H. Stappert

528 citations
7 papers · 443 · h-index 4

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
    • Cell Adhesion Molecules Research

Papers in

H. Stappert

7 papers receiving 436 citations

Peers

H. Stappert
Comparison fields: 5 of 47
  • Immunology 308
  • Immunology and Allergy 55
  • Radiology, Nuclear Medicine and Imaging 168
  • Genetics 32
  • Molecular Biology 141
Replace Nancy H. Jones with:
Nancy H. Jones United States
Christophe Teillaud France
L J Jarvis United States
William C. Bartlett United States
M. Shapiro United States
Yulia Katsman Canada
Aldo Gasparollo Italy
Marguerite Ragueneau France
Carina Olsson Switzerland
Sophie Duchez France
H. Stappert relative to Nancy H. Jones United States Nancy H. Jones's profile →
Citations per field
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Citations per year

Countries citing papers authored by H. Stappert

Since Specialization
Citations

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

Fields of papers citing papers by H. Stappert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside H. Stappert, 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 H. Stappert Line = papers co-authored together H. Stappert links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1990340
2 200763
3 199028
4 20087
5
Molecular components of the B-cell antigen receptor complex of the IgM class. 1990.
20093
6
Oligonucleotide Microarray Based Expression Analysis of the Cpfl1 Mutant - a Mouse Model of Cone and Cone-Rod Dystrophies
20071
7 20091

About H. Stappert

H. Stappert is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cellular and Molecular Neuroscience and Neurology, having authored 7 papers that have together received 443 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Genomic variations and chromosomal abnormalities (1 paper), RNA modifications and cancer (1 paper), Nerve injury and regeneration (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Immunology (308 citations), Immunology and Allergy (55 citations), Radiology, Nuclear Medicine and Imaging (168 citations), Genetics (32 citations) and Molecular Biology (141 citations). H. Stappert has collaborated with scholars based in Germany and United States. Frequent co-authors include Michael Reth, Lise Leclercq, Joachim Hombach, Takeshi Tsubata, Brigitte Müller, H. Heilbronner, Marina de Nadai Bonin Gomes, Ulrike A. Mau‐Holzmann, Andreas Dufke and Michael H. Walter. Their work appears in journals such as Investigative Ophthalmology & Visual Science, The Journal of Immunology, Nature, Brain Research and Cytogenetic and Genome Research.

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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