Eva Galanis

954 citations
14 papers · 763 · h-index 10

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • Glioma Diagnosis and Treatment
    • Cancer Research and Treatments

Papers in

    • Virus-based gene therapy research 5
    • Glioma Diagnosis and Treatment 4
    • Meningioma and schwannoma management 3
    • Virology and Viral Diseases 2

Eva Galanis

14 papers receiving 736 citations

Peers

Eva Galanis
Comparison fields: 5 of 50
  • Genetics 447
  • Genetics 116
  • Biotechnology 99
  • Oncology 270
  • Molecular Biology 335
Replace Tilman Schöning with:
Tilman Schöning Germany
Z. Zu United States
Katharine Bailey United Kingdom
Julia O. Davydova United States
Sophie Cayeux Germany
M.K. Brenner United States
John T. Lam United States
Felix G. Hermann Germany
Karen M. Kaluza United States
Laura M. Tuschong United States
Eva Galanis relative to Tilman Schöning Germany Tilman Schöning's profile →
Citations per field
00.5×2×3×
Tilman Schöning · 1×
Citations per year

Countries citing papers authored by Eva Galanis

Since Specialization
Citations

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

Fields of papers citing papers by Eva Galanis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Hepatic arterial infusion of a replication-selective oncolytic adenovirus (dl1520): phase II viral, immunologic, and clinical endpoints.
2002274
2 2001201
3 201066
4 202164
5 201237
6 201528
7 201628
8 201520
9 201814
10 202011
11 20198
12 19975
13 20045
14 20092

About Eva Galanis

Eva Galanis is a scholar working on Genetics, Genetics, Epidemiology, Infectious Diseases and Oncology, having authored 14 papers that have together received 763 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Glioma Diagnosis and Treatment (4 papers), Meningioma and schwannoma management (3 papers), Brain Metastases and Treatment (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Virology and Viral Diseases (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Genetics (447 citations), Genetics (116 citations), Biotechnology (99 citations), Oncology (270 citations) and Molecular Biology (335 citations). Eva Galanis has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include David H. Kirn, M. Jason Hatfield, Joseph Rubin, James L. Abbruzzese, James C. Andrews, Daniel Y. Sze, T. Reid, Lawrence M. Wein, Margaret J. Uprichard and James Andrews. Their work appears in journals such as Neuro-Oncology, International Journal of Radiation Oncology*Biology*Physics, Current Opinion in Neurology, Gene Therapy and Mayo Clinic Proceedings.

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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