Veronika Ecker

599 citations
12 papers · 404 · h-index 8

Impact in

    • Pancreatic and Hepatic Oncology Research
    • Cancer-related Molecular Pathways
    • CAR-T cell therapy research
    • Nanoparticle-Based Drug Delivery

Papers in

    • PI3K/AKT/mTOR signaling in cancer 3
    • Protein Tyrosine Phosphatases 2
    • Chronic Lymphocytic Leukemia Research 5

Veronika Ecker

11 papers receiving 397 citations

Peers

Veronika Ecker
Comparison fields: 5 of 72
  • Oncology 149
  • Biomaterials 64
  • Genetics 48
  • Hematology 44
  • Cancer Research 49
Replace Gurpreet Lamba with:
Gurpreet Lamba United States
Runzhe Chen China
Shamudheen Mohammed Rafiyath United States
Peter Cheverton United Kingdom
Lihua Qiu China
Kyriaki Tzogani Netherlands
Elisa De Camilli Italy
Alessandra Bulotta Italy
Austin J. Combest United States
Veronika Ecker relative to Gurpreet Lamba United States Gurpreet Lamba's profile →
Citations per field
00.5×1.5×2.5×
Gurpreet Lamba · 1×
Citations per year

Countries citing papers authored by Veronika Ecker

Since Specialization
Citations

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

Fields of papers citing papers by Veronika Ecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2018107
2 201490
3 201353
4 202150
5 201830
6 202225
7 202022
8 202015
9 20237
10 20184
11 20241
12 20240

About Veronika Ecker

Veronika Ecker is a scholar working on Molecular Biology, Genetics, Hematology, Immunology and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 404 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Phagocytosis and Immune Regulation (2 papers), Protein Tyrosine Phosphatases (2 papers), Acute Myeloid Leukemia Research (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Autopsy Techniques and Outcomes (1 paper). The work is most often cited by research in Oncology (149 citations), Biomaterials (64 citations), Genetics (48 citations), Hematology (44 citations) and Cancer Research (49 citations). Veronika Ecker has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Maike Buchner, Raymond M. Schiffelers, Marcel H.A.M. Fens, Aida Varela-Moreira, Sanjay N. Mandhane, Nicholas J. Dyson, Rushika M. Perera, Brandon Nicolay, Nabeel Bardeesy and Cyril H. Benes. Their work appears in journals such as Blood, Science Translational Medicine, Clinical Cardiology, International Journal of Pharmaceutics and Nature Communications.

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