Anna Ringler

777 citations
11 papers · 599 · h-index 10

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 1
    • Cancer Immunotherapy and Biomarkers 1
    • Cancer-related Molecular Pathways 1

Anna Ringler

11 papers receiving 591 citations

Peers

Anna Ringler
Comparison fields: 5 of 57
  • Hematology 82
  • Genetics 41
  • Cancer Research 58
  • Oncology 88
  • Molecular Biology 223
Replace Miriam M. Yeung with:
Miriam M. Yeung Australia
Loretta S. Li United States
Izabela Todorovski Australia
Jörg Mengwasser Germany
Rebecca Goldstein United States
Ryan J. Chuang United States
Stefano Marastoni Italy
Isabella Boyle United States
Zuzana Tatárová United States
Demetrios Aspris United Kingdom
Anna Ringler relative to Miriam M. Yeung Australia Miriam M. Yeung's profile →
Citations per field
00.5×2×2.7×
Miriam M. Yeung · 1×
Citations per year

Countries citing papers authored by Anna Ringler

Since Specialization
Citations

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

Fields of papers citing papers by Anna Ringler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2017135
2 2019102
3 201967
4 201866
5 201764
6 201942
7 201739
8 201936
9 201731
10 201710
11 20207

About Anna Ringler

Anna Ringler is a scholar working on Hematology, Oncology, Genetics, Pulmonary and Respiratory Medicine and Rheumatology, having authored 11 papers that have together received 599 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Protein Degradation and Inhibitors (1 paper), Acute Myeloid Leukemia Research (1 paper), Cancer-related Molecular Pathways (1 paper) and Veterinary Oncology Research (1 paper). The work is most often cited by research in Hematology (82 citations), Genetics (41 citations), Cancer Research (58 citations), Oncology (88 citations) and Molecular Biology (223 citations). Anna Ringler has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Stefan Kubicek, Bernd Boidol, Jörg Menche, Peter Májek, Katja Parapatics, André C. Müller, André F. Rendeiro, Guido Boehmelt, Thomas Penz and Mark P. Petronczki. Their work appears in journals such as Nature Chemical Biology, Nature Genetics, Molecular Cell, Oncotarget and Cancer Discovery.

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.

Explore authors with similar magnitude of impact