Franck Duong

3.6k citations
67 papers · 2.5k indexed · h-index 27

Impact in

Papers in

Franck Duong

64 papers receiving 2.5k citations

Peers

Franck Duong
Comparison fields: 5 of 103
  • Endocrinology 251
  • Molecular Medicine 222
  • Genetics 1.2k
  • Structural Biology 46
  • Molecular Biology 2.0k
Replace Spyridoula Karamanou with:
Spyridoula Karamanou Belgium
Ian Collinson United Kingdom
Linda L. Randall United States
James L. Keck United States
Albert E. Dahĺberg United States
Sylvie Doublié United States
Vladimir Svetlov United States
T.H. Tahirov United States
U.A. Ramagopal United States
Jeffrey W. Roberts United States
Franck Duong relative to Spyridoula Karamanou Belgium Spyridoula Karamanou's profile →
Citations per field
00.5×2.6×
Spyridoula Karamanou · 1×
Citations per year

Countries citing papers authored by Franck Duong

Since Specialization
Citations

This map shows the geographic impact of Franck Duong'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 Franck Duong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franck Duong more than expected).

Fields of papers citing papers by Franck Duong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Franck Duong. 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 Franck Duong. The network helps show where Franck Duong may publish in the future.

Co-authors

The 25 scholars most cited alongside Franck Duong, 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 Franck Duong Line = papers co-authored together Franck Duong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20245
5 20241
6 20239
7 20226
8 202057
9 20193
10 201950
11 20199
12 201610
13 20163
14 201320
15 201119
16 201025
17 200657
18 200452
19 2003111
20 199199

About Franck Duong

Franck Duong is a scholar working on Molecular Medicine, Genetics, Endocrinology, Molecular Biology and Spectroscopy, having authored 67 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (27 papers), Bacterial Genetics and Biotechnology (26 papers), Drug Transport and Resistance Mechanisms (14 papers), Bacteriophages and microbial interactions (10 papers), Lipid Membrane Structure and Behavior (9 papers), Antibiotic Resistance in Bacteria (9 papers), Advanced Proteomics Techniques and Applications (8 papers) and Mass Spectrometry Techniques and Applications (6 papers). The work is most often cited by research in Endocrinology (251 citations), Molecular Medicine (222 citations), Genetics (1.2k citations), Structural Biology (46 citations) and Molecular Biology (2.0k citations). Franck Duong has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Kush Dalal, Huan Bao, Maryse Murgier, Antoine Maillard, William Wickner, Ian Collinson, Albert Price, A. Lazdunski, Vicki A. M. Gold and Stephen G. Sligar. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal, Journal of Proteome Research, eLife and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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