D. Lefranc

558 citations
16 papers · 350 · h-index 9

Impact in

  • Physiology top 10%
    • Alzheimer's disease research and treatments
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism

Papers in

D. Lefranc

14 papers receiving 334 citations

Peers

D. Lefranc
Comparison fields: 5 of 53
  • Physiology 197
  • Neurology 63
  • Neurology 88
  • Biological Psychiatry 8
  • Cellular and Molecular Neuroscience 57
Replace Hideomi Hamasaki with:
Hideomi Hamasaki Japan
Enji Zhang South Korea
Jayashree Viswanathan Finland
Tomasz Sobów Poland
Christina E. Murray United Kingdom
Erica Barini United Kingdom
Natasha Deters Australia
R Kalaria United States
Zan-Chao Liu China
Nobuhito Murai Japan
D. Lefranc relative to Hideomi Hamasaki Japan Hideomi Hamasaki's profile →
Citations per field
00.5×1.5×
Hideomi Hamasaki · 1×
Citations per year

Countries citing papers authored by D. Lefranc

Since Specialization
Citations

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

Fields of papers citing papers by D. Lefranc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1997105
2 199766
3 199946
4 200134
5 201030
6 200317
7 201416
8 200912
9 200911
10 20015
11 20023
12 20103
13 20121
14 20091
15 20230
16 20160

About D. Lefranc

D. Lefranc is a scholar working on Molecular Biology, Physiology, Immunology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 350 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Genetic Neurodegenerative Diseases (3 papers), Multiple Sclerosis Research Studies (3 papers), Adrenal Hormones and Disorders (2 papers), Glycosylation and Glycoproteins Research (1 paper), Diabetes and associated disorders (1 paper), Amino Acid Enzymes and Metabolism (1 paper) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Physiology (197 citations), Neurology (63 citations), Neurology (88 citations), Biological Psychiatry (8 citations) and Cellular and Molecular Neuroscience (57 citations). D. Lefranc has collaborated with scholars based in France, United Kingdom and Brazil. Frequent co-authors include Patrick Vermersch, Nicolas Sergeant, A. Wattez, André Delacourte, Jean‐Philippe David, Sylvain Dubucquoi, Lionel Prin, de Sèze, Michel Goedert and Luc Buée. Their work appears in journals such as Journal of Neuroimmunology, Neuroreport, Hormone Research in Paediatrics, Biochemical and Biophysical Research Communications and Multiple Sclerosis Journal.

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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