Violette Shahbazian

6 papers receiving 410 citations

Peers

Violette Shahbazian
Comparison fields: 5 of 46
  • Pulmonary and Respiratory Medicine 270
  • Molecular Biology 214
  • Oncology 97
  • Pathology and Forensic Medicine 92
  • Cancer Research 84
Replace Hanna-Riikka Heinonen with:
Hanna-Riikka Heinonen Finland
Kotaro Mizuno Japan
Melissa H.S. Roeffen Netherlands
Klaus-Peter Kuenkele Germany
William S. Tung United States
S. J. Lee United Kingdom
Mee‐Hye Oh South Korea
T Honda Japan
Peter R. Carroll United States
A Koch Germany
Violette Shahbazian relative to Hanna-Riikka Heinonen Finland Hanna-Riikka Heinonen's profile →
Citations per field
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Hanna-Riikka Heinonen · 1×
Citations per year

Countries citing papers authored by Violette Shahbazian

Since Specialization
Citations

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

Fields of papers citing papers by Violette Shahbazian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Violette Shahbazian

This figure shows the co-authorship network connecting the top 25 collaborators of Violette Shahbazian. A scholar is included among the top collaborators of Violette Shahbazian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Violette Shahbazian. Violette Shahbazian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 83
2 38
3 234
4
The PAX-FKHR fusion proteins transcriptionally activate MyoD while inhibiting its function, thereby inducing a limited myogenic phenotype resembling that of alveolar rhabdomyosarcoma
1
5 4
6 55

About Violette Shahbazian

Violette Shahbazian is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 6 papers that have together received 415 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (4 papers), RNA modifications and cancer (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (270 citations), Cancer Research (84 citations) and Pathology and Forensic Medicine (92 citations). Violette Shahbazian has collaborated with scholars based in United States and China. Frequent co-authors include Friedrich Graf Finckenstein, Timothy J. Triche, Elai Davicioni, Jonathan D. Buckley, Michael J. Anderson, Michael J. Anderson, Hiroyuki Shimada, Yue-Xin Ren, Kenneth I. Weinberg and Diana Abdueva. Their work appears in journals such as Cancer Research, Oncogene and Biochemical and Biophysical Research 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.

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