H. Stappert

528 citations
8 papers · 471 · 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

8 papers receiving 460 citations

Peers

H. Stappert
Comparison fields: 5 of 49
  • Immunology 324
  • Immunology and Allergy 57
  • Radiology, Nuclear Medicine and Imaging 176
  • Genetics 31
  • Molecular Biology 148
Replace Christophe Teillaud with:
Christophe Teillaud France
L J Jarvis United States
M. Shapiro United States
A Weiss United States
Marguerite Ragueneau France
Yulia Katsman Canada
Cyril Honsik United States
Peter Borgulya Switzerland
H. Kihara United States
Sophie Duchez France
H. Stappert relative to Christophe Teillaud France Christophe Teillaud's profile →
Citations per field
00.5×
Christophe Teillaud · 1×
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

8 of 8 papers shown
#Work
1 1990358
2 200767
3 199033
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
8 19891

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 8 papers that have together received 471 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cell Adhesion Molecules Research (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Nuclear Receptors and Signaling (1 paper), Telomeres, Telomerase, and Senescence (1 paper) and Prenatal Screening and Diagnostics (1 paper). The work is most often cited by research in Immunology (324 citations), Immunology and Allergy (57 citations), Radiology, Nuclear Medicine and Imaging (176 citations), Genetics (31 citations) and Molecular Biology (148 citations). H. Stappert has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Michael Reth, Joachim Hombach, Takeshi Tsubata, Lise Leclercq, Brigitte Müller, H. Heilbronner, Andreas Dufke, I. Tekesin, Kay Nieselt and Ulrike A. Mau‐Holzmann. Their work appears in journals such as Cytogenetic and Genome Research, The Journal of Immunology, European Journal of Immunology, Brain Research and Nature.

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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