Diane Gingras

28 papers receiving 1.3k citations

Peers

Diane Gingras
Comparison fields: 5 of 106
  • Endocrine and Autonomic Systems 116
  • Structural Biology 20
  • Parasitology 91
  • Virology 61
  • Physiology 49
Replace M. Díaz-Llopis with:
M. Díaz-Llopis Spain
Jörg Heeren Germany
Hassan Dihazi Germany
Joel S. Riley United Kingdom
Kasturi Mitra United States
Pamela L. Tuma United States
A E Clark United Kingdom
Miriam Galvonas Jasiulionis Brazil
Amy M.L. Ng Canada
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Citations per field
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M. Díaz-Llopis · 1×
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 2009356
2 2006164
3 200474
4 199471
5 200570
6 200865
7 198957
8 200345
9 200540
10
Studies on pancreatic acinar cells in tissue culture: basal lamina (basement membrane matrix promotes three-dimensional reorganization.
198639
11 198939
12 198633
13 201731
14 200128
15 200725
16 202224
17 200619
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 199212

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 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Biochemical Analysis and Sensing Techniques (4 papers), Cell Adhesion Molecules Research (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Advanced Glycation End Products research (3 papers), Regulation of Appetite and Obesity (3 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (116 citations), Structural Biology (20 citations), Parasitology (91 citations), Virology (61 citations) and Physiology (49 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, Diane Alexander, Luc English and Magali Chemali. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Diabetologia, American Journal of Physiology-Gastrointestinal and Liver Physiology, Journal of Neurochemistry and Cell Death and Disease.

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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