Ute Münchberg

536 citations
17 papers · 385 · h-index 10

Impact in

  • Biophysics top 5%
    • Spectroscopy Techniques in Biomedical and Chemical Research
  • Biochemistry top 10%
    • Sulfur Compounds in Biology

Papers in

Ute Münchberg

17 papers receiving 378 citations

Peers

Ute Münchberg
Comparison fields: 5 of 88
  • Biophysics 66
  • Biochemistry 42
  • Analytical Chemistry 35
  • Clinical Biochemistry 22
  • Process Chemistry and Technology 8
Replace S C Tu with:
S C Tu United States
Kenichi Higashiyama Japan
Ye China
José G. Sampedro Mexico
Huancai Yin China
Mengyun Xu China
David H. Watson United Kingdom
Danni Wang China
Christian Vélot France
Guojin Zhang China
Ute Münchberg relative to S C Tu United States S C Tu's profile →
Citations per field
00.5×10×15×20.5×
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Citations per year

Countries citing papers authored by Ute Münchberg

Since Specialization
Citations

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

Fields of papers citing papers by Ute Münchberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2007156
2 201455
3 202027
4 202125
5 201125
6 201819
7 202018
8 202117
9 201511
10 201211
11 20216
12 20195
13 20234
14 20112
15 20112
16 20221
17 20111

About Ute Münchberg

Ute Münchberg is a scholar working on Biophysics, Molecular Biology, Analytical Chemistry, Clinical Biochemistry and Cell Biology, having authored 17 papers that have together received 385 indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Spectroscopy and Chemometric Analyses (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Insect and Pesticide Research (2 papers), Essential Oils and Antimicrobial Activity (2 papers), Enzyme Catalysis and Immobilization (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Biophysics (66 citations), Biochemistry (42 citations), Analytical Chemistry (35 citations), Clinical Biochemistry (22 citations) and Process Chemistry and Technology (8 citations). Ute Münchberg has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Awais Anwar, Susanne Mecklenburg, Claus Jacob, Jürgen Popp, Petra Rösch, Michael Bauer, Erik Freier, Huaiguang Li, Alaa A. Oughli and Nicolas Plumeré. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Organic & Biomolecular Chemistry, Frontiers in Bioengineering and Biotechnology, Nature Communications and Analytical Chemistry.

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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