Jeffrey S. Mohlman
- Oncology
- Artificial Intelligence
- Pathology and Forensic Medicine
- Radiology, Nuclear Medicine and Imaging
- Physiology
- Co-authors
- Jonathan R. GenzenRonald L. WeissValerio PascucciMohamed E. SalamaJessica KohanMitchell S. CairoSherrie L. PerkinsRodney R. Miles
- Topics
- Radiomics and Machine Learning in Medical Imaging (2 papers)AI in cancer detection (2 papers)Lymphoma Diagnosis and Treatment (2 papers)
- Partner nations
- United States
In The Last Decade
Jeffrey S. Mohlman
10 papers receiving 117 citations
Peers
Comparison fields: 5 of 57
- Oncology 32
- Artificial Intelligence 31
- Pathology and Forensic Medicine 24
- Radiology, Nuclear Medicine and Imaging 24
- Physiology 21
Countries citing papers authored by Jeffrey S. Mohlman
This map shows the geographic impact of Jeffrey S. Mohlman'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 Jeffrey S. Mohlman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey S. Mohlman more than expected).
Fields of papers citing papers by Jeffrey S. Mohlman
This network shows the impact of papers produced by Jeffrey S. Mohlman. 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 Jeffrey S. Mohlman. The network helps show where Jeffrey S. Mohlman may publish in the future.
Co-authorship network of co-authors of Jeffrey S. Mohlman
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey S. Mohlman. A scholar is included among the top collaborators of Jeffrey S. Mohlman 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 Jeffrey S. Mohlman. Jeffrey S. Mohlman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 33 | |
| 4 | 20 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 44 | |
| 10 | 3 |
About Jeffrey S. Mohlman
Jeffrey S. Mohlman is a scholar working on Family Practice, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 10 papers that have together received 120 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), AI in cancer detection (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Informatics (8 citations), Family Practice (3 citations) and Pathology and Forensic Medicine (24 citations). Jeffrey S. Mohlman has collaborated with scholars based in United States. Frequent co-authors include Jonathan R. Genzen, Ronald L. Weiss, Valerio Pascucci, Mohamed E. Salama, Jessica Kohan, Mitchell S. Cairo, Sherrie L. Perkins, Rodney R. Miles, Thomas G. Gross and Karen M. Chisholm. Their work appears in journals such as PEDIATRICS, Clinical Chemistry and American Journal of Clinical Pathology.
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.