Anna Paczulla

1.2k citations
12 papers · 894 · h-index 8

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

    • Cancer Cells and Metastasis 5
    • Hematopoietic Stem Cell Transplantation 3
    • Acute Myeloid Leukemia Research 2

Anna Paczulla

12 papers receiving 881 citations

Peers

Anna Paczulla
Comparison fields: 5 of 81
  • Hematology 186
  • Immunology 264
  • Oncology 307
  • Cancer Research 109
  • Genetics 74
Replace Talía Velasco-Hernández with:
Talía Velasco-Hernández Spain
Alan K. Ikeda United States
N. J. Philpott United Kingdom
James John Ignatz-Hoover United States
Johan Aurelius Sweden
Xiao–Tang Kong United States
Rita Fragoso Portugal
Alice Cani Italy
Melanie Heinlein United States
Alaa Kassim Ali Canada
Anna Paczulla relative to Talía Velasco-Hernández Spain Talía Velasco-Hernández's profile →
Citations per field
00.5×1.5×
Talía Velasco-Hernández · 1×
Citations per year

Countries citing papers authored by Anna Paczulla

Since Specialization
Citations

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

Fields of papers citing papers by Anna Paczulla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2019294
2 2013204
3 2013130
4 2018121
5 201537
6 201736
7 201927
8 201726
9 20178
10 20157
11 20153
12 20131

About Anna Paczulla

Anna Paczulla is a scholar working on Oncology, Hematology, Cell Biology, Molecular Biology and Genetics, having authored 12 papers that have together received 894 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Pluripotent Stem Cells Research (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Acute Myeloid Leukemia Research (2 papers), Microtubule and mitosis dynamics (2 papers), Renal and related cancers (2 papers), Cellular Mechanics and Interactions (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Hematology (186 citations), Immunology (264 citations), Oncology (307 citations), Cancer Research (109 citations) and Genetics (74 citations). Anna Paczulla has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Claudia Lengerke, Thomas C. Klonisch, Vivek Reddy Palicharla, Frank Schweizer, Karin B. Roberg, Padideh Davoodpour, Marek Jan Łos, Mayur Vilas Jain, Subbareddy Maddika and Martina Konantz. Their work appears in journals such as Journal of Visualized Experiments, Cancer Research, Haematologica, Nature and Experimental Hematology.

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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