Nina Weichert‐Leahey

1.4k citations
10 papers · 427 indexed · h-index 6
Topics
Neuroblastoma Research and Treatments (6 papers)Protein Degradation and Inhibitors (3 papers)Virus-based gene therapy research (2 papers)

In The Last Decade

Nina Weichert‐Leahey

7 papers receiving 427 citations

Peers

Nina Weichert‐Leahey
Comparison fields: 5 of 35
  • Molecular Biology 334
  • Neurology 217
  • Cancer Research 100
  • Oncology 66
  • Genetics 37
Replace Marianna Avitabile with:
Marianna Avitabile Italy
Franciska Haneveld Netherlands
Clark M. Hatheway United States
Edward Favours United States
A G McGuckin United Kingdom
Anders Valind Sweden
Valeria Colicchia Italy
Stefanie Schlierf Germany
Angela Bellini France
Yen Tran United States
Nina Weichert‐Leahey relative to Marianna Avitabile Italy Marianna Avitabile's profile →
Citations per field
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Marianna Avitabile · 1×
Citations per year

Countries citing papers authored by Nina Weichert‐Leahey

Since Specialization
Citations

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

Fields of papers citing papers by Nina Weichert‐Leahey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina Weichert‐Leahey. 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 Nina Weichert‐Leahey. The network helps show where Nina Weichert‐Leahey may publish in the future.

Co-authorship network of co-authors of Nina Weichert‐Leahey

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Weichert‐Leahey. A scholar is included among the top collaborators of Nina Weichert‐Leahey 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 Nina Weichert‐Leahey. Nina Weichert‐Leahey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 0
3 8
4 9
5 0
6 54
7 145
8
c-MYC drives a subset of high-risk pediatric neuroblastomas and is activated through mechanisms including enhancer hijacking and focal enhancer amplification
2
9 147
10 62

About Nina Weichert‐Leahey

Nina Weichert‐Leahey is a scholar working on Neurology, Hematology and Immunology and Allergy, having authored 10 papers that have together received 427 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (6 papers), Protein Degradation and Inhibitors (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Neurology (217 citations), Cancer Research (100 citations) and Molecular Biology (334 citations). Nina Weichert‐Leahey has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Richard A. Young, Brian J. Abraham, A. Thomas Look, Adam D. Durbin, Mark W. Zimmerman, Shuning He, Zhaodong Li, Jinghui Zhang, Yu Liu and Shizhen Zhu. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Nature Genetics.

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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