Anita Schultz

1.1k total citations
25 papers, 892 citations indexed

About

Anita Schultz is a scholar working on Molecular Biology, Genetics and Organic Chemistry. According to data from OpenAlex, Anita Schultz has authored 25 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Organic Chemistry. Recurrent topics in Anita Schultz's work include Bacterial Genetics and Biotechnology (8 papers), RNA and protein synthesis mechanisms (7 papers) and Phosphodiesterase function and regulation (7 papers). Anita Schultz is often cited by papers focused on Bacterial Genetics and Biotechnology (8 papers), RNA and protein synthesis mechanisms (7 papers) and Phosphodiesterase function and regulation (7 papers). Anita Schultz collaborates with scholars based in Germany, Switzerland and United States. Anita Schultz's co-authors include Joachim E. Schultz, Jürgen U. Linder, Andrei N. Lupas, Vincent Truffault, Markus Gruber, Jörg Martin, Michael Hulko, M.P. Coles, Felix Findeisen and Ivo Tews and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Anita Schultz

24 papers receiving 887 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anita Schultz Germany 13 731 244 115 108 89 25 892
Jürgen U. Linder Germany 20 1.0k 1.4× 328 1.3× 240 2.1× 152 1.4× 206 2.3× 27 1.4k
Keisuke Sakurai Japan 20 781 1.1× 230 0.9× 139 1.2× 266 2.5× 152 1.7× 40 1.6k
Guizhen Fan United States 15 545 0.7× 130 0.5× 46 0.4× 94 0.9× 75 0.8× 29 859
Julien Barbier France 18 483 0.7× 87 0.4× 129 1.1× 115 1.1× 151 1.7× 47 1.0k
John D. Knafels United States 12 526 0.7× 170 0.7× 41 0.4× 144 1.3× 119 1.3× 16 940
Michael S. Van Nieuwenhze United States 9 457 0.6× 179 0.7× 70 0.6× 40 0.4× 43 0.5× 12 791
Peter A. Smith United States 18 610 0.8× 216 0.9× 79 0.7× 212 2.0× 46 0.5× 31 1.0k
Karin Melén Sweden 9 777 1.1× 312 1.3× 29 0.3× 59 0.5× 25 0.3× 9 1.0k
Claire Bagnéris United Kingdom 18 1.3k 1.7× 170 0.7× 89 0.8× 410 3.8× 143 1.6× 26 1.6k
Benjamin Chagot France 17 674 0.9× 137 0.6× 68 0.6× 118 1.1× 16 0.2× 26 849

Countries citing papers authored by Anita Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Anita Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anita Schultz

This figure shows the co-authorship network connecting the top 25 collaborators of Anita Schultz. A scholar is included among the top collaborators of Anita Schultz 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 Anita Schultz. Anita Schultz 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
2.
Gross, Harald, et al.. (2024). The membrane domains of mammalian adenylyl cyclases are lipid receptors. eLife. 13. 4 indexed citations
3.
Shevchenko, Andrej, et al.. (2022). Distinct glycerophospholipids potentiate Gsα-activated adenylyl cyclase activity. Cellular Signalling. 97. 110396–110396. 4 indexed citations
4.
Gross, Harald, et al.. (2022). Heme b inhibits class III adenylyl cyclases. Cellular Signalling. 103. 110568–110568. 1 indexed citations
5.
Winkler, Karin, Anita Schultz, & Joachim E. Schultz. (2012). The S-Helix Determines the Signal in a Tsr Receptor/Adenylyl Cyclase Reporter. Journal of Biological Chemistry. 287(19). 15479–15488. 21 indexed citations
6.
Lupas, Andrei N., et al.. (2011). HAMP Domain-mediated Signal Transduction Probed with a Mycobacterial Adenylyl Cyclase as a Reporter. Journal of Biological Chemistry. 287(2). 1022–1031. 24 indexed citations
7.
Mayer, Hermann A., et al.. (2009). Polyphosphates from Mycobacterium bovis– potent inhibitors of class III adenylate cyclases. FEBS Journal. 276(4). 1094–1103. 9 indexed citations
8.
Linder, Jürgen, et al.. (2009). Transmembrane Signaling in Chimeras of the Escherichia coli Aspartate and Serine Chemotaxis Receptors and Bacterial Class III Adenylyl Cyclases. Journal of Biological Chemistry. 285(3). 2090–2099. 22 indexed citations
9.
Schultz, Anita, et al.. (2008). Functional Chimeras of the Phosphodiesterase 5 and 10 Tandem GAF Domains. Journal of Biological Chemistry. 283(37). 25164–25170. 8 indexed citations
10.
Stenzl, Arnulf, et al.. (2008). The properties of phosphodiesterase 11A4 GAF domains are regulated by modifications in its N‐terminal domain. FEBS Journal. 275(8). 1643–1650. 10 indexed citations
11.
Findeisen, Felix, Jürgen U. Linder, Anita Schultz, et al.. (2007). The Structure of the Regulatory Domain of the Adenylyl Cyclase Rv1264 from Mycobacterium tuberculosis with Bound Oleic Acid. Journal of Molecular Biology. 369(5). 1282–1295. 16 indexed citations
12.
Linder, Jürgen U., et al.. (2007). Changes in purine specificity in tandem GAF chimeras from cyanobacterial cyaB1 adenylate cyclase and rat phosphodiesterase 2. FEBS Journal. 274(6). 1514–1523. 5 indexed citations
13.
Schultz, Anita, et al.. (2006). Characterization of the Tandem GAF Domain of Human Phosphodiesterase 5 Using a Cyanobacterial Adenylyl Cyclase as a Reporter Enzyme. Journal of Biological Chemistry. 281(29). 19969–19976. 20 indexed citations
14.
Hulko, Michael, Markus Gruber, Jürgen U. Linder, et al.. (2006). The HAMP Domain Structure Implies Helix Rotation in Transmembrane Signaling. Cell. 126(5). 929–940. 318 indexed citations
15.
Schultz, Anita, et al.. (2005). cAMP Is a Ligand for the Tandem GAF Domain of Human Phosphodiesterase 10 and cGMP for the Tandem GAF Domain of Phosphodiesterase 11. Journal of Biological Chemistry. 281(5). 2841–2846. 84 indexed citations
16.
Schultz, Anita, Jürgen U. Linder, Christine Keller, et al.. (2005). Interaction of Rv1625c, a mycobacterial class IIIa adenylyl cyclase, with a mammalian congener. Molecular Microbiology. 57(3). 667–677. 13 indexed citations
17.
Martinez, Sergio E., Anita Schultz, Ning Zheng, et al.. (2005). Crystal structure of the tandem GAF domains from a cyanobacterial adenylyl cyclase: Modes of ligand binding and dimerization. Proceedings of the National Academy of Sciences. 102(8). 3082–3087. 68 indexed citations
18.
Vishnyakov, Andrey E., et al.. (2003). Adenylyl cyclases from Plasmodium, Paramecium and Tetrahymena are novel ion channel/enzyme fusion proteins. Cellular Signalling. 16(1). 115–125. 70 indexed citations
19.
Linder, Jürgen U., Anita Schultz, & Joachim E. Schultz. (2002). Adenylyl Cyclase Rv1264 from Mycobacterium tuberculosis Has an Autoinhibitory N-terminal Domain. Journal of Biological Chemistry. 277(18). 15271–15276. 52 indexed citations
20.
Schultz, Anita, Mitsuyoshi Sasaki, & Samuel Natelson. (1974). Comparison of the Ribonucleotide with the Canavanine Reductase System. Experimental Biology and Medicine. 145(3). 884–888. 1 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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