Emily Alsentzer
- Artificial Intelligence top 2%
- Molecular Biology
- Health Informatics top 0.5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Health Information Management top 2%
- Co-authors
- Tristan NaumannWei‐Hung WengMatthew B. A. McDermottWilliam BoagJohn R. MurphyDavid W. BatesJorge A. RodriguezTravis Zack
- Topics
- Machine Learning in Healthcare (6 papers)Topic Modeling (5 papers)Artificial Intelligence in Healthcare and Education (5 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaSocial Science & Medicine
- Partner nations
- United StatesPeruCanada
In The Last Decade
Emily Alsentzer
18 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 827
- Molecular Biology 333
- Health Informatics 255
- Radiology, Nuclear Medicine and Imaging 134
- Health Information Management 109
Countries citing papers authored by Emily Alsentzer
This map shows the geographic impact of Emily Alsentzer'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 Emily Alsentzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Alsentzer more than expected).
Fields of papers citing papers by Emily Alsentzer
This network shows the impact of papers produced by Emily Alsentzer. 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 Emily Alsentzer. The network helps show where Emily Alsentzer may publish in the future.
Co-authorship network of co-authors of Emily Alsentzer
This figure shows the co-authorship network connecting the top 25 collaborators of Emily Alsentzer. A scholar is included among the top collaborators of Emily Alsentzer 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 Emily Alsentzer. Emily Alsentzer 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 16 | |
| 8 | Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation studybreakdown → | 222 |
| 9 | 4 | |
| 10 | 16 | |
| 11 | 30 | |
| 12 | 38 | |
| 13 | Subgraph Neural Networks | 5 |
| 14 | 1 | |
| 15 | 2 | |
| 16 | Publicly Available Clinicalbreakdown → | 781 |
| 17 | 20 | |
| 18 | 27 | |
| 19 | 1 | |
| 20 | 5 |
About Emily Alsentzer
Emily Alsentzer is a scholar working on Health Informatics, Family Practice and Artificial Intelligence, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (6 papers), Topic Modeling (5 papers) and Artificial Intelligence in Healthcare and Education (5 papers). The work is most often cited by research in Health Informatics (255 citations), Artificial Intelligence (827 citations) and Health Information Management (109 citations). Emily Alsentzer has collaborated with scholars based in United States, Peru and Canada. Frequent co-authors include Tristan Naumann, Wei‐Hung Weng, Matthew B. A. McDermott, William Boag, John R. Murphy, David W. Bates, Jorge A. Rodriguez, Travis Zack, Leo Anthony Celi and Mirac Süzgün. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Social Science & Medicine.
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.