Manfred Renz

4.4k total citations · 2 hit papers
48 papers, 3.5k citations indexed

About

Manfred Renz is a scholar working on Molecular Biology, Epidemiology and Rheumatology. According to data from OpenAlex, Manfred Renz has authored 48 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Epidemiology and 9 papers in Rheumatology. Recurrent topics in Manfred Renz's work include DNA and Nucleic Acid Chemistry (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Genomics and Chromatin Dynamics (7 papers). Manfred Renz is often cited by papers focused on DNA and Nucleic Acid Chemistry (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Genomics and Chromatin Dynamics (7 papers). Manfred Renz collaborates with scholars based in Germany, Italy and United States. Manfred Renz's co-authors include Diethard Tautz, Christina Kurz, Peter Nehls, John Hozier, H. P. Seelig, Loren A. Day, H. Ehrfeld, Rolf Müller, E. Genth and Ger J.M. Pruijn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.

In The Last Decade

Manfred Renz

45 papers receiving 3.2k citations

Hit Papers

Simple sequences are ubiquitous repetitive components of ... 1983 2026 1997 2011 1984 1983 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manfred Renz Germany 25 2.0k 839 825 314 308 48 3.5k
Joseph A. Sorge United States 31 3.2k 1.6× 502 0.6× 1.1k 1.3× 609 1.9× 493 1.6× 54 4.9k
Michael Dush United States 13 3.5k 1.7× 831 1.0× 822 1.0× 421 1.3× 246 0.8× 16 5.0k
Ken C. Reed Australia 19 1.8k 0.9× 498 0.6× 765 0.9× 215 0.7× 143 0.5× 31 3.0k
Е. Д. Свердлов Russia 19 2.5k 1.2× 1.2k 1.5× 697 0.8× 226 0.7× 187 0.6× 71 3.9k
John O. Bishop United Kingdom 43 3.4k 1.7× 422 0.5× 1.3k 1.6× 333 1.1× 460 1.5× 124 6.0k
G K McMaster Switzerland 16 1.8k 0.9× 418 0.5× 816 1.0× 140 0.4× 284 0.9× 19 3.2k
Francis Harper France 29 2.0k 1.0× 647 0.8× 380 0.5× 373 1.2× 1.2k 4.0× 61 3.9k
Klaus Bister Austria 39 2.7k 1.3× 488 0.6× 1.1k 1.3× 278 0.9× 400 1.3× 108 4.1k
Ennes A. Auerswald Germany 27 1.9k 0.9× 461 0.5× 724 0.9× 240 0.8× 195 0.6× 46 2.9k
H. Rubin United States 36 2.3k 1.1× 504 0.6× 1.1k 1.3× 520 1.7× 558 1.8× 109 4.7k

Countries citing papers authored by Manfred Renz

Since Specialization
Citations

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

Fields of papers citing papers by Manfred Renz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manfred Renz

