Eccher, et al.. (2023). Artificial intelligence-based tools applied to pathological diagnosis of microbiological diseases. Pathology - Research and Practice. 243. 154362–154362. 27 indexed citations
10.
Eccher, Albino, Ilaria Girolami, Giuseppe Nicolò Fanelli, et al.. (2023). Value of Artificial Intelligence in Evaluating Lymph Node Metastases. Cancers. 15(9). 2491–2491. 29 indexed citations
11.
Eccher, Albino, Angelo Paolo Dei Tos, Aldo Scarpa, et al.. (2023). Cost analysis of archives in the pathology laboratories: from safety to management. Journal of Clinical Pathology. 76(10). 659–663. 13 indexed citations
12.
Frascarelli, Chiara, Giuseppina Bonizzi, Elena Guerini‐Rocco, et al.. (2023). Revolutionizing Cancer Research: The Impact of Artificial Intelligence in Digital Biobanking. Journal of Personalized Medicine. 13(9). 1390–1390. 19 indexed citations
13.
Eccher, Albino, Aldo Scarpa, Matteo Brunelli, et al.. (2022). Artificial intelligence in head and neck cancer diagnosis. Journal of Pathology Informatics. 13. 100153–100153. 25 indexed citations
14.
Eccher, Albino, Ilaria Girolami, & Aldo Scarpa. (2022). Digital pathology all stars. Journal of Pathology Informatics. 13. 100125–100125. 1 indexed citations
15.
Girolami, Ilaria, Liron Pantanowitz, Massimo Barberis, et al.. (2021). Challenges facing pathologists evaluating PD‐L1 in head & neck squamous cell carcinoma. Journal of Oral Pathology and Medicine. 50(9). 864–873. 35 indexed citations
16.
Riva, Giulio, Luca Cima, Claudio Ghimenton, et al.. (2018). Oil Red O Is a Useful Tool to Assess Donor Liver Steatosis on Frozen Sections During Transplantation. Transplantation Proceedings. 50(10). 3539–3543. 27 indexed citations
17.
Cima, Luca, Giulio Riva, Antonietta D’Errico, et al.. (2017). Fast Chromotrope Aniline Blue Special Stain Is a Useful Tool to Assess Fibrosis on Liver Biopsy During Transplantation. Transplantation Proceedings. 49(4). 667–670. 7 indexed citations
18.
Fiorini, Claudia, Matteo Brunelli, Luca Cima, et al.. (2016). LC3B and ph-S6K are both expressed in epithelioid and classic renal angiomyolipoma: a rationale tissue-based evidence for combining use of autophagic and mTOR targeted drugs. International Journal of Clinical and Experimental Pathology. 9(7). 7020–7029. 1 indexed citations
19.
Brunelli, Matteo, Erminia Manfrin, Keith Miller, et al.. (2009). Her‐2/neu evaluation in Sister Mary Joseph’s nodule from breast carcinoma: a case report and review of the literature. Journal of Cutaneous Pathology. 36(6). 702–705. 5 indexed citations
20.
Brunelli, Matteo, Erminia Manfrin, Guido Martignoni, et al.. (2009). Genotypic Intratumoral Heterogeneity in Breast Carcinoma With HER2/neu Amplification. American Journal of Clinical Pathology. 131(5). 678–682. 87 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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