Nina Weichert‐Leahey

52 total papers · 1.4k total citations
10 papers, 427 citations indexed

About

Nina Weichert‐Leahey is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Nina Weichert‐Leahey has authored 10 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Neurology and 3 papers in Genetics. Recurrent topics in Nina Weichert‐Leahey's work include Neuroblastoma Research and Treatments (6 papers), Protein Degradation and Inhibitors (3 papers) and Virus-based gene therapy research (2 papers). Nina Weichert‐Leahey is often cited by papers focused on Neuroblastoma Research and Treatments (6 papers), Protein Degradation and Inhibitors (3 papers) and Virus-based gene therapy research (2 papers). Nina Weichert‐Leahey collaborates with scholars based in United States, China and Singapore. Nina Weichert‐Leahey's co-authors include Richard A. Young, A. Thomas Look, Brian J. Abraham, Adam D. Durbin, Mark W. Zimmerman, Shuning He, Jinghui Zhang, Yu Liu, Zhaodong Li and Shizhen Zhu and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Nature Genetics.

In The Last Decade

Nina Weichert‐Leahey

7 papers receiving 427 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nina Weichert‐Leahey 334 216 100 66 37 10 427
N C Cheng 299 0.9× 147 0.7× 122 1.2× 100 1.5× 99 2.7× 11 454
Jasmien Hoebeeck 324 1.0× 221 1.0× 154 1.5× 88 1.3× 92 2.5× 15 474
Erin R. Okawa 338 1.0× 198 0.9× 134 1.3× 86 1.3× 87 2.4× 13 491
Annika Sprüssel 343 1.0× 141 0.7× 151 1.5× 87 1.3× 37 1.0× 9 471
Zi‐Liang Wu 251 0.8× 231 1.1× 70 0.7× 85 1.3× 27 0.7× 13 404
Nicole A. Groen 287 0.9× 97 0.4× 71 0.7× 44 0.7× 54 1.5× 10 434
Kai‐Oliver Henrich 261 0.8× 238 1.1× 185 1.9× 95 1.4× 46 1.2× 13 439
Daniel Chagnovich 281 0.8× 157 0.7× 78 0.8× 19 0.3× 51 1.4× 9 377
Sally Malik 315 0.9× 75 0.3× 103 1.0× 44 0.7× 45 1.2× 8 367
Yingfeng Xia 255 0.8× 50 0.2× 151 1.5× 46 0.7× 24 0.6× 11 401

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

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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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