Norbert Madry

509 citations
18 papers · 407 · h-index 12

Impact in

  • Pharmacology top 10%
    • Microbial Natural Products and Biosynthesis
    • Fungal Biology and Applications
    • Signaling Pathways in Disease
    • Glycosylation and Glycoproteins Research
    • Chemical Synthesis and Analysis

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Chemical Synthesis and Analysis 3
    • Microbial Natural Products and Biosynthesis 3
    • Fungal Biology and Applications 3

Norbert Madry

17 papers receiving 372 citations

Peers

Norbert Madry
Comparison fields: 5 of 63
  • Pharmacology 106
  • Molecular Biology 240
  • Developmental Neuroscience 14
  • Oncology 92
  • Microbiology 16
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Citations per field
00.5×4.6×
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Citations per year

Countries citing papers authored by Norbert Madry

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Madry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 198671
2 199345
3 198438
4 199837
5 198332
6
Characterization of tumor-associated neural cell adhesion molecule in human serum.
199429
7 199325
8 198325
9 197923
10
Measures to overcome HAMA interferences in immunoassays.
199720
11 198416
12 198813
13 198311
14 19827
15 19857
16 19845
17
Human anti-mouse antibody (HAMA) response: Short and longterm follow-up in 76 patients after diagnostic and therapeutic application of radiolabeled monoclonal antibodies
19882
18 19941

About Norbert Madry

Norbert Madry is a scholar working on Molecular Biology, Pharmacology, Oncology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 18 papers that have together received 407 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Chemical Synthesis and Analysis (3 papers), Fungal Biology and Applications (3 papers), Neuroblastoma Research and Treatments (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Pharmacology (106 citations), Molecular Biology (240 citations), Developmental Neuroscience (14 citations), Oncology (92 citations) and Microbiology (16 citations). Norbert Madry has collaborated with scholars based in Germany, Sweden and Switzerland. Frequent co-authors include Horst Kleinkauf, Rainer Zocher, Gabriele Jaques, Hermann Pape, Matthias Eckhardt, Rita Gerardy‐Schahn, Ullrich Keller, Takuya Nihira, Maria Pritsch and K. Havemann. Their work appears in journals such as Applied Microbiology and Biotechnology, International Journal of Cancer, Phytochemistry, Cancer and The Journal of Antibiotics.

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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