Miriam Kull

751 citations
16 papers · 335 indexed · h-index 8

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Protein Degradation and Inhibitors
    • Ubiquitin and proteasome pathways
    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • RNA Research and Splicing

Papers in

    • Multiple Myeloma Research and Treatments 12
    • Acute Myeloid Leukemia Research 2
    • Chronic Lymphocytic Leukemia Research 2

Miriam Kull

14 papers receiving 332 citations

Peers

Miriam Kull
Comparison fields: 5 of 43
  • Hematology 130
  • Molecular Biology 279
  • Physiology 86
  • Oncology 61
  • Biotechnology 19
Replace Lai-Fong Poon with:
Lai-Fong Poon Singapore
Jianping Lan China
OI Olopade United States
Višnja Radulović Sweden
Sofia Vidal‐Cardenas United States
Purvi M. Kakadia Germany
Candace J. Poole United States
Simona Barbato Italy
David Posocco United States
Takao Morinaga Japan
Miriam Kull relative to Lai-Fong Poon Singapore Lai-Fong Poon's profile →
Citations per field
00.5×3.8×
Lai-Fong Poon · 1×
Citations per year

Countries citing papers authored by Miriam Kull

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Kull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20251
2 20240
3 20241
4 20235
5 20237
6 202242
7 20226
8 202116
9 201810
10 20180
11 20171
12 201636
13 20163
14 201536
15 201451
16 2004120

About Miriam Kull

Miriam Kull is a scholar working on Hematology, Genetics, Molecular Biology, Orthopedics and Sports Medicine and Emergency Medicine, having authored 16 papers that have together received 335 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (12 papers), Protein Degradation and Inhibitors (6 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer therapeutics and mechanisms (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Salmonella and Campylobacter epidemiology (1 paper). The work is most often cited by research in Hematology (130 citations), Molecular Biology (279 citations), Physiology (86 citations), Oncology (61 citations) and Biotechnology (19 citations). Miriam Kull has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Hesham Eldaly, Cornelius F. Waller, Uwe M. Martens, Stefan Zimmermann, Milena Pantić, Christian Langer, Stefan Knop, Hermann Einsele, Ralf C. Bargou and Lars Bullinger. Their work appears in journals such as Blood, Annals of Hematology, Antibiotics, Cytometry Part A and Journal of Clinical Oncology.

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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