Ursula Mackfeld

426 citations
15 papers · 335 · h-index 10

Impact in

  • Biochemistry top 10%
    • Biochemical Acid Research Studies
    • Amino Acid Enzymes and Metabolism
    • Enzyme Catalysis and Immobilization
    • Microbial Metabolic Engineering and Bioproduction
    • Protein purification and stability

Papers in

    • Enzyme Catalysis and Immobilization 4
    • Microbial Metabolic Engineering and Bioproduction 4
    • Biochemical Acid Research Studies 4
    • Amino Acid Enzymes and Metabolism 2

Ursula Mackfeld

15 papers receiving 329 citations

Peers

Ursula Mackfeld
Comparison fields: 5 of 49
  • Biochemistry 66
  • Molecular Biology 255
  • Biotechnology 26
  • Clinical Biochemistry 18
  • Organic Chemistry 55
Replace Edward G. Hibbert with:
Edward G. Hibbert United Kingdom
Christine Guérard‐Hélaine France
Ekaterina Yu. Bezsudnova Russia
Alexandra Lerchner Germany
Maika Genz Germany
Andre Jakoblinnert Germany
Nathan Wymer United States
Marleen Otzen Netherlands
Vinod Puthan Veetil Netherlands
Ursula Mackfeld relative to Edward G. Hibbert United Kingdom Edward G. Hibbert's profile →
Citations per field
00.5×3.9×
Edward G. Hibbert · 1×
Citations per year

Countries citing papers authored by Ursula Mackfeld

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Mackfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201249
2 201849
3 200744
4 201939
5 201329
6 201726
7 201425
8 201322
9 201920
10 201713
11 20119
12 20097
13 20181
14 20131
15 20091

About Ursula Mackfeld

Ursula Mackfeld is a scholar working on Molecular Biology, Biochemistry, Organic Chemistry, Neurology and Clinical Biochemistry, having authored 15 papers that have together received 335 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (4 papers), Biochemical Acid Research Studies (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Cyclopropane Reaction Mechanisms (2 papers), Enzyme Structure and Function (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Metabolism and Genetic Disorders (2 papers) and GABA and Rice Research (2 papers). The work is most often cited by research in Biochemistry (66 citations), Molecular Biology (255 citations), Biotechnology (26 citations), Clinical Biochemistry (18 citations) and Organic Chemistry (55 citations). Ursula Mackfeld has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Martina Pohl, Dörte Rother, Wolfgang Wiechert, Alexander Grünberger, Vera D. Jäger, Ulrich Krauß, Marco Bocola, Jens Rudat, Marco Oldiges and Eric von Lieres. Their work appears in journals such as Journal of Biotechnology, Advanced Synthesis & Catalysis, ChemCatChem, Biotechnology Journal and Chemical Communications.

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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