Caroline Duc

25 papers receiving 866 citations

Peers

Caroline Duc
Comparison fields: 5 of 89
  • Bioengineering 76
  • Developmental Neuroscience 42
  • Polymers and Plastics 133
  • Cellular and Molecular Neuroscience 153
  • Immunology and Allergy 44
Replace Faming Tian with:
Faming Tian China
Francesco Lodola Italy
Honghai Zhang China
Songtao Xie China
Shunsuke Ito Japan
Chaejeong Heo South Korea
Heechul Kim South Korea
Christopher C. Matthews United States
Luis Polo‐Parada United States
Caroline Duc relative to Faming Tian China Faming Tian's profile →
Citations per field
00.5×8.4×
Faming Tian · 1×
Citations per year

Countries citing papers authored by Caroline Duc

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Duc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994318
2 1991132
3 201662
4 202055
5 202042
6
[Spontaneous intracranial hypotension syndrome].
199636
7 200129
8 200627
9 201827
10 199226
11 202125
12 202019
13 202115
14 202311
15 19979
16 20249
17 20038
18 20177
19 20217
20 20243

About Caroline Duc

Caroline Duc is a scholar working on Biomedical Engineering, Bioengineering, Electrical and Electronic Engineering, Polymers and Plastics and Molecular Biology, having authored 27 papers that have together received 875 indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (10 papers), Gas Sensing Nanomaterials and Sensors (9 papers), Advanced Chemical Sensor Technologies (9 papers), Conducting polymers and applications (8 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Advanced MRI Techniques and Applications (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Urologic and reproductive health conditions (1 paper). The work is most often cited by research in Bioengineering (76 citations), Developmental Neuroscience (42 citations), Polymers and Plastics (133 citations), Cellular and Molecular Neuroscience (153 citations) and Immunology and Allergy (44 citations). Caroline Duc has collaborated with scholars based in France, Switzerland and Brazil. Frequent co-authors include Bernard C. Rossier, J. P. Bonvalet, Cecilia M. Canessa, Nicolette Farman, Markus A. Rüegg, Esther T. Stoeckli, Thomas B. Kuhn, P. Sonderegger, Nathalie Redon and Alexis Vlandas. Their work appears in journals such as Sensors, Synthetic Metals, The Journal of Cell Biology, The Journal of Physical Chemistry B and International Journal of Gynecological Cancer.

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.

Explore authors with similar magnitude of impact