Aishwarya Nene

1.2k total citations · 2 hit papers
9 papers, 840 citations indexed

About

Aishwarya Nene is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Aishwarya Nene has authored 9 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Oncology. Recurrent topics in Aishwarya Nene's work include CAR-T cell therapy research (2 papers), Alzheimer's disease research and treatments (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Aishwarya Nene is often cited by papers focused on CAR-T cell therapy research (2 papers), Alzheimer's disease research and treatments (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Aishwarya Nene collaborates with scholars based in United States, United Kingdom and Australia. Aishwarya Nene's co-authors include Arnold R. Kriegstein, Alex A. Pollen, Anthony Wynshaw‐Boris, Marina Bershteyn, Tomasz J. Nowakowski, Elizabeth Di Lullo, Hiruy S. Meharena, Susan S. Taylor, Krishnadev Oruganty and Alexandr P. Kornev and has published in prestigious journals such as Nature Medicine, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Aishwarya Nene

8 papers receiving 795 citations

Hit Papers

Human iPSC-Derived Cerebral Organoids Model Cellular Feat... 2017 2026 2020 2023 2017 2022 100 200 300 400

Peers

Aishwarya Nene
Comparison fields: 5 of 82
  • Molecular Biology 532
  • Oncology 215
  • Developmental Neuroscience 134
  • Biomedical Engineering 128
  • Immunology 93
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Citations per field, relative to Aishwarya Nene
Aishwarya Nene · 1×
Citations per year, relative to Aishwarya Nene
Aishwarya Nene · 1×

Countries citing papers authored by Aishwarya Nene

Since Specialization
Citations

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

Fields of papers citing papers by Aishwarya Nene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aishwarya Nene

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 0
2 9
3
T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanoma breakdown →
180
4 25
5 1
6 35
7 17
8
Human iPSC-Derived Cerebral Organoids Model Cellular Features of Lissencephaly and Reveal Prolonged Mitosis of Outer Radial Glia breakdown →
404
9 169

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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