Eva Westphal

457 citations
10 papers · 420 · h-index 8

Impact in

  • Oncology top 10%
    • Viral-associated cancers and disorders
    • Cancer-related Molecular Pathways
    • Head and Neck Cancer Studies

Papers in

    • Virus-based gene therapy research 6
    • Viral-associated cancers and disorders 3
    • Cancer-related Molecular Pathways 1

Eva Westphal

10 papers receiving 404 citations

Peers

Eva Westphal
Comparison fields: 5 of 43
  • Oncology 251
  • Otorhinolaryngology 14
  • Genetics 61
  • Molecular Biology 98
  • Transplantation 5
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Citations per field
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Citations per year

Countries citing papers authored by Eva Westphal

Since Specialization
Citations

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

Fields of papers citing papers by Eva Westphal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Activation of lytic Epstein-Barr virus (EBV) infection by radiation and sodium butyrate in vitro and in vivo: a potential method for treating EBV-positive malignancies.
2000134
2 199876
3
Induction of lytic Epstein-Barr virus (EBV) infection in EBV-associated malignancies using adenovirus vectors in vitro and in vivo.
199971
4 200250
5 199836
6 199829
7 200210
8
Clinical relevance of cytotoxic T-cell precursor (p-CTL) frequencies in allograft recipients.
19908
9
Self-deleting suicide vectors (SDSV): selective killing of p53-deficient cancer cells.
20015
10 19981

About Eva Westphal

Eva Westphal is a scholar working on Genetics, Oncology, Immunology, Transplantation and Surgery, having authored 10 papers that have together received 420 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Viral-associated cancers and disorders (3 papers), Renal Transplantation Outcomes and Treatments (1 paper), Genomics and Chromatin Dynamics (1 paper), Cancer-related Molecular Pathways (1 paper), T-cell and B-cell Immunology (1 paper), Psoriasis: Treatment and Pathogenesis (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Oncology (251 citations), Otorhinolaryngology (14 citations), Genetics (61 citations), Molecular Biology (98 citations) and Transplantation (5 citations). Eva Westphal has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Shannon C. Kenney, William A. Blackstock, Bruce F. Israel, Wenhai Feng, Amy Mauser, Christine L. Talarico, M G Davis, Kuang‐Ming Hsiao, David S. Franklin and Yue Xiong. Their work appears in journals such as Human Gene Therapy, Journal of Dermatological Science, Journal of Virology, Current Pharmaceutical Design and Molecular and Cellular Biology.

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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