Cheryl de Vallière

1.0k citations
28 papers · 786 indexed · h-index 15

Cheryl de Vallière

28 papers receiving 777 citations

Peers

Cheryl de Vallière
Comparison fields: 5 of 89
  • Physiology 32
  • Molecular Biology 470
  • Immunology 136
  • Cancer Research 96
  • Gastroenterology 34
Replace Jose Zavala‐Solorio with:
Jose Zavala‐Solorio United States
Winston Thomas United States
Kohei Wagatsuma Japan
Brady Barron United States
Marcelo Gustavo Binker Canada
John F. Di Mari United States
Bassam Abu‐Libdeh Israel
T Shigematsu Japan
Manuela D’Eletto Italy
Cheryl de Vallière relative to Jose Zavala‐Solorio United States Jose Zavala‐Solorio's profile →
Citations per field
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Jose Zavala‐Solorio · 1×
Citations per year

Countries citing papers authored by Cheryl de Vallière

Since Specialization
Citations

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

Fields of papers citing papers by Cheryl de Vallière

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheryl de Vallière. 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 Cheryl de Vallière. The network helps show where Cheryl de Vallière may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20244
4 20241
5 202220
6 202213
7 202125
8 20214
9 202040
10 201927
11 201817
12 20181
13 20177
14 2017255
15 201716
16 201639
17 201631
18 201571
19 201536
20 20124

About Cheryl de Vallière

Cheryl de Vallière is a scholar working on Gastroenterology, Surgery, Oncology, Molecular Biology and Neurology, having authored 28 papers that have together received 786 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (11 papers), Ion Transport and Channel Regulation (8 papers), Drug Transport and Resistance Mechanisms (7 papers), Sphingolipid Metabolism and Signaling (6 papers), Inflammatory Bowel Disease (4 papers), Gastroesophageal reflux and treatments (3 papers), Autophagy in Disease and Therapy (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Physiology (32 citations), Molecular Biology (470 citations), Immunology (136 citations), Cancer Research (96 citations) and Gastroenterology (34 citations). Cheryl de Vallière has collaborated with scholars based in Switzerland, Netherlands and Spain. Frequent co-authors include Gerhard Rogler, Pedro A. Ruiz, Martin Hausmann, Isabelle Frey‐Wagner, Jesús Cosín‐Roger, Hassan Melhem, Marianne R. Spalinger, Kirstin Atrott, Jonas Zeitz and Stephan R. Vavricka. Their work appears in journals such as Journal of Crohn s and Colitis, International Journal of Molecular Sciences, Inflammatory Bowel Diseases, Gastroenterology and Cellular and Molecular Gastroenterology and Hepatology.

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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