Karlfried R. Aupperle

1.3k total citations
16 papers, 1.1k citations indexed

About

Karlfried R. Aupperle is a scholar working on Rheumatology, Molecular Biology and Cancer Research. According to data from OpenAlex, Karlfried R. Aupperle has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Rheumatology, 5 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Karlfried R. Aupperle's work include Rheumatoid Arthritis Research and Therapies (9 papers), NF-κB Signaling Pathways (5 papers) and Virus-based gene therapy research (3 papers). Karlfried R. Aupperle is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (9 papers), NF-κB Signaling Pathways (5 papers) and Virus-based gene therapy research (3 papers). Karlfried R. Aupperle collaborates with scholars based in United States, Germany and Switzerland. Karlfried R. Aupperle's co-authors include Gary S. Firestein, David L. Boyle, Brydon L. Bennett, Anthony M. Manning, Zuoning Han, Nathan J. Zvaifler, Renate E. Gay, Steffen Gay, Katherine Nguyen and Michele Yeo and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Karlfried R. Aupperle

16 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Karlfried R. Aupperle United States	13	483	396	338	302	293	16	1.1k
Christina Wunrau Germany	6	339 0.7×	339 0.9×	188 0.6×	161 0.5×	101 0.3×	12	777
Jack Hutcheson United States	22	246 0.5×	461 1.2×	654 1.9×	303 1.0×	128 0.4×	37	1.3k
Leo Albert United States	11	173 0.4×	193 0.5×	472 1.4×	265 0.9×	100 0.3×	17	1.1k
Amer M. Mirza United States	16	110 0.2×	572 1.4×	334 1.0×	316 1.0×	90 0.3×	32	1.3k
Jean‐Marie Cloutier Canada	15	721 1.5×	242 0.6×	101 0.3×	178 0.6×	204 0.7×	16	1.2k
Marijke Fràter‐Schröder Switzerland	10	146 0.3×	637 1.6×	175 0.5×	111 0.4×	237 0.8×	26	1.0k
D. Brackertz Germany	14	325 0.7×	136 0.3×	286 0.8×	140 0.5×	76 0.3×	37	830
Scot Middleton United States	13	221 0.5×	387 1.0×	133 0.4×	176 0.6×	51 0.2×	15	770
Chie Miyabe Japan	16	227 0.5×	277 0.7×	309 0.9×	137 0.5×	31 0.1×	34	882
Hiroyuki Eda Japan	17	75 0.2×	409 1.0×	195 0.6×	347 1.1×	185 0.6×	37	994

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

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16 of 16 papers shown

1.

Smiljanovic, Biljana, Andreas Grützkau, Joachim R. Grün, et al.. (2020). Synovial tissue transcriptomes of long-standing rheumatoid arthritis are dominated by activated macrophages that reflect microbial stimulation. Scientific Reports. 10(1). 7907–7907. 22 indexed citations

2.

Smiljanovic, Biljana, Anna Radzikowska, Ewa Kuca‐Warnawin, et al.. (2017). Monocyte alterations in rheumatoid arthritis are dominated by preterm release from bone marrow and prominent triggering in the joint. Annals of the Rheumatic Diseases. 77(2). 300–308. 66 indexed citations

3.

Smiljanovic, Biljana, Anna Radzikowska, Ewa Kuca‐Warnawin, et al.. (2017). 05.08 Increased turnover of monocytes in patients with rheumatoid arthritis identified by transcriptome and cytometric profiling. Annals of the Rheumatic Diseases. 76. A55–A55. 1 indexed citations

4.

Enghard, Philipp, Jan Klocke, Reinmar Undeutsch, et al.. (2013). Urinary CD4 T cells identify SLE patients with proliferative lupus nephritis and can be used to monitor treatment response. Annals of the Rheumatic Diseases. 73(1). 277–283. 57 indexed citations

5.

McGonagle, Dennis, Anne Bruns, Sandra Philipp, et al.. (2013). Characterisation of hand small joints arthropathy using high-resolution MRI—Limited discrimination between osteoarthritis and psoriatic arthritis. European Radiology. 23(6). 1686–1693. 30 indexed citations

6.

Aupperle, Karlfried R., Brydon L. Bennett, Zuoning Han, et al.. (2001). NF-κB Regulation by IκB Kinase-2 in Rheumatoid Arthritis Synoviocytes. The Journal of Immunology. 166(4). 2705–2711. 113 indexed citations

7.

Pap, Thomas, Karlfried R. Aupperle, Steffen Gay, Gary S. Firestein, & Renate E. Gay. (2001). Invasiveness of synovial fibroblasts is regulated by p53 in the SCID mouse in vivo model of cartilage invasion. Arthritis & Rheumatism. 44(3). 676–681. 90 indexed citations

8.

Pap, Thomas, Karlfried R. Aupperle, Steffen Gay, Gary S. Firestein, & Renate E. Gay. (2001). Invasiveness of synovial fibroblasts is regulated by p53 in the SCID mouse in vivo model of cartilage invasion. Arthritis & Rheumatism. 44(3). 676–681. 8 indexed citations

9.

Aupperle, Karlfried R., Yuji Yamanishi, Brydon L. Bennett, et al.. (2001). Expression and Regulation of Inducible IκB Kinase (IKK-i) in Human Fibroblast-like Synoviocytes. Cellular Immunology. 214(1). 54–59. 33 indexed citations

10.

Pap, Thomas, W.H. van der Laan, Karlfried R. Aupperle, et al.. (2000). Modulation of fibroblast-mediated cartilage degradation by articular chondrocytes in rheumatoid arthritis. Arthritis & Rheumatism. 43(11). 2531–2536. 52 indexed citations

11.

Aupperle, Karlfried R., Brydon L. Bennett, David L. Boyle, et al.. (1999). NF-kappa B regulation by I kappa B kinase in primary fibroblast-like synoviocytes.. PubMed. 163(1). 427–33. 90 indexed citations

12.

Aupperle, Karlfried R., Brydon L. Bennett, David L. Boyle, et al.. (1999). NF-κB Regulation by IκB Kinase in Primary Fibroblast-Like Synoviocytes. The Journal of Immunology. 163(1). 427–433. 87 indexed citations

13.

Han, Zuoning, David L. Boyle, Karlfried R. Aupperle, et al.. (1999). Jun N-Terminal Kinase in Rheumatoid Arthritis. Journal of Pharmacology and Experimental Therapeutics. 291(1). 124–130. 140 indexed citations

14.

Aupperle, Karlfried R., David L. Boyle, Mary J.C. Hendrix, et al.. (1998). Regulation of synoviocyte proliferation, apoptosis, and invasion by the p53 tumor suppressor gene.. PubMed. 152(4). 1091–8. 113 indexed citations

15.

Firestein, Gary S., et al.. (1996). Apoptosis in rheumatoid arthritis: p53 overexpression in rheumatoid arthritis synovium.. PubMed. 149(6). 2143–51. 148 indexed citations

16.

Aupperle, Karlfried R., S Alsalameh, Karsten Stock, Gerd R Burmester, & J. R. Kalden. (1996). [Comparison of rheumatoid test procedures--value and critical interpretation of sensitivity and specificity and their effect on pre-test and post-test probability].. PubMed. 55(3). 158–67. 3 indexed citations

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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