Jared N. Schwartz
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Infectious Diseases
- Co-authors
- Yihong KongDonald B. HackelAlan G. BartelGordon K. KlintworthCharles A. DanielsAnil V. ParwaniDaniel F. HayesM. Elizabeth Hammond
- Topics
- AI in cancer detection (3 papers)Cytomegalovirus and herpesvirus research (3 papers)Infectious Diseases and Mycology (2 papers)
- Partner nations
- United States
In The Last Decade
Jared N. Schwartz
14 papers receiving 271 citations
Peers
Comparison fields: 5 of 72
- Radiology, Nuclear Medicine and Imaging 132
- Surgery 105
- Cardiology and Cardiovascular Medicine 80
- Epidemiology 62
- Infectious Diseases 55
Countries citing papers authored by Jared N. Schwartz
This map shows the geographic impact of Jared N. Schwartz'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 Jared N. Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared N. Schwartz more than expected).
Fields of papers citing papers by Jared N. Schwartz
This network shows the impact of papers produced by Jared N. Schwartz. 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 Jared N. Schwartz. The network helps show where Jared N. Schwartz may publish in the future.
Co-authorship network of co-authors of Jared N. Schwartz
This figure shows the co-authorship network connecting the top 25 collaborators of Jared N. Schwartz. A scholar is included among the top collaborators of Jared N. Schwartz 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 Jared N. Schwartz. Jared N. Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | ePathology: defining the new paradigm of anatomic pathology. | 2 |
| 2 | Expanding the lab's reach with digital pathology. | 1 |
| 3 | Validation of Digital Pathology In a Healthcare Environment | 15 |
| 4 | 11 | |
| 5 | In reply [3] | 1 |
| 6 | 5 | |
| 7 | Now, one-stop medicine? Doctors sell the drugs they prescribe, and angry pharmacists cry conflict of interest. | 1 |
| 8 | 4 | |
| 9 | 16 | |
| 10 | 58 | |
| 11 | Cytomegalovirus replication and the host immune response. | 15 |
| 12 | Lymphoid cell necrosis, thymic atrophy, and growth retardation in newborn mice inoculated with murine cytomegalovirus. | 17 |
| 13 | 153 | |
| 14 | Experimental cytomegalovirus ophthalmitis. | 24 |
About Jared N. Schwartz
Jared N. Schwartz is a scholar working on Microbiology, Small Animals and Otorhinolaryngology, having authored 14 papers that have together received 323 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Infectious Diseases and Mycology (2 papers). The work is most often cited by research in Otorhinolaryngology (35 citations), Radiology, Nuclear Medicine and Imaging (132 citations) and Microbiology (3 citations). Jared N. Schwartz has collaborated with scholars based in United States. Frequent co-authors include Yihong Kong, Donald B. Hackel, Alan G. Bartel, Gordon K. Klintworth, Charles A. Daniels, Anil V. Parwani, Daniel F. Hayes, M. Elizabeth Hammond, Antonio C. Wolff and David J. Lang. Their work appears in journals such as Journal of Clinical Oncology, The American Journal of Cardiology and The Journal of Pediatrics.
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.