Marie‐Thérèse Auffredou

449 citations
20 papers · 387 indexed · h-index 11

Marie‐Thérèse Auffredou

20 papers receiving 367 citations

Peers

Marie‐Thérèse Auffredou
Comparison fields: 5 of 75
  • Immunology 131
  • Oncology 98
  • Molecular Biology 181
  • Nutrition and Dietetics 38
  • Genetics 26
Replace Jianfen Lu with:
Jianfen Lu United States
H. Rosenbaum United States
Meiheng Yang United States
J Wyczółkowska Poland
S. Majewski Poland
Zhi-Ren Liu United States
A Yen United States
Andreas Dieckmann Switzerland
Ajoy Kumar Samraj Germany
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Marie‐Thérèse Auffredou

Since Specialization
Citations

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

Fields of papers citing papers by Marie‐Thérèse Auffredou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Thérèse Auffredou. 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 Marie‐Thérèse Auffredou. The network helps show where Marie‐Thérèse Auffredou may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201010
2 20094
3 20085
4 200027
5 199949
6 199957
7
Characterization of transforming growth factor-beta 1 induced apoptosis in normal human B cells and lymphoma B cell lines.
199575
8 199512
9 19941
10 19939
11 199130
12 199011
13 19877
14 198615
15 198613
16 198527
17
Specificity of antibodies to heterologous glomerular and tubular basement membranes in various strains of mice with different H-2 types.
19817
18
Specificity of antibodies to heterologous glomerular and tubular basement membranes in BALB/c mice.
19797
19 197918
20 19763

About Marie‐Thérèse Auffredou

Marie‐Thérèse Auffredou is a scholar working on Immunology, Oncology, Sensory Systems, Cancer Research and Molecular Biology, having authored 20 papers that have together received 387 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cancer-related Molecular Pathways (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), NF-κB Signaling Pathways (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Immunology (131 citations), Oncology (98 citations), Molecular Biology (181 citations), Nutrition and Dietetics (38 citations) and Genetics (26 citations). Marie‐Thérèse Auffredou has collaborated with scholars based in France, Switzerland and Belgium. Frequent co-authors include Dominique Blanchard, Gérald Leca, Aimé Vázquez, A Vazquez, Nicolas Schrantz, P Galanaud, Leandros Arvanitakis, Pierre Galanaud, Surendra Sharma and J. -P. Gerard. Their work appears in journals such as The Journal of Immunology, Oncogene, European Journal of Immunology, Journal of Biological Chemistry and APOPTOSIS.

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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