M. Duval

765 citations
19 papers · 605 · h-index 14

Impact in

Papers in

M. Duval

19 papers receiving 561 citations

Peers

M. Duval
Comparison fields: 5 of 90
  • Pharmaceutical Science 112
  • Analytical Chemistry 88
  • Fluid Flow and Transfer Processes 46
  • Gastroenterology 36
  • Physical and Theoretical Chemistry 46
Replace Noriyuki Muranushi with:
Noriyuki Muranushi Japan
J.J. Vallner United States
Rajesh Gandhi United States
F. Hirayama Japan
A. Martin United States
Liam C. Feely United Kingdom
Doo‐Man Oh United States
David C. Sperry United States
Toshiya Moriwaki Japan
Nobutoshi Watari Japan
M. Duval relative to Noriyuki Muranushi Japan Noriyuki Muranushi's profile →
Citations per field
00.5×4.2×
Noriyuki Muranushi · 1×
Citations per year

Countries citing papers authored by M. Duval

Since Specialization
Citations

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

Fields of papers citing papers by M. Duval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 198580
2 198765
3 198558
4 198546
5 198746
6 199645
7 198945
8 201043
9 197534
10 198431
11 200128
12 199824
13
Influence of glucagon on canalicular bile production in the dog.
197424
14 198716
15 20246
16 20026
17 19784
18 20003
19 20201

About M. Duval

M. Duval is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Analytical Chemistry, Molecular Biology and Pharmaceutical Science, having authored 19 papers that have together received 605 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (4 papers), Drug Solubulity and Delivery Systems (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Pediatric Pain Management Techniques (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Adolescent and Pediatric Healthcare (1 paper), Diabetes Management and Research (1 paper) and Optical Imaging and Spectroscopy Techniques (1 paper). The work is most often cited by research in Pharmaceutical Science (112 citations), Analytical Chemistry (88 citations), Fluid Flow and Transfer Processes (46 citations), Gastroenterology (36 citations) and Physical and Theoretical Chemistry (46 citations). M. Duval has collaborated with scholars based in France, United States and Canada. Frequent co-authors include M. Benmouna, J. Godbillon, Rédouane Borsali, H. Benoît, J J Bernier, J Hirtz, Ziya Akcasu, N Vidon, D Evard and Antoine Cortot. Their work appears in journals such as Macromolecules, British Journal of Clinical Pharmacology, Leukemia, ESMO Open and Journal of Polymer Science Part B Polymer Physics.

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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