Michael Riben

935 total citations
25 papers, 669 citations indexed

About

Michael Riben is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Riben has authored 25 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Molecular Biology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Riben's work include AI in cancer detection (8 papers), Biomedical Text Mining and Ontologies (7 papers) and Radiology practices and education (5 papers). Michael Riben is often cited by papers focused on AI in cancer detection (8 papers), Biomedical Text Mining and Ontologies (7 papers) and Radiology practices and education (5 papers). Michael Riben collaborates with scholars based in United States, Canada and Germany. Michael Riben's co-authors include Liron Pantanowitz, Jocelyn E. Harris, A. O. Ilesanmi, Bruce A. Lessey, Kristof Chwalisż, Andrew Evans, Anil V. Parwani, Walter H. Henricks, Rachel L. Stewart and Christina Lacchetti and has published in prestigious journals such as The Annals of Thoracic Surgery, Gynecologic Oncology and Archives of Pathology & Laboratory Medicine.

In The Last Decade

Michael Riben

25 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Riben United States 12 241 150 127 120 93 25 669
Karima Mrad Tunisia 15 85 0.4× 53 0.4× 117 0.9× 207 1.7× 90 1.0× 92 724
Francesca Arezzo Italy 12 81 0.3× 129 0.9× 56 0.4× 145 1.2× 50 0.5× 65 514
Youn Jin Choi South Korea 15 77 0.3× 61 0.4× 121 1.0× 152 1.3× 87 0.9× 52 792
J Słodkowska Poland 15 196 0.8× 99 0.7× 45 0.4× 193 1.6× 125 1.3× 63 637
Henrik Olsson Sweden 15 62 0.3× 92 0.6× 79 0.6× 119 1.0× 159 1.7× 49 730
Tarik M. Elsheikh United States 21 155 0.6× 120 0.8× 26 0.2× 295 2.5× 135 1.5× 64 1.7k
Luiza Moore United Kingdom 15 225 0.9× 208 1.4× 71 0.6× 220 1.8× 116 1.2× 24 1.4k
Robert A. Goulart United States 14 143 0.6× 61 0.4× 43 0.3× 224 1.9× 63 0.7× 43 897
Tusneem Elhassan Saudi Arabia 13 152 0.6× 64 0.4× 38 0.3× 146 1.2× 42 0.5× 55 626
Fang‐I Lu Canada 16 189 0.8× 244 1.6× 24 0.2× 309 2.6× 228 2.5× 41 794

Countries citing papers authored by Michael Riben

Since Specialization
Citations

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

Fields of papers citing papers by Michael Riben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Riben

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Riben. A scholar is included among the top collaborators of Michael Riben 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 Michael Riben. Michael Riben 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.
Cui, Shengjie, Sandeep Sahay, Horiana B. Grosu, et al.. (2025). Pulmonary Tumor Thrombotic Microangiopathy. JACC Case Reports. 30(5). 103194–103194. 1 indexed citations
2.
Evans, Andrew, Richard W. Brown, Marilyn M. Bui, et al.. (2021). Validating Whole Slide Imaging Systems for Diagnostic Purposes in Pathology. Archives of Pathology & Laboratory Medicine. 146(4). 440–450. 111 indexed citations
3.
Stram, Michelle, Douglas J. Hartman, Stanley M. Huff, et al.. (2019). Logical Observation Identifiers Names and Codes for Laboratorians. Archives of Pathology & Laboratory Medicine. 144(2). 229–239. 25 indexed citations
4.
Bui, Marilyn M., Michael Riben, Kimberly H. Allison, et al.. (2018). Quantitative Image Analysis of Human Epidermal Growth Factor Receptor 2 Immunohistochemistry for Breast Cancer: Guideline From the College of American Pathologists. Archives of Pathology & Laboratory Medicine. 143(10). 1180–1195. 59 indexed citations
5.
Mandecki, Włodek, et al.. (2018). Electronic p-Chip-Based System for Identification of Glass Slides and Tissue Cassettes in Histopathology Laboratories. Journal of Pathology Informatics. 9(1). 9–9. 2 indexed citations
6.
Riben, Michael, et al.. (2017). Efficacy of telecytopathology for preliminary assessment of fine-needle aspirations performed at a remote facility. Journal of the American Society of Cytopathology. 7(1). 22–30. 10 indexed citations
7.
Henricks, Walter H., Donald S. Karcher, James H. Harrison, et al.. (2016). Pathology Informatics Essentials for Residents: A flexible informatics curriculum linked to Accreditation Council for Graduate Medical Education milestones. Journal of Pathology Informatics. 7(1). 27–27. 14 indexed citations
8.
Henricks, Walter H., Donald S. Karcher, James H. Harrison, et al.. (2016). Pathology Informatics Essentials for Residents. Academic Pathology. 3. 1530659179–1530659179. 8 indexed citations
9.
Min, Hua, Stuart Turner, Sherri de Coronado, et al.. (2016). Towards a standard ontology metadata model. The Mouseion at the JAXlibrary (Jackson Laboratory). 1747. 1 indexed citations
10.
Riben, Michael. (2015). Laboratory Automation and Middleware. Surgical pathology clinics. 8(2). 175–186. 7 indexed citations
11.
Pantanowitz, Liron, Andrew Evans, Lewis Hassell, et al.. (2014). ATA Clinical Guidelines for Telepathology. Telemedicine Journal and e-Health. 20(11). 1049–1056. 10 indexed citations
12.
Pantanowitz, Liron, Andrew Evans, Lewis Hassell, et al.. (2014). American Telemedicine Association clinical guidelines for telepathology. Journal of Pathology Informatics. 5(1). 39–39. 76 indexed citations
13.
14.
15.
Riben, Michael, et al.. (2008). Real-time process "defect" collection within the anatomic pathology laboratory to facilitate informatics driven workflow optimization.. PubMed. 1110–1110. 2 indexed citations
16.
Riben, Michael & Ruth L. Katz. (2006). Fungal fruiting bodies in a Pap smear: contamination or infection?. PubMed. 50(1). 112–4. 7 indexed citations
17.
Hoekstra, Anna V., Michael Riben, Michael Frumovitz, Jinsong Liu, & Pedro T. Ramírez. (2005). Well-differentiated papillary mesothelioma of the peritoneum: A pathological analysis and review of the literature. Gynecologic Oncology. 98(1). 161–167. 54 indexed citations
18.
Riben, Michael, Riivo Ilves, & Barbara J. McKenna. (1999). Second primary Barrett’s adenocarcinoma after 19 years. The Annals of Thoracic Surgery. 67(6). 1796–1798. 2 indexed citations
19.
Riben, Michael, John H. Malfetano, Tipu Nazeer, et al.. (1997). Identification of HER-2/neu oncogene amplification by fluorescence in situ hybridization in stage I endometrial carcinoma.. PubMed. 10(8). 823–31. 46 indexed citations
20.
Lessey, Bruce A., et al.. (1996). Luminal and Glandular Endometrial Epithelium Express Integrins Differentially Throughout the Menstrual Cycle: Implications for Implantation, Contraception, and Infertility. American Journal of Reproductive Immunology. 35(3). 195–204. 135 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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