Eva Pfeifer

454 citations
9 papers · 363 · h-index 7

Impact in

Papers in

    • RNA and protein synthesis mechanisms 4
    • Chemical Synthesis and Analysis 3
    • Protein Structure and Dynamics 2
    • Microbial Natural Products and Biosynthesis 4

Eva Pfeifer

9 papers receiving 335 citations

Peers

Eva Pfeifer
Comparison fields: 5 of 46
  • Pharmacology 207
  • Microbiology 36
  • Molecular Biology 300
  • Biotechnology 27
  • Genetics 67
Replace Nadine Kessler with:
Nadine Kessler Germany
Karel Mikulı́k Czechia
Henk van Liempt Germany
Jesse A. Sundlov United States
Jamie B. Scaglione United States
Katie J. Molohon United States
Asfarul S. Haque India
Yanxiang Shi United States
Mark J. Calcott New Zealand
Eva Pfeifer relative to Nadine Kessler Germany Nadine Kessler's profile →
Citations per field
00.5×1.5×1.8×
Nadine Kessler · 1×
Citations per year

Countries citing papers authored by Eva Pfeifer

Since Specialization
Citations

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

Fields of papers citing papers by Eva Pfeifer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Eva Pfeifer, 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 Eva Pfeifer Line = papers co-authored together Eva Pfeifer links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1991134
2 199349
3 199546
4 199437
5 199436
6 199435
7 199720
8 20203
9
Principles of the molecular construction of multienzyme templates for peptide biosynthesis in integrated reaction sequences.
19913

About Eva Pfeifer

Eva Pfeifer is a scholar working on Molecular Biology, Pharmacology, Genetics, Microbiology and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 363 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (4 papers), RNA and protein synthesis mechanisms (4 papers), Bacterial Genetics and Biotechnology (4 papers), Chemical Synthesis and Analysis (3 papers), Protein Structure and Dynamics (2 papers), Antimicrobial Peptides and Activities (2 papers), Mass Spectrometry Techniques and Applications (1 paper) and Biotin and Related Studies (1 paper). The work is most often cited by research in Pharmacology (207 citations), Microbiology (36 citations), Molecular Biology (300 citations), Biotechnology (27 citations) and Genetics (67 citations). Eva Pfeifer has collaborated with scholars based in Germany, Croatia and Spain. Frequent co-authors include Hans von Döhren, Maja Pavela‐Vrančić, Henk van Liempt, Horst Kleinkauf, Andrew MacCabe, J. R. Kinghorn, S. E. Unkles, Wolfgang P. Schröder, Wolfgang Freist and Torsten Schwecke. Their work appears in journals such as Biochemistry, European Journal of Biochemistry, Journal of Biological Chemistry, The Physician and Sportsmedicine and Nature Biotechnology.

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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