Mieke Ptaszynski

412 citations
14 papers · 336 · h-index 9

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
    • Microtubule and mitosis dynamics

Papers in

    • Acute Myeloid Leukemia Research 3
    • Multiple Myeloma Research and Treatments 3
    • Chronic Myeloid Leukemia Treatments 2
    • HER2/EGFR in Cancer Research 2

Mieke Ptaszynski

14 papers receiving 323 citations

Peers

Mieke Ptaszynski
Comparison fields: 5 of 38
  • Hematology 102
  • Cell Biology 114
  • Oncology 93
  • Molecular Biology 218
  • Genetics 22
Replace Selena Armistead Rush with:
Selena Armistead Rush United States
Kasper Westinga Netherlands
Mika Teratani Japan
Justin N. Huard United States
Hannah McCalmont Australia
Sonia Zaghdoudi France
Takao Morinaga Japan
Chunlan Hua China
Chia Yin Goh Ireland
Claudia Mäck Germany
Mieke Ptaszynski relative to Selena Armistead Rush United States Selena Armistead Rush's profile →
Citations per field
00.5×1.6×
Selena Armistead Rush · 1×
Citations per year

Countries citing papers authored by Mieke Ptaszynski

Since Specialization
Citations

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

Fields of papers citing papers by Mieke Ptaszynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201160
2 201452
3 201749
4 201544
5 201634
6 200427
7 200117
8 200413
9 202112
10 20159
11 20136
12 20165
13 20215
14 20093

About Mieke Ptaszynski

Mieke Ptaszynski is a scholar working on Hematology, Oncology, Cell Biology, Genetics and Hepatology, having authored 14 papers that have together received 336 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Microtubule and mitosis dynamics (3 papers), Multiple Myeloma Research and Treatments (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Advanced Breast Cancer Therapies (2 papers), Protein Degradation and Inhibitors (2 papers), Cancer therapeutics and mechanisms (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Hematology (102 citations), Cell Biology (114 citations), Oncology (93 citations), Molecular Biology (218 citations) and Genetics (22 citations). Mieke Ptaszynski has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Selena Armistead Rush, Kevin S. Litwiler, Hagop Kantarjian, Guillermo Garcia‐Manero, Heidi M. Simmons, Hanna Jean Khoury, Brandi W. Hilder, Duncan H. Walker, Jonathan L. Kaufman and Jeffrey A. Zonder. Their work appears in journals such as Blood, Annals of Oncology, Cancer, Investigational New Drugs and Anti-Cancer Drugs.

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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