Hans H. Saxild

2.6k total citations
26 papers, 1.1k citations indexed

About

Hans H. Saxild is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Hans H. Saxild has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 19 papers in Genetics and 13 papers in Ecology. Recurrent topics in Hans H. Saxild's work include Bacterial Genetics and Biotechnology (19 papers), Bacteriophages and microbial interactions (13 papers) and Biochemical and Molecular Research (10 papers). Hans H. Saxild is often cited by papers focused on Bacterial Genetics and Biotechnology (19 papers), Bacteriophages and microbial interactions (13 papers) and Biochemical and Molecular Research (10 papers). Hans H. Saxild collaborates with scholars based in Denmark, United States and France. Hans H. Saxild's co-authors include Per Nygaard, Hanne Jarmer, Anna Charlotte Schultz, Xianmin Zeng, Steen Knudsen, Karin Hammer, Randy M. Berka, Yvonne Agersø, Robert L. Switzer and Anders Krogh and has published in prestigious journals such as Journal of Bacteriology, Microbiology and FEMS Microbiology Letters.

In The Last Decade

Hans H. Saxild

26 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans H. Saxild Denmark 20 828 501 281 224 64 26 1.1k
Michael J. Weickert United States 16 985 1.2× 668 1.3× 173 0.6× 266 1.2× 84 1.3× 25 1.3k
A.J. Cozzone France 21 973 1.2× 446 0.9× 209 0.7× 193 0.9× 64 1.0× 46 1.3k
Michael K. Dahl Germany 21 764 0.9× 655 1.3× 321 1.1× 299 1.3× 148 2.3× 30 1.2k
S Michaelis United States 12 875 1.1× 711 1.4× 237 0.8× 146 0.7× 57 0.9× 14 1.2k
K Mizobuchi Japan 22 821 1.0× 459 0.9× 313 1.1× 131 0.6× 93 1.5× 34 1.1k
Matthias Rose Germany 16 857 1.0× 315 0.6× 166 0.6× 97 0.4× 79 1.2× 24 1.0k
V. James Hernandez United States 16 955 1.2× 648 1.3× 249 0.9× 111 0.5× 97 1.5× 18 1.2k
Orna Amster‐Choder Israel 22 1.2k 1.4× 924 1.8× 348 1.2× 209 0.9× 68 1.1× 53 1.4k
M. Stella Carlomagno Italy 19 809 1.0× 416 0.8× 200 0.7× 130 0.6× 80 1.3× 28 982
M A Strauch United States 14 821 1.0× 803 1.6× 483 1.7× 203 0.9× 118 1.8× 18 1.1k

Countries citing papers authored by Hans H. Saxild

Since Specialization
Citations

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

Fields of papers citing papers by Hans H. Saxild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans H. Saxild. 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 Hans H. Saxild. The network helps show where Hans H. Saxild may publish in the future.

