Danièlle Promé

2.2k citations
85 papers · 1.8k · h-index 24

Impact in

  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders
    • Hemoglobin structure and function
    • Microtubule and mitosis dynamics

Papers in

    • Hemoglobin structure and function 35
    • Hemoglobinopathies and Related Disorders 33

Danièlle Promé

84 papers receiving 1.7k citations

Peers

Danièlle Promé
Comparison fields: 5 of 95
  • Genetics 333
  • Cell Biology 307
  • Hematology 195
  • Agronomy and Crop Science 160
  • Biotechnology 134
Replace J. C. Promé with:
J. C. Promé France
Bernd Laber Germany
R. E. Worthington United States
Marion Sweeney United Kingdom
Gerrit Toennies United States
J.P. Kamerling Netherlands
S.M. Roberts United Kingdom
David Fahrney United States
Yukio Sugino Japan
Allan Matte Canada
Danièlle Promé relative to J. C. Promé France J. C. Promé's profile →
Citations per field
00.5×5.9×
J. C. Promé · 1×
Citations per year

Countries citing papers authored by Danièlle Promé

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Danièlle Promé Line = papers co-authored together Danièlle Promé links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992158
2 1992136
3 1994121
4 199986
5 200180
6 199465
7 199963
8 199158
9 199757
10 199545
11 199845
12 199943
13 199442
14 199935
15 199731
16 199831
17 199731
18 198730
19 199227
20 199027

About Danièlle Promé

Danièlle Promé is a scholar working on Cell Biology, Genetics, Molecular Biology, Spectroscopy and Plant Science, having authored 85 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), Mycobacterium research and diagnosis (7 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Genetics (333 citations), Cell Biology (307 citations), Hematology (195 citations), Agronomy and Crop Science (160 citations) and Biotechnology (134 citations). Danièlle Promé has collaborated with scholars based in France, United States and Luxembourg. Frequent co-authors include Jean‐Claude Promé, J. C. Promé, Henri Wajcman, F. Galactéros, Jean Rossier, Virginie Redeker, Ronald Melki, J. Riou, Steven G. Pueppke and Jean‐Pierre Le Caër. Their work appears in journals such as Journal of Biological Chemistry, Journal of the American Society for Mass Spectrometry, Biochemistry, 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.

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