Mercy Asiedu
- Epidemiology
- Artificial Intelligence top 10%
- Oncology
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Co-authors
- Nirmala RamanujamJohn W. SchmittChristopher T. LamGuillermo SapiroJenna L. MuellerGino VenegasMarlee KriegerRae Jean Proeschold‐Bell
- Topics
- Cervical Cancer and HPV Research (9 papers)AI in cancer detection (6 papers)Global Cancer Incidence and Screening (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- United StatesTanzaniaUnited Kingdom
In The Last Decade
Mercy Asiedu
17 papers receiving 202 citations
Peers
Comparison fields: 5 of 55
- Epidemiology 127
- Artificial Intelligence 93
- Oncology 53
- Radiology, Nuclear Medicine and Imaging 38
- Biomedical Engineering 27
Countries citing papers authored by Mercy Asiedu
This map shows the geographic impact of Mercy Asiedu'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 Mercy Asiedu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercy Asiedu more than expected).
Fields of papers citing papers by Mercy Asiedu
This network shows the impact of papers produced by Mercy Asiedu. 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 Mercy Asiedu. The network helps show where Mercy Asiedu may publish in the future.
Co-authorship network of co-authors of Mercy Asiedu
This figure shows the co-authorship network connecting the top 25 collaborators of Mercy Asiedu. A scholar is included among the top collaborators of Mercy Asiedu 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 Mercy Asiedu. Mercy Asiedu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | 29 | |
| 14 | 8 | |
| 15 | 82 | |
| 16 | 35 | |
| 17 | 3 | |
| 18 | 3 |
About Mercy Asiedu
Mercy Asiedu is a scholar working on Health Informatics, Epidemiology and Obstetrics and Gynecology, having authored 18 papers that have together received 209 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (9 papers), AI in cancer detection (6 papers) and Global Cancer Incidence and Screening (2 papers). The work is most often cited by research in Health Informatics (11 citations), Epidemiology (127 citations) and Artificial Intelligence (93 citations). Mercy Asiedu has collaborated with scholars based in United States, Tanzania and United Kingdom. Frequent co-authors include Nirmala Ramanujam, John W. Schmitt, Christopher T. Lam, Guillermo Sapiro, Jenna L. Mueller, Gino Venegas, Marlee Krieger, Rae Jean Proeschold‐Bell, Peyton T. Taylor and Rhea Chitalia. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.