This figure shows the co-authorship network connecting the top 25 collaborators of Manfred Renz. A scholar is included among the top collaborators of Manfred Renz 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 Manfred Renz. Manfred Renz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Raijmakers, Reinout, Manfred Renz, Wilma Vree Egberts, et al.. (2004). PM–Scl‐75 is the main autoantigen in patients with the polymyositis/scleroderma overlap syndrome. Arthritis & Rheumatism. 50(2). 565–569. 56 indexed citations
2.
Hofmann, Jörg, Manfred Renz, Sonja Meyer, Arndt von Haeseler, & Uwe G. Liebert. (2003). Phylogenetic analysis of rubella virus including new genotype I isolates. Virus Research. 96(1-2). 123–128. 15 indexed citations
3.
Hengstman, G.J.D., Reinout Raijmakers, Baziel G.M. van Engelen, et al.. (2001). Autoantibodies directed to novel components of the PM/Scl complex, the human exosome. Arthritis Research & Therapy. 4(2). 134–8. 72 indexed citations
4.
Schranz, Peter, Manfred Renz, R Seelig, & H. P. Seelig. (1999). Nucleotide sequence of a new HLA‐DQB1 allele, DQB1*03033. Tissue Antigens. 54(3). 310–311. 4 indexed citations
5.
Tibbetts, Randal S., et al.. (1998). TcDJ1, a putative mitochondrial DnaJ protein in Trypanosoma cruzi1. FEMS Microbiology Letters. 166(1). 141–146. 9 indexed citations
6.
Schranz, Peter, et al.. (1996). Nucleotide sequence of a newHLA-DPB1 allele, DPB1.02013. Immunogenetics. 44(2). 159–160. 5 indexed citations
7.
Schranz, Peter, R Seelig, Christian Seidl, & Manfred Renz. (1996). Nucleotide sequence of a newHLA-DRB1 * 11 allele (DRB1 * 1124). Immunogenetics. 43(4). 242–243. 3 indexed citations
8.
Seelig, H. P., et al.. (1995). The major dermatomyositis‐specific mi‐2 autoantigen is a presumed helicase involved in transcriptional activation. Arthritis & Rheumatism. 38(10). 1389–1399. 111 indexed citations
9.
Ehrfeld, H., Manfred Renz, K Hartung, H. Deicher, & H. P. Seelig. (1994). [Recombinant Ro-, La- and U1-n-RNP antigens: detection of autoantibodies with ELISA and clinical association in SLE].. PubMed. 88(7-8). 495–500. 1 indexed citations
10.
Hartung, K, et al.. (1994). [Genetic association of autoantibodies against recombinant antigens of the ENA group and cardiolipin in systemic lupus erythematosus (SLE)].. PubMed. 88(7-8). 491–4. 1 indexed citations
11.
Seelig, R, et al.. (1994). Hepatitis C Virus Infections in Dialysis Units: Prevalence of HCV-RNA and Antibodies to HCV. Annals of Medicine. 26(1). 45–52. 26 indexed citations
12.
Seelig, H. P., et al.. (1994). Macrogolgin—A New 376 kD Golgi Complex Outer Membrane Protein as Target of Antibodies in Patients with Rheumatic Disease and HIV Infections. Journal of Autoimmunity. 7(1). 67–91. 60 indexed citations
13.
Seelig, H. P., H. Ehrfeld, & Manfred Renz. (1994). Interferon‐γ–inducible protein p16. a new target of antinuclear antibodies in patients with systemic lupus erythematosus. Arthritis & Rheumatism. 37(11). 1672–1683. 48 indexed citations
14.
Seelig, H. P., et al.. (1993). Autoantibodies against topoisomerase I detected with the natural enzyme and overlapping recombinant peptides. Journal of Immunological Methods. 165(2). 241–252. 13 indexed citations
15.
Seelig, R, et al.. (1993). Anti-LKM-1 antibodies determined by use of recombinant P450 2D6 in ELISA and Western blot and their association with anti-HCV and HCV-RNA. Clinical & Experimental Immunology. 92(3). 373–380. 25 indexed citations
16.
Ehrfeld, H., K Hartung, Manfred Renz, et al.. (1992). MHC associations of autoantibodies against recombinant Ro and La proteins in systemic lupus erythematosus. Rheumatology International. 12(5). 169–173. 10 indexed citations
17.
Seelig, H. P., et al.. (1991). A recombinant 70K protein ELISA. Journal of Immunological Methods. 143(1). 11–24. 8 indexed citations
18.
Czichos, Joachim, Martin Köhler, Bernd Reckmann, & Manfred Renz. (1989). Protein-DNA conjugates produced by UV irradiation and their use as probes for hybridization. Nucleic Acids Research. 17(4). 1563–1572. 14 indexed citations
20.
Tautz, Diethard & Manfred Renz. (1984). Simple sequences are ubiquitous repetitive components of eukaryotic genomes. Nucleic Acids Research. 12(10). 4127–4138. 1062 indexed citations breakdown →

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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