Diane Gingras

28 papers receiving 1.3k citations

Peers

Diane Gingras
Comparison fields: 5 of 110
  • Endocrine and Autonomic Systems 104
  • Structural Biology 22
  • Parasitology 89
  • Virology 59
  • Epidemiology 366
Replace M. Díaz-Llopis with:
M. Díaz-Llopis Spain
Jörg Heeren Germany
Hein P. J. te Riele Netherlands
Hassan Dihazi Germany
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Kasturi Mitra United States
Ole Sonne Denmark
Miriam Galvonas Jasiulionis Brazil
Carol E. Jones United Kingdom
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Citations per year

Countries citing papers authored by Diane Gingras

Since Specialization
Citations

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

Fields of papers citing papers by Diane Gingras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009376
2 2006182
3 200480
4 199474
5 200572
6 200866
7 198964
8 198949
9 200346
10
Studies on pancreatic acinar cells in tissue culture: basal lamina (basement membrane matrix promotes three-dimensional reorganization.
198642
11 200540
12 198634
13 201734
14 200129
15 202227
16 200725
17 200620
18
Poly-L-lysine-gold probe for the detection of anionic sites in normal glomeruli and in idiopathic and experimentally-induced nephrosis. A comparative ultrastructural study.
199316
19 201014
20 199413

About Diane Gingras

Diane Gingras is a scholar working on Molecular Biology, Surgery, Cell Biology, Epidemiology and Nutrition and Dietetics, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Biochemical Analysis and Sensing Techniques (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Advanced Glycation End Products research (3 papers), Regulation of Appetite and Obesity (3 papers), Cell Adhesion Molecules Research (3 papers), Chronic Kidney Disease and Diabetes (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (104 citations), Structural Biology (22 citations), Parasitology (89 citations), Virology (59 citations) and Epidemiology (366 citations). Diane Gingras has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Moı̈se Bendayan, M Bendayan, Patrick T. Ronaldson, Reina Bendayan, Philippe Cammisotto, Roger Lippé, Irene Londoño, David A. Leib, Magali Chemali and Michel Desjardins. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Diabetologia, American Journal of Physiology-Gastrointestinal and Liver Physiology, Journal of Neurochemistry and Journal of Virology.

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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