Patrice Heid
- Epidemiology
- Oncology
- Microbiology top 10%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Co-authors
- B. SéradourL PianaCatherine TamaletJacques EstèveH Sancho-GarnierPhilippe HalfonJocelyne JacquemierPhilip Davies
- Topics
- Global Cancer Incidence and Screening (9 papers)Digital Radiography and Breast Imaging (7 papers)Cervical Cancer and HPV Research (5 papers)
- Partner nations
- FranceNetherlandsUnited States
In The Last Decade
Patrice Heid
18 papers receiving 286 citations
Peers
Comparison fields: 5 of 34
- Epidemiology 185
- Oncology 164
- Microbiology 59
- Pulmonary and Respiratory Medicine 48
- Artificial Intelligence 44
Countries citing papers authored by Patrice Heid
This map shows the geographic impact of Patrice Heid'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 Patrice Heid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrice Heid more than expected).
Fields of papers citing papers by Patrice Heid
This network shows the impact of papers produced by Patrice Heid. 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 Patrice Heid. The network helps show where Patrice Heid may publish in the future.
Co-authorship network of co-authors of Patrice Heid
This figure shows the co-authorship network connecting the top 25 collaborators of Patrice Heid. A scholar is included among the top collaborators of Patrice Heid 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 Patrice Heid. Patrice Heid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 23 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 94 | |
| 9 | 33 | |
| 10 | 21 | |
| 11 | 27 | |
| 12 | 22 | |
| 13 | 3 | |
| 14 | Recommandations pour un programme d'assurance de qualité en mammographie numérique | 1 |
| 15 | 0 | |
| 16 | [Organized cervical cancer screening for underpriviledged women]. | 11 |
| 17 | [Screening mammography of women with a hereditary predisposition to cancer of the breast]. | 3 |
| 18 | [Recommendations for a QA program for digital mammography]. | 2 |
| 19 | [Digital mammography and computer assisted diagnosis]. | 1 |
| 20 | 39 |
About Patrice Heid
Patrice Heid is a scholar working on Oncology, Microbiology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 294 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (9 papers), Digital Radiography and Breast Imaging (7 papers) and Cervical Cancer and HPV Research (5 papers). The work is most often cited by research in Microbiology (59 citations), Health Informatics (10 citations) and Oncology (164 citations). Patrice Heid has collaborated with scholars based in France, Netherlands and United States. Frequent co-authors include B. Séradour, L Piana, Catherine Tamalet, Jacques Estève, H Sancho-Garnier, Philippe Halfon, Jocelyne Jacquemier, Philip Davies, H Garnier and Patrice Taourel. Their work appears in journals such as International Journal of Cancer, American Journal of Roentgenology and Medical Physics.
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.