Ewa Wachuła

423 citations
11 papers · 114 · h-index 5

Impact in

Papers in

    • Neuroendocrine Tumor Research Advances 6
    • Lung Cancer Research Studies 2
    • Cancer Treatment and Pharmacology 2
    • Cancer Diagnosis and Treatment 1

Ewa Wachuła

9 papers receiving 114 citations

Peers

Ewa Wachuła
Comparison fields: 5 of 18
  • Neurology 62
  • Epidemiology 92
  • Oncology 69
  • Anesthesiology and Pain Medicine 2
  • Pulmonary and Respiratory Medicine 11
Replace Charlotte M. Heidsma with:
Charlotte M. Heidsma Netherlands
Abakar Mahamat France
Anna Malpaga Italy
Nina Le United States
Davide Papis United Kingdom
D.K. Bartsch Germany
Beatrice Bianchi Italy
Sharmila Sothi United Kingdom
Cliff Cho United States
N Giacomi Argentina
Ewa Wachuła relative to Charlotte M. Heidsma Netherlands Charlotte M. Heidsma's profile →
Citations per field
00.5×
Charlotte M. Heidsma · 1×
Citations per year

Countries citing papers authored by Ewa Wachuła

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Wachuła

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201948
2 201930
3 201614
4 20179
5 20167
6 20152
7 20192
8 20141
9
Extracranial recurrence in the bone marrow of adult medulloblastoma patient - a therapeutic trap.
20151
10 20130
11 20170

About Ewa Wachuła

Ewa Wachuła is a scholar working on Epidemiology, Oncology, Pulmonary and Respiratory Medicine, Genetics and Neurology, having authored 11 papers that have together received 114 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (6 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Research Studies (2 papers), Glioma Diagnosis and Treatment (2 papers), Cancer Treatment and Pharmacology (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Neuroblastoma Research and Treatments (2 papers) and Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Neurology (62 citations), Epidemiology (92 citations), Oncology (69 citations), Anesthesiology and Pain Medicine (2 citations) and Pulmonary and Respiratory Medicine (11 citations). Ewa Wachuła has collaborated with scholars based in Poland, Greece and United Kingdom. Frequent co-authors include Beata Kos‐Kudła, Wojciech Rogowski, Ewa Iżycka‐Świeszewska, Jakub Żołnierek, Eleftherios Chatzellis, David J. Gross, Anna Angelousi, Krystallenia Alexandraki, Kosmas Daskalakis and Gregory Kaltsas. Their work appears in journals such as Future Oncology, Journal of Clinical Oncology, Annals of Translational Medicine, Neuroendocrinology and Journal of Thoracic 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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