J. Sartorius

651 total citations
11 papers, 561 citations indexed

About

J. Sartorius is a scholar working on Molecular Biology, Ecology and Oncology. According to data from OpenAlex, J. Sartorius has authored 11 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Oncology. Recurrent topics in J. Sartorius's work include Bacteriophages and microbial interactions (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). J. Sartorius is often cited by papers focused on Bacteriophages and microbial interactions (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). J. Sartorius collaborates with scholars based in Germany, Italy and United States. J. Sartorius's co-authors include B. von Wilcken‐Bergmann, Benno Müller‐Hill, Norbert Lehming, Brigitte Kisters–Woike, Stefan Oehler, Hans‐Jörg Schneider, Rainer Neumann, H.‐J. Schneider, W. David Wilson and Christian M. Kurbacher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The EMBO Journal.

In The Last Decade

J. Sartorius

11 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Sartorius Germany 10 443 205 95 49 46 11 561
ALAN D. B. MALCOLM United Kingdom 15 420 0.9× 106 0.5× 39 0.4× 63 1.3× 23 0.5× 65 587
Kazumasa Ohtake Japan 14 678 1.5× 133 0.6× 70 0.7× 43 0.9× 74 1.6× 20 765
James Wells United States 5 646 1.5× 102 0.5× 88 0.9× 21 0.4× 68 1.5× 6 815
H Pelletier France 10 684 1.5× 116 0.6× 153 1.6× 37 0.8× 29 0.6× 16 879
Katherine E. McAuley-Hecht United Kingdom 10 784 1.8× 94 0.5× 59 0.6× 68 1.4× 61 1.3× 11 881
Daniel J. Krosky United States 13 481 1.1× 84 0.4× 47 0.5× 32 0.7× 66 1.4× 20 574
Lester J. Lambert United States 12 396 0.9× 100 0.5× 73 0.8× 73 1.5× 38 0.8× 20 525
E.M. Duguid United States 10 727 1.6× 137 0.7× 75 0.8× 44 0.9× 61 1.3× 13 906
John Hachmann United States 13 514 1.2× 75 0.4× 42 0.4× 27 0.6× 108 2.3× 23 666
Mark Safro Israel 20 1.2k 2.7× 206 1.0× 55 0.6× 28 0.6× 28 0.6× 48 1.3k

Countries citing papers authored by J. Sartorius

Since Specialization
Citations

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

Fields of papers citing papers by J. Sartorius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Sartorius

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

All Works

11 of 11 papers shown
1.
Rein, Daniel, Marion Riffelmann, Rainer Neumann, et al.. (2006). Anticancer drugs induce mdr1 gene expression in recurrent ovarian cancer. Anti-Cancer Drugs. 17(9). 1041–1044. 41 indexed citations
2.
Schöndorf, Thomas, Rainer Neumann, C Benz, et al.. (2003). Cisplatin, Doxorubicin and Paclitaxel Induce mdr1 Gene Transcription in Ovarian Cancer Cell Lines. Recent results in cancer research. 161. 111–116. 34 indexed citations
3.
Schöndorf, Thomas, Christian M. Kurbacher, Uwe-Jochen Göhring, et al.. (2002). Induction of MDR1-gene expression by antineoplastic agents in ovarian cancer cell lines.. PubMed. 22(4). 2199–203. 42 indexed citations
4.
Schöndorf, Thomas, Rainer Neumann, C Benz, et al.. (2001). Antineoplastic agents induce mdr1-gene expression in ovarian cancer cell lines. Anti-Cancer Drugs. 12(8). A10–A10. 1 indexed citations
5.
Schneider, Hans‐Jörg, et al.. (1996). A Cationic Cyclophane That Forms a Base-Pair Open Complex with RNA Duplexes. Journal of the American Chemical Society. 118(20). 4739–4745. 46 indexed citations
6.
Sartorius, J. & H.‐J. Schneider. (1995). NMR‐titrations with complexes between ds‐DNA and indole derivatives including tryptophane containing peptides. FEBS Letters. 374(3). 387–392. 24 indexed citations
7.
Lehming, Norbert, J. Sartorius, Brigitte Kisters–Woike, B. von Wilcken‐Bergmann, & Benno Müller‐Hill. (1990). Mutant lac repressors with new specificities hint at rules for protein--DNA recognition.. The EMBO Journal. 9(3). 615–621. 96 indexed citations
8.
9.
Lehming, Norbert, J. Sartorius, Stefan Oehler, B. von Wilcken‐Bergmann, & Benno Müller‐Hill. (1988). Recognition helices of lac and lambda repressor are oriented in opposite directions and recognize similar DNA sequences.. Proceedings of the National Academy of Sciences. 85(21). 7947–7951. 64 indexed citations
10.
Lehming, Norbert, et al.. (1987). The interaction of the recognition helix of lac repressor with lac operator.. The EMBO Journal. 6(10). 3145–3153. 128 indexed citations
11.
Wilcken‐Bergmann, B. von, et al.. (1986). A synthetic operon containing 14 bovine pancreatic trypsin inhibitor genes is expressed in E. coli.. The EMBO Journal. 5(12). 3219–3225. 30 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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