Danielle Chabard�s

636 citations
10 papers · 536 · h-index 7

Impact in

  • Nephrology top 5%
    • Parathyroid Disorders and Treatments
    • Ion Transport and Channel Regulation
    • Receptor Mechanisms and Signaling
    • Phosphodiesterase function and regulation

Papers in

    • Ion Transport and Channel Regulation 9
    • Receptor Mechanisms and Signaling 4
    • Protein Kinase Regulation and GTPase Signaling 1
    • Parathyroid Disorders and Treatments 2

Danielle Chabard�s

9 papers receiving 459 citations

Peers

Danielle Chabard�s
Comparison fields: 5 of 35
  • Nephrology 160
  • Molecular Biology 383
  • Biochemistry 20
  • Cellular and Molecular Neuroscience 28
  • Sensory Systems 9
Replace A. Clique with:
A. Clique France
Anselm Frick Germany
Shigeo Taniguchi Japan
Jeremiah J. Morrissey United States
Claire Bailly France
M Pullen
Susanne Berweck Germany
Z. Talor United States
Yun Lai Chan United States
Lester L.S. Mok United States
Danielle Chabard�s relative to A. Clique France A. Clique's profile →
Citations per field
00.5×1.5×
A. Clique · 1×
Citations per year

Countries citing papers authored by Danielle Chabard�s

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Chabard�s

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Chabard�s. 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 Danielle Chabard�s. The network helps show where Danielle Chabard�s may publish in the future.

Co-authors

The 10 scholars most cited alongside Danielle Chabard�s, 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 Danielle Chabard�s Line = papers co-authored together Danielle Chabard�s links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1975159
2 1975117
3 1975107
4 197571
5 198745
6 199315
7 199311
8 19936
9 19905
10 20150

About Danielle Chabard�s

Danielle Chabard�s is a scholar working on Molecular Biology, Nephrology, Physiology, Surgery and Pharmacology, having authored 10 papers that have together received 536 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (9 papers), Receptor Mechanisms and Signaling (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Parathyroid Disorders and Treatments (2 papers), Inflammatory mediators and NSAID effects (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Electrolyte and hormonal disorders (1 paper) and Renin-Angiotensin System Studies (1 paper). The work is most often cited by research in Nephrology (160 citations), Molecular Biology (383 citations), Biochemistry (20 citations), Cellular and Molecular Neuroscience (28 citations) and Sensory Systems (9 citations). Danielle Chabard�s has collaborated with scholars based in France. Frequent co-authors include Fran�ois Morel, Martine Imbert–Teboul, A. Clique, M. Montégut, Daniel Butlen, Sylvie Siaume‐Perez, Lotfi Aarab, Nina M. Griffiths, Suzanne M. Roseau and Ben A. Semmekrot. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology and Contributions to nephrology.

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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