Katja Müdder

780 citations
11 papers · 301 · h-index 9

Impact in

  • Hematology top 10%
    • Iron Metabolism and Disorders
    • Hematopoietic Stem Cell Transplantation
    • Hemoglobinopathies and Related Disorders

Papers in

    • Hematopoietic Stem Cell Transplantation 3
    • Iron Metabolism and Disorders 3
    • NF-κB Signaling Pathways 2

Katja Müdder

11 papers receiving 296 citations

Peers

Katja Müdder
Comparison fields: 5 of 60
  • Hematology 120
  • Genetics 54
  • Cancer Research 35
  • Nutrition and Dietetics 33
  • Immunology 42
Replace Kimberly Pachura with:
Kimberly Pachura United States
Fumiaki Urase Japan
Mariateresa Pettinato Italy
José Padilla Spain
Pierre–Olivier Schischmanoff France
Alice Barinotti Italy
Johanna Zierow Germany
Abraham Bayer United States
Akinobu Funatsu Japan
Sandra Holzhauer United States
Katja Müdder relative to Kimberly Pachura United States Kimberly Pachura's profile →
Citations per field
00.5×1.5×1.9×
Kimberly Pachura · 1×
Citations per year

Countries citing papers authored by Katja Müdder

Since Specialization
Citations

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

Fields of papers citing papers by Katja Müdder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 202173
2 201752
3 201547
4 201429
5 201927
6 201425
7 202125
8 202210
9 20248
10 20153
11 20242

About Katja Müdder

Katja Müdder is a scholar working on Hematology, Cancer Research, Molecular Biology, Genetics and Oncology, having authored 11 papers that have together received 301 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (3 papers), Iron Metabolism and Disorders (3 papers), NF-κB Signaling Pathways (2 papers), Cancer-related gene regulation (2 papers), Ubiquitin and proteasome pathways (1 paper), Bone and Dental Protein Studies (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Hematology (120 citations), Genetics (54 citations), Cancer Research (35 citations), Nutrition and Dietetics (33 citations) and Immunology (42 citations). Katja Müdder has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Sandro Altamura, Martina U. Muckenthaler, Peter P. Nawroth, Andreas Trumpp, Tobias Boch, Armin Ehninger, Thomas Fleming, Andrea Schlotterer, Hans‐Peter Hammes and Stefan Kopf. Their work appears in journals such as Blood, HemaSphere, Hepatology, The Journal of Cell Biology and Journal of Molecular Medicine.

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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