Karlfried R. Aupperle

1.3k citations
16 papers · 1.1k indexed · h-index 13
Topics
Rheumatoid Arthritis Research and Therapies (9 papers)NF-κB Signaling Pathways (5 papers)Virus-based gene therapy research (3 papers)

In The Last Decade

Karlfried R. Aupperle

16 papers receiving 1.0k citations

Peers

Karlfried R. Aupperle
Comparison fields: 5 of 78
  • Rheumatology 483
  • Molecular Biology 396
  • Immunology 338
  • Oncology 302
  • Cancer Research 293
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Citations per field
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Citations per year

Countries citing papers authored by Karlfried R. Aupperle

Since Specialization
Citations

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

Fields of papers citing papers by Karlfried R. Aupperle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karlfried R. Aupperle. 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 Karlfried R. Aupperle. The network helps show where Karlfried R. Aupperle may publish in the future.

Co-authorship network of co-authors of Karlfried R. Aupperle

This figure shows the co-authorship network connecting the top 25 collaborators of Karlfried R. Aupperle. A scholar is included among the top collaborators of Karlfried R. Aupperle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karlfried R. Aupperle. Karlfried R. Aupperle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 22
2 66
3 1
4 57
5 30
6 113
7 33
8 90
9 8
10 52
11 87
12
NF-kappa B regulation by I kappa B kinase in primary fibroblast-like synoviocytes.
90
13 140
14
Regulation of synoviocyte proliferation, apoptosis, and invasion by the p53 tumor suppressor gene.
113
15
Apoptosis in rheumatoid arthritis: p53 overexpression in rheumatoid arthritis synovium.
148
16
[Comparison of rheumatoid test procedures--value and critical interpretation of sensitivity and specificity and their effect on pre-test and post-test probability].
3

About Karlfried R. Aupperle

Karlfried R. Aupperle is a scholar working on Rheumatology, Cancer Research and Immunology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (9 papers), NF-κB Signaling Pathways (5 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Rheumatology (483 citations), Cancer Research (293 citations) and Immunology (338 citations). Karlfried R. Aupperle has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Gary S. Firestein, David L. Boyle, Brydon L. Bennett, Anthony M. Manning, Zuoning Han, Nathan J. Zvaifler, Steffen Gay, Renate E. Gay, Michele Yeo and Katherine Nguyen. Their work appears in journals such as The Journal of Immunology, Scientific Reports and Journal of Pharmacology and Experimental Therapeutics.

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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