Michael Riben
Impact in
- Health Informatics top 5%
- Reproductive Medicine top 10%
- Endometriosis Research and Treatment
Papers in
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- AI in cancer detection 4
-
- Sarcoma Diagnosis and Treatment 1
- Co-authors
- Liron Pantanowitz (9 shared papers)A. O. Ilesanmi (1 shared paper)Jocelyn E. Harris (1 shared paper)Kristof Chwalisż (1 shared paper)Bruce A. Lessey (1 shared paper)Andrew Evans (4 shared papers)Anil V. Parwani (3 shared papers)Marilyn M. Bui (2 shared papers)
- Journals
- Journal of Pathology Informatics (5 papers)Archives of Pathology & Laboratory Medicine (4 papers)Telemedicine Journal and e-Health (1 paper)Surgical pathology clinics (1 paper)Pathobiology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michael Riben
25 papers receiving 710 citations
Peers
Comparison fields: 5 of 89
- Health Informatics 33
- Reproductive Medicine 78
- Obstetrics and Gynecology 56
- Biophysics 47
- Immunology 134
Countries citing papers authored by Michael Riben
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
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-authors
The 25 scholars most cited alongside Michael Riben, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 151 | |
| 2 | 2021 | 125 | |
| 3 | 2014 | 85 | |
| 4 | 2018 | 65 | |
| 5 | 2005 | 61 | |
| 6 | Identification of HER-2/neu oncogene amplification by fluorescence in situ hybridization in stage I endometrial carcinoma. | 1997 | 47 |
| 7 | 2011 | 34 | |
| 8 | 2016 | 28 | |
| 9 | 2019 | 25 | |
| 10 | 2016 | 20 | |
| 11 | 2016 | 15 | |
| 12 | 2014 | 14 | |
| 13 | 2010 | 13 | |
| 14 | 2017 | 11 | |
| 15 | 2015 | 9 | |
| 16 | 2016 | 8 | |
| 17 | Fungal fruiting bodies in a Pap smear: contamination or infection? | 2006 | 7 |
| 18 | 1998 | 5 | |
| 19 | Aligning tissue banking data models for caBIG interoperability. | 2008 | 4 |
| 20 | 2018 | 2 |
About Michael Riben
Michael Riben is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Molecular Biology, Information Systems and Management and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 739 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Radiology practices and education (3 papers), Scientific Computing and Data Management (3 papers), Biomedical Text Mining and Ontologies (3 papers), Reproductive System and Pregnancy (2 papers), Clinical Laboratory Practices and Quality Control (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Patient Safety and Medication Errors (1 paper). The work is most often cited by research in Health Informatics (33 citations), Reproductive Medicine (78 citations), Obstetrics and Gynecology (56 citations), Biophysics (47 citations) and Immunology (134 citations). Michael Riben has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Liron Pantanowitz, A. O. Ilesanmi, Jocelyn E. Harris, Kristof Chwalisż, Bruce A. Lessey, Andrew Evans, Anil V. Parwani, Marilyn M. Bui, Rachel L. Stewart and Christina Lacchetti. Their work appears in journals such as Journal of Pathology Informatics, Archives of Pathology & Laboratory Medicine, Telemedicine Journal and e-Health, Surgical pathology clinics and Pathobiology.
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.