Danielle de Moissac
- Molecular Biology
- General Health Professions top 5%
- Cancer Research top 10%
- Pathology and Forensic Medicine top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Lorrie A. KirshenbaumSarah BowenHui ZhengArnold H. GreenbergPawan K. SingalJ. SyguschNdèye Rokhaya GueyeCasimir Blonski
- Topics
- Interpreting and Communication in Healthcare (10 papers)Migration, Identity, and Health (7 papers)Healthcare Systems and Practices (7 papers)
- Journals
- Journal of Biological ChemistryCirculationSHILAP Revista de lepidopterología
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Danielle de Moissac
32 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 518
- General Health Professions 223
- Cancer Research 177
- Pathology and Forensic Medicine 126
- Cardiology and Cardiovascular Medicine 117
Countries citing papers authored by Danielle de Moissac
This map shows the geographic impact of Danielle de Moissac'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 Danielle de Moissac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle de Moissac more than expected).
Fields of papers citing papers by Danielle de Moissac
This network shows the impact of papers produced by Danielle de Moissac. 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 Danielle de Moissac. The network helps show where Danielle de Moissac may publish in the future.
Co-authorship network of co-authors of Danielle de Moissac
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle de Moissac. A scholar is included among the top collaborators of Danielle de Moissac 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 Danielle de Moissac. Danielle de Moissac 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 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 9 | |
| 11 | 140 | |
| 12 | 37 | |
| 13 | 8 | |
| 14 | 5 | |
| 15 | 38 | |
| 16 | 123 | |
| 17 | 86 | |
| 18 | 74 | |
| 19 | 124 | |
| 20 | 1 |
About Danielle de Moissac
Danielle de Moissac is a scholar working on Medical Terminology, Research and Theory and General Health Professions, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Interpreting and Communication in Healthcare (10 papers), Migration, Identity, and Health (7 papers) and Healthcare Systems and Practices (7 papers). The work is most often cited by research in Cancer Research (177 citations), General Health Professions (223 citations) and Molecular Biology (518 citations). Danielle de Moissac has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Lorrie A. Kirshenbaum, Sarah Bowen, Hui Zheng, Arnold H. Greenberg, Pawan K. Singal, J. Sygusch, Ndèye Rokhaya Gueye, Casimir Blonski, Jacques Périé and Alexander Zdanov. Their work appears in journals such as Journal of Biological Chemistry, Circulation and SHILAP Revista de lepidopterología.
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.