Nora Pällmann

430 citations
10 papers · 308 · h-index 8

Impact in

  • Biochemistry top 10%
    • Amino Acid Enzymes and Metabolism
    • Polyamine Metabolism and Applications
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Cancer-related gene regulation

Papers in

    • Polyamine Metabolism and Applications 4
    • Epigenetics and DNA Methylation 3
    • RNA Interference and Gene Delivery 2
    • Cancer-related gene regulation 2
    • Acute Myeloid Leukemia Research 2

Nora Pällmann

10 papers receiving 308 citations

Peers

Nora Pällmann
Comparison fields: 5 of 60
  • Biochemistry 55
  • Molecular Biology 227
  • Cancer Research 30
  • Cell Biology 31
  • Genetics 18
Replace Mehmet Yabas with:
Mehmet Yabas Australia
Hendrik Folkerts Netherlands
Armando Reyes‐Palomares Spain
Bodvaël Pennarun Netherlands
Francesca R. Dejure Germany
Dilki Wickramarachchi United States
Ilana Braunstein Israel
S Imai Japan
Delphine Fontaine France
Stijn Vereecke Belgium
Nora Pällmann relative to Mehmet Yabas Australia Mehmet Yabas's profile →
Citations per field
00.5×1.5×2.0×
Mehmet Yabas · 1×
Citations per year

Countries citing papers authored by Nora Pällmann

Since Specialization
Citations

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

Fields of papers citing papers by Nora Pällmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201255
2 201551
3 201445
4 201545
5 201942
6 201432
7 202119
8 201215
9 20132
10 20252

About Nora Pällmann

Nora Pällmann is a scholar working on Molecular Biology, Hematology, Cell Biology, Biochemistry and Cancer Research, having authored 10 papers that have together received 308 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (4 papers), Epigenetics and DNA Methylation (3 papers), Acute Myeloid Leukemia Research (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), RNA Interference and Gene Delivery (2 papers), Cancer-related gene regulation (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Biochemistry (55 citations), Molecular Biology (227 citations), Cancer Research (30 citations), Cell Biology (31 citations) and Genetics (18 citations). Nora Pällmann has collaborated with scholars based in Germany, Switzerland and Norway. Frequent co-authors include Carsten Bokemeyer, Stefan Balabanov, Melanie Braig, Henning Sievert, Joachim Hauber, Christian Hagel, Ladan Fazli, Bülent Özpolat, Håvard E. Danielsen and Paul S. Rennie. Their work appears in journals such as Cancer Letters, Journal of Biological Chemistry, Leukemia, PLoS ONE and Blood.

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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