Simon Daefler

1.1k total citations
28 papers, 913 citations indexed

About

Simon Daefler is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Simon Daefler has authored 28 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Infectious Diseases. Recurrent topics in Simon Daefler's work include Bacterial Genetics and Biotechnology (8 papers), Gene Regulatory Network Analysis (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Simon Daefler is often cited by papers focused on Bacterial Genetics and Biotechnology (8 papers), Gene Regulatory Network Analysis (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Simon Daefler collaborates with scholars based in United States, Germany and Denmark. Simon Daefler's co-authors include Marjorie Russel, Anu Raghunathan, Batcha Tamilselvam, Bernhard Ø. Palsson, Jennifer L. Reed, Mary E. Klotman, Flossie Wong‐Staal, Kim R. Hardie, Anthony P. Pugsley and Ingrid Guilvout and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Simon Daefler

27 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Daefler United States 16 539 292 184 135 119 28 913
Susanne Bauer Germany 13 353 0.7× 208 0.7× 151 0.8× 123 0.9× 127 1.1× 25 879
Matthew Mayho United Kingdom 15 555 1.0× 148 0.5× 119 0.6× 212 1.6× 65 0.5× 20 1.3k
Lynne R. Prost United States 10 586 1.1× 281 1.0× 233 1.3× 65 0.5× 169 1.4× 10 986
Musaddeq Hussain United States 14 619 1.1× 310 1.1× 92 0.5× 151 1.1× 25 0.2× 25 1.2k
Alex Pelletier Canada 12 273 0.5× 150 0.5× 107 0.6× 73 0.5× 49 0.4× 18 702
Mitali Sarkar‐Tyson United Kingdom 23 438 0.8× 98 0.3× 77 0.4× 105 0.8× 25 0.2× 51 1.2k
Dawn M. O’Dee United States 16 650 1.2× 214 0.7× 106 0.6× 211 1.6× 28 0.2× 21 1.0k
C. Garrett Miyada United States 15 1.0k 1.9× 329 1.1× 114 0.6× 168 1.2× 43 0.4× 26 1.5k
Christian Rüter Germany 15 428 0.8× 177 0.6× 266 1.4× 161 1.2× 51 0.4× 28 994
Jonathan M. Budzik United States 16 734 1.4× 138 0.5× 57 0.3× 194 1.4× 47 0.4× 22 1.0k

Countries citing papers authored by Simon Daefler

Since Specialization
Citations

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

Fields of papers citing papers by Simon Daefler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Daefler

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Daefler. A scholar is included among the top collaborators of Simon Daefler 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 Simon Daefler. Simon Daefler 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.
Altman, Deena R., Robert Sebra, Jonathan Hand, et al.. (2014). Transmission of Methicillin-Resistant Staphylococcus aureus via Deceased Donor Liver Transplantation Confirmed by Whole Genome Sequencing. American Journal of Transplantation. 14(11). 2640–2644. 34 indexed citations
2.
Chaudhury, Sidhartha, Mohamed Diwan M. AbdulHameed, Narender Singh, et al.. (2013). Rapid Countermeasure Discovery against Francisella tularensis Based on a Metabolic Network Reconstruction. PLoS ONE. 8(5). e63369–e63369. 13 indexed citations
3.
Daefler, Simon. (2013). Using Datasets for Modeling of Infectious Diseases. 4(1). 1 indexed citations
4.
Shea, April A., Mark Wolcott, Simon Daefler, & David A. Rozak. (2012). Biolog Phenotype Microarrays. Methods in molecular biology. 881. 331–373. 45 indexed citations
6.
Pan, Xin, Batcha Tamilselvam, Eric J. Hansen, & Simon Daefler. (2010). Modulation of iron homeostasis in macrophages by bacterial intracellular pathogens. BMC Microbiology. 10(1). 64–64. 59 indexed citations
7.
Raghunathan, Anu, et al.. (2009). Constraint-based analysis of metabolic capacity of Salmonella typhimurium during host-pathogen interaction. BMC Systems Biology. 3(1). 38–38. 131 indexed citations
8.
Patel, Rupa, Jennifer Jao, Gopi Patel, et al.. (2009). Severe pandemic (H1N1) 2009 influenza with false negative direct fluorescent antibody assay: Case series. Journal of Clinical Virology. 46(3). 279–281. 9 indexed citations
9.
Ghosh, Preetam, Satrajit Ghosh, Kalyan Basu, Sajal K. Das, & Simon Daefler. (2006). An analytical model to estimate the time taken for cytoplasmic reactions for stochastic simulation of complex biological systems. 79–84. 8 indexed citations
10.
Ghosh, Preetam, Samik Ghosh, Kalyan Basu, Sajal K. Das, & Simon Daefler. (2006). A Stochastic model to estimate the time taken for Protein-Ligand Docking. 1–8. 7 indexed citations
11.
Daefler, Simon, et al.. (2002). Identification of a NIPSNAP homologue as host cell target forSalmonellavirulence protein SpiC. Cellular Microbiology. 4(11). 739–750. 52 indexed citations
12.
Daefler, Simon. (1999). Type III secretion by Salmonella typhimurium does not require contact with a eukaryotic host. Molecular Microbiology. 31(1). 45–51. 32 indexed citations
13.
Daefler, Simon & Marjorie Russel. (1998). The Salmonella typhimurium InvH protein is an outer membrane lipoprotein required for the proper localization of InvG. Molecular Microbiology. 28(6). 1367–1380. 95 indexed citations
14.
Daefler, Simon, Marjorie Russel, & Peter Model. (1997). Module swaps between related translocator proteins pIVf1, pIVIKe and PulD: identification of a specificity domain. Journal of Molecular Biology. 266(5). 978–992. 36 indexed citations
15.
Daefler, Simon, Ingrid Guilvout, Kim R. Hardie, Anthony P. Pugsley, & Marjorie Russel. (1997). The C‐terminal domain of the secretin PulD contains the binding site for its cognate chaperone, PulS, and confers PulS dependence on pIVf1 function. Molecular Microbiology. 24(3). 465–475. 84 indexed citations
16.
Navarre, William Wiley, Simon Daefler, & Olaf Schneewind. (1996). Cell wall sorting of lipoproteins in Staphylococcus aureus. Journal of Bacteriology. 178(2). 441–446. 48 indexed citations
17.
Daefler, Simon, Mary E. Klotman, & Flossie Wong‐Staal. (1990). Trans-activating rev protein of the human immunodeficiency virus 1 interacts directly and specifically with its target RNA.. Proceedings of the National Academy of Sciences. 87(12). 4571–4575. 50 indexed citations
18.
Goldblum, N, et al.. (1990). Susceptibility to HIV-1 infection of a human B-lymphoblastoid cell line, DG75, transfected with subgenomic DNA fragments of Epstein-Barr virus.. PubMed. 72. 309–13. 16 indexed citations
19.
Daefler, Simon, et al.. (1989). Lack of dynamic lipid changes after binding of interleukin 2 in chronic lymphatic leukemia lymphocytes indicates defective transmembrane signalling.. PubMed. 9(3). 743–8. 4 indexed citations
20.
Daefler, Simon, et al.. (1987). Cell membrane fluidity in chronic lymphocytic leukemia (CLL) lymphocytes and its relation to membrane receptor expression.. PubMed. 3(2). 147–54. 10 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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