Eva M. Goetz

2.2k citations
7 papers · 257 · h-index 6

Impact in

    • Clusterin in disease pathology
    • Cytokine Signaling Pathways and Interactions
    • Cancer Genomics and Diagnostics

Papers in

    • Melanoma and MAPK Pathways 4
    • FOXO transcription factor regulation 1
    • Clusterin in disease pathology 2

Eva M. Goetz

7 papers receiving 257 citations

Peers

Eva M. Goetz
Comparison fields: 5 of 46
  • Oncology 82
  • Cancer Research 45
  • Molecular Biology 196
  • Pathology and Forensic Medicine 29
  • Computational Theory and Mathematics 26
Replace Philipp Raffeiner with:
Philipp Raffeiner Austria
Chon Lai United States
Valeria Sanabria Guillen United States
Paul D. Eve United Kingdom
Berta Martín Spain
Ting Jin China
Lon Wolf R. Fong United States
Hanwen Xu United States
Eliana MC Tacconi United Kingdom
A Kahn United States
Eva M. Goetz relative to Philipp Raffeiner Austria Philipp Raffeiner's profile →
Citations per field
00.5×1.6×
Philipp Raffeiner · 1×
Citations per year

Countries citing papers authored by Eva M. Goetz

Since Specialization
Citations

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

Fields of papers citing papers by Eva M. Goetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 201691
2 201481
3 201139
4 201224
5 198313
6 20125
7 20134

About Eva M. Goetz

Eva M. Goetz is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cancer Research and Computational Theory and Mathematics, having authored 7 papers that have together received 257 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Cancer Mechanisms and Therapy (2 papers), Computational Drug Discovery Methods (2 papers), Cancer Genomics and Diagnostics (2 papers), Clusterin in disease pathology (2 papers), Biomarkers in Disease Mechanisms (1 paper), Potato Plant Research (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Oncology (82 citations), Cancer Research (45 citations), Molecular Biology (196 citations), Pathology and Forensic Medicine (29 citations) and Computational Theory and Mathematics (26 citations). Eva M. Goetz has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Levi A. Garraway, Nikhil Wagle, Daniel J. Treacy, Mahmoud Ghandi, Xin Luo, Shinako Araki, David A. Boothman, Cory M. Johannessen, Gad Getz and Cong Zhu. Their work appears in journals such as Oncogene, Journal of Clinical Oncology, Potato Research, Cell Reports and Cancer Research.

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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