Simon Daefler

1.1k citations
29 papers · 974 · h-index 16

Impact in

    • Vibrio bacteria research studies
    • Escherichia coli research studies
  • Virology top 10%

Papers in

    • Gene Regulatory Network Analysis 5
    • Microbial Metabolic Engineering and Bioproduction 4
    • Bacterial Genetics and Biotechnology 7
    • Chronic Lymphocytic Leukemia Research 3

Simon Daefler

29 papers receiving 956 citations

Peers

Simon Daefler
Comparison fields: 5 of 89
  • Endocrinology 198
  • Virology 69
  • Molecular Medicine 57
  • Genetics 302
  • Infectious Diseases 142
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Simon Daefler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Daefler Line = papers co-authored together Simon Daefler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009136
2 1998104
3 199786
4 201060
5 199656
6 199054
7 200253
8 201248
9 200843
10 201041
11 201439
12 201437
13 199337
14 199736
15 199933
16
Susceptibility to HIV-1 infection of a human B-lymphoblastoid cell line, DG75, transfected with subgenomic DNA fragments of Epstein-Barr virus.
199017
17 201315
18 200612
19
Cell membrane fluidity in chronic lymphocytic leukemia (CLL) lymphocytes and its relation to membrane receptor expression.
198710
20 200610

About Simon Daefler

Simon Daefler is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Genetics and Virology, having authored 29 papers that have together received 974 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Gene Regulatory Network Analysis (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Vibrio bacteria research studies (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), HIV Research and Treatment (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Endocrinology (198 citations), Virology (69 citations), Molecular Medicine (57 citations), Genetics (302 citations) and Infectious Diseases (142 citations). Simon Daefler has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Marjorie Russel, Anu Raghunathan, Batcha Tamilselvam, Jennifer L. Reed, Bernhard Ø. Palsson, Mary E. Klotman, Flossie Wong‐Staal, William Wiley Navarre, Olaf Schneewind and Ingrid Guilvout. Their work appears in journals such as Molecular Microbiology, BMC Systems Biology, Journal of Virology, Microbiology and The Journal of Immunology.

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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