Norman Mack

848 citations
8 papers · 124 · h-index 5

Impact in

    • Glioma Diagnosis and Treatment
    • Neuroblastoma Research and Treatments

Papers in

    • Chromatin Remodeling and Cancer 3
    • Hedgehog Signaling Pathway Studies 2
    • Sphingolipid Metabolism and Signaling 1
    • Glioma Diagnosis and Treatment 3
    • Chronic Lymphocytic Leukemia Research 1

Norman Mack

8 papers receiving 122 citations

Peers

Norman Mack
Comparison fields: 5 of 37
  • Genetics 66
  • Neurology 23
  • Developmental Neuroscience 6
  • Structural Biology 2
  • Molecular Biology 78
Replace Dennis S. Metselaar with:
Dennis S. Metselaar Netherlands
Yuchen Du United States
Aaminah Khan Australia
Seçkin Akgül Australia
Melanie Schoof Germany
Hongwu Zheng United States
Erin Crotty United States
Marina Dutra‐Clarke United States
Kirsty M. Ferguson United Kingdom
Anja Wieland Germany
Norman Mack relative to Dennis S. Metselaar Netherlands Dennis S. Metselaar's profile →
Citations per field
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Dennis S. Metselaar · 1×
Citations per year

Countries citing papers authored by Norman Mack

Since Specialization
Citations

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

Fields of papers citing papers by Norman Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 202165
2 201731
3 202313
4 20247
5 20224
6 20172
7 20241
8 20201

About Norman Mack

Norman Mack is a scholar working on Molecular Biology, Genetics, Immunology, Neurology and Oncology, having authored 8 papers that have together received 124 indexed citations. Recurring topics across this work include Chromatin Remodeling and Cancer (3 papers), Glioma Diagnosis and Treatment (3 papers), Hedgehog Signaling Pathway Studies (2 papers), CAR-T cell therapy research (2 papers), Neuroblastoma Research and Treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Genetics (66 citations), Neurology (23 citations), Developmental Neuroscience (6 citations), Structural Biology (2 citations) and Molecular Biology (78 citations). Norman Mack has collaborated with scholars based in Germany, Netherlands and Canada. Frequent co-authors include Stefan M. Pfister, Natalie Jäger, Daisuke Kawauchi, Marius Wernig, David Jones, Koji Tanabe, Jessica Clark, Daniel Haag, Tanvi Sharma and Christel Herold‐Mende. Their work appears in journals such as Neuro-Oncology, Blood, Cancers, British Journal of Cancer and Cancer Cell.

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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