Co-authorship network of co-authors of Hans H. Saxild

This figure shows the co-authorship network connecting the top 25 collaborators of Hans H. Saxild. A scholar is included among the top collaborators of Hans H. Saxild 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 Hans H. Saxild. Hans H. Saxild 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.
Vainer, Ben, et al.. (2017). Turning Microscopy in the Medical Curriculum Digital: Experiences from The Faculty of Health and Medical Sciences at University of Copenhagen. Journal of Pathology Informatics. 8(1). 11–11. 19 indexed citations
2.
Nygaard, Per & Hans H. Saxild. (2005). The Purine Efflux Pump PbuE in Bacillus subtilis Modulates Expression of the PurR and G-Box (XptR) Regulons by Adjusting the Purine Base Pool Size. Journal of Bacteriology. 187(2). 791–794. 26 indexed citations
3.
Nygaard, Per, et al.. (2003). Definition of a Second Bacillus subtilis pur Regulon Comprising the pur and xpt-pbuX Operons plus pbuG , nupG ( yxjA ), and pbuE ( ydhL ). Journal of Bacteriology. 185(17). 5200–5209. 69 indexed citations
4.
Jarmer, Hanne, Randy M. Berka, Steen Knudsen, & Hans H. Saxild. (2002). Transcriptome analysis documents induced competence ofBacillus subtilisduring nitrogen limiting conditions. FEMS Microbiology Letters. 206(2). 197–200. 56 indexed citations
6.
Schultz, Anna Charlotte, Per Nygaard, & Hans H. Saxild. (2001). Functional Analysis of 14 Genes That Constitute the Purine Catabolic Pathway in Bacillus subtilis and Evidence for a Novel Regulon Controlled by the PucR Transcription Activator. Journal of Bacteriology. 183(11). 3293–3302. 110 indexed citations
7.
Jarmer, Hanne, et al.. (2001). Sigma A recognition sites in the Bacillus subtilis genome. Microbiology. 147(9). 2417–2424. 64 indexed citations
8.
Saxild, Hans H. & Per Nygaard. (2000). The yexA gene product is required for phosphoribosylformylglycinamidine synthetase activity in Bacillus subtilis. Microbiology. 146(4). 807–814. 15 indexed citations
9.
Nygaard, Per, et al.. (2000). Bacillus subtilis guanine deaminase is encoded by the yknA gene and is induced during growth with purines as the nitrogen source. Microbiology. 146(12). 3061–3069. 26 indexed citations
10.
Zeng, Xianmin, Anne Galinier, & Hans H. Saxild. (2000). Catabolite repression of dra–nupC–pdp operon expression in Bacillus subtilis. Microbiology. 146(11). 2901–2908. 19 indexed citations
11.
Zeng, Xianmin, Hans H. Saxild, & Robert L. Switzer. (2000). Purification and Characterization of the DeoR Repressor of Bacillus subtilis. Journal of Bacteriology. 182(7). 1916–1922. 38 indexed citations
12.
Schuch, Raymond, et al.. (1999). Nucleosides as a carbon source in Bacillus subtilis: characterization of the drm–pupG operon. Microbiology. 145(10). 2957–2966. 30 indexed citations
13.
Zeng, Xianmin & Hans H. Saxild. (1999). Identification and Characterization of a DeoR-Specific Operator Sequence Essential for Induction of dra-nupC-pdp Operon Expression in Bacillus subtilis. Journal of Bacteriology. 181(6). 1719–1727. 34 indexed citations
15.
Ordal, George, et al.. (1997). Functional and genetic characterization of mcpC, which encodes a third methyl-accepting chemotaxis protein in Bacillus subtilis. Microbiology. 143(10). 3231–3240. 31 indexed citations
16.
Nygaard, Per, et al.. (1996). Role of adenine deaminase in purine salvage and nitrogen metabolism and characterization of the ade gene in Bacillus subtilis. Journal of Bacteriology. 178(3). 846–853. 50 indexed citations
17.
Saxild, Hans H., et al.. (1995). Functional analysis of the Bacillus subtilis purT gene encoding formate-dependent glycinamide ribonucleotide transformylase. Microbiology. 141(9). 2211–2218. 19 indexed citations
18.
Martinussen, Jan, Philippe Glaser, Paal Skytt Andersen, & Hans H. Saxild. (1995). Two genes encoding uracil phosphoribosyltransferase are present in Bacillus subtilis. Journal of Bacteriology. 177(1). 271–274. 43 indexed citations
19.
Saxild, Hans H., et al.. (1994). Genetic and physiological characterization of a formate-dependent 5′-phosphoribosyl-1-glycinamide transformylase activity in Bacillus subtilis. Molecular and General Genetics MGG. 242(4). 415–420. 6 indexed citations
20.
Saxild, Hans H. & Per Nygaard. (1988). Gene-enzyme relationships of the purine biosynthetic pathway in Bacillus subtilis. Molecular and General Genetics MGG. 211(1). 160–167. 24 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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