Danièlle Promé
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Cell Biology top 5%
- Hemoglobin structure and function
Papers in
- Cell Biology 36
- Hemoglobin structure and function 35
- Genetics 33
- Hemoglobinopathies and Related Disorders 33
- Co-authors
- J. C. Promé (12 shared papers)Jean‐Claude Promé (16 shared papers)Henri Wajcman (41 shared papers)Frédéric Galactéros (28 shared papers)Virginie Redeker (2 shared papers)Jean Rossier (2 shared papers)Jean‐Pierre Le Caër (1 shared paper)Steven G. Pueppke (3 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Biochemistry (4 papers)Journal of the American Society for Mass Spectrometry (3 papers)Molecular Microbiology (3 papers)Journal of Mass Spectrometry (3 papers)
- Partner nations
- FranceUnited StatesLuxembourg
In The Last Decade
Danièlle Promé
85 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 95
- Genetics 345
- Cell Biology 327
- Hematology 217
- Agronomy and Crop Science 164
- Biotechnology 135
Countries citing papers authored by Danièlle Promé
This map shows the geographic impact of Danièlle Promé'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 Danièlle Promé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danièlle Promé more than expected).
Fields of papers citing papers by Danièlle Promé
This network shows the impact of papers produced by Danièlle Promé. 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 Danièlle Promé. The network helps show where Danièlle Promé may publish in the future.
Co-authors
The 25 scholars most cited alongside Danièlle Promé, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 158 | |
| 2 | 1992 | 135 | |
| 3 | 1994 | 120 | |
| 4 | 1999 | 85 | |
| 5 | 2001 | 79 | |
| 6 | 1994 | 65 | |
| 7 | 1999 | 63 | |
| 8 | 1991 | 58 | |
| 9 | 1997 | 57 | |
| 10 | 1995 | 45 | |
| 11 | 1998 | 44 | |
| 12 | 1999 | 43 | |
| 13 | 1994 | 42 | |
| 14 | 1991 | 37 | |
| 15 | 1999 | 35 | |
| 16 | 1997 | 31 | |
| 17 | 1997 | 31 | |
| 18 | 1998 | 30 | |
| 19 | 1987 | 30 | |
| 20 | 1990 | 27 |
About Danièlle Promé
Danièlle Promé is a scholar working on Cell Biology, Genetics, Molecular Biology, Spectroscopy and Plant Science, having authored 86 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hemoglobin structure and function (35 papers), Hemoglobinopathies and Related Disorders (33 papers), Mass Spectrometry Techniques and Applications (18 papers), Legume Nitrogen Fixing Symbiosis (13 papers), Erythrocyte Function and Pathophysiology (11 papers), Iron Metabolism and Disorders (9 papers), Carbohydrate Chemistry and Synthesis (7 papers) and Glycosylation and Glycoproteins Research (7 papers). The work is most often cited by research in Genetics (345 citations), Cell Biology (327 citations), Hematology (217 citations), Agronomy and Crop Science (164 citations) and Biotechnology (135 citations). Danièlle Promé has collaborated with scholars based in France, United States and Luxembourg. Frequent co-authors include J. C. Promé, Jean‐Claude Promé, Henri Wajcman, Frédéric Galactéros, Virginie Redeker, Jean Rossier, Jean‐Pierre Le Caër, Steven G. Pueppke, Ronald Melki and J. Riou. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Journal of the American Society for Mass Spectrometry, Molecular Microbiology and Journal of Mass Spectrometry.
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.