M Melzig

662 citations
11 papers · 539 · h-index 5

Impact in

    • Antimicrobial Peptides and Activities
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • Lipid Membrane Structure and Behavior
    • DNA and Nucleic Acid Chemistry

Papers in

    • RNA Interference and Gene Delivery 3
    • Lipid Membrane Structure and Behavior 2
    • Polyamine Metabolism and Applications 1
    • Bioactive Natural Diterpenoids Research 1

M Melzig

11 papers receiving 512 citations

Peers

M Melzig
Comparison fields: 5 of 54
  • Microbiology 144
  • Molecular Biology 495
  • Immunology 77
  • Biomaterials 46
  • Genetics 80
Replace Helene L. Åmand with:
Helene L. Åmand Sweden
E Klauschenz Germany
Helerin Margus Estonia
Kristina Najjar United States
Sayaka Katayama Japan
Ryan Hard United States
Misao Akishiba Japan
Ivana Ruseska Austria
Annely Lorents Estonia
Hao‐Hsin Yu Japan
M Melzig relative to Helene L. Åmand Sweden Helene L. Åmand's profile →
Citations per field
00.5×1.5×
Helene L. Åmand · 1×
Citations per year

Countries citing papers authored by M Melzig

Since Specialization
Citations

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

Fields of papers citing papers by M Melzig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside M Melzig, 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 M Melzig Line = papers co-authored together M Melzig links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1998354
2 1999145
3 199719
4 20146
5
Long-term morphine treatment increases Ku protein DNA end-binding activity.
19975
6 20164
7 19892
8 20151
9 20101
10 20101
11
[Establishment and characterization of the pig aortic endothelial cell line BSEz-3 in a serum-reduced medium].
19861

About M Melzig

M Melzig is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Epidemiology and Biomaterials, having authored 11 papers that have together received 539 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Lipid Membrane Structure and Behavior (2 papers), Polyamine Metabolism and Applications (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Bioactive Natural Diterpenoids Research (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Cassava research and cyanide (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Microbiology (144 citations), Molecular Biology (495 citations), Immunology (77 citations), Biomaterials (46 citations) and Genetics (80 citations). M Melzig has collaborated with scholars based in Germany, Switzerland and China. Frequent co-authors include Michael Bienert, Johannes Oehlke, Eberhard Krause, Michael Beyermann, Burkhard Wiesner, E Klauschenz, Margitta Dathe, Hartmut Berger, XY Zhang and Georgy Bakalkin. Their work appears in journals such as Planta Medica, Biochimica et Biophysica Acta (BBA) - Biomembranes, Journal of Peptide Science, Annals of Oncology and PubMed.

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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