Daniela Fischer

3.1k citations
43 papers · 2.5k · h-index 25

Impact in

    • Escherichia coli research studies
    • Vibrio bacteria research studies
  • Genetics top 1%
    • Bacterial Genetics and Biotechnology

Papers in

    • RNA and protein synthesis mechanisms 8
    • Protein Structure and Dynamics 4
    • Bacterial Genetics and Biotechnology 12
    • Yersinia bacterium, plague, ectoparasites research 4

Daniela Fischer

40 papers receiving 2.4k citations

Peers

Daniela Fischer
Comparison fields: 5 of 112
  • Endocrinology 340
  • Genetics 1.1k
  • Molecular Medicine 145
  • Molecular Biology 1.5k
  • Cultural Studies 123
Replace John H. Hammond with:
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Citations per field
00.5×20×40×61.5×
John H. Hammond · 1×
Citations per year

Countries citing papers authored by Daniela Fischer

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Fischer, 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 Daniela Fischer Line = papers co-authored together Daniela Fischer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996224
2 1996213
3 1995193
4 1993179
5 1995170
6 2007160
7 1992131
8 1997129
9 2009117
10 1998108
11 199584
12 200481
13 200081
14 199960
15 200759
16 198849
17 199941
18 200441
19 199838
20
The antibody response in Lyme disease.
198537

About Daniela Fischer

Daniela Fischer is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Plant Science and Electrical and Electronic Engineering, having authored 43 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), RNA and protein synthesis mechanisms (8 papers), Enzyme Structure and Function (5 papers), Copper-based nanomaterials and applications (4 papers), Quantum Dots Synthesis And Properties (4 papers), Protein Structure and Dynamics (4 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Chalcogenide Semiconductor Thin Films (4 papers). The work is most often cited by research in Endocrinology (340 citations), Genetics (1.1k citations), Molecular Medicine (145 citations), Molecular Biology (1.5k citations) and Cultural Studies (123 citations). Daniela Fischer has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Regine Hengge‐Aronis, Andrea Muffler, Roland Lange, Christian Griesinger, Eckhard Mandelkow�, Jacek Biernat, Markus Zweckstetter, Marco D. Mukrasch, Gisela Storz and Shoshy Altuvia. Their work appears in journals such as Journal of Bacteriology, Photochemistry and Photobiology, Archives of Biochemistry and Biophysics, Phytochemistry and Biochemistry.

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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