Sonali Arora
Impact in
Papers in
-
- RNA Research and Splicing 8
- CRISPR and Genetic Engineering 5
- Single-cell and spatial transcriptomics 3
- Molecular Biology Techniques and Applications 3
- Co-authors
- Eric C. Holland (16 shared papers)Frank Szulzewsky (15 shared papers)Hamid Bolouri (9 shared papers)Youngmi Kim (2 shared papers)A. McGarry Houghton (2 shared papers)Nduka Amankulor (1 shared paper)Jeff Delrow (1 shared paper)Aparna Rao (1 shared paper)
- Journals
- Neuro-Oncology (7 papers)Genes & Development (5 papers)Scientific Reports (4 papers)Nature Communications (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesSouth AfricaGermany
In The Last Decade
Sonali Arora
38 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Genetics 331
- Neurology 115
- Cancer Research 198
- Immunology 248
- Molecular Biology 415
Countries citing papers authored by Sonali Arora
This map shows the geographic impact of Sonali Arora'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 Sonali Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonali Arora more than expected).
Fields of papers citing papers by Sonali Arora
This network shows the impact of papers produced by Sonali Arora. 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 Sonali Arora. The network helps show where Sonali Arora may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonali Arora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 290 | |
| 2 | 2016 | 85 | |
| 3 | 2020 | 62 | |
| 4 | 2019 | 55 | |
| 5 | 2019 | 42 | |
| 6 | 2018 | 39 | |
| 7 | 2018 | 39 | |
| 8 | 2020 | 38 | |
| 9 | 2017 | 37 | |
| 10 | 2021 | 37 | |
| 11 | 2022 | 32 | |
| 12 | 2020 | 28 | |
| 13 | 2021 | 28 | |
| 14 | 2016 | 25 | |
| 15 | 2019 | 24 | |
| 16 | 2018 | 22 | |
| 17 | 2023 | 20 | |
| 18 | 2021 | 18 | |
| 19 | 2020 | 16 | |
| 20 | 2023 | 16 |
About Sonali Arora
Sonali Arora is a scholar working on Molecular Biology, Cancer Research, Genetics, Cell Biology and Surgery, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Glioma Diagnosis and Treatment (5 papers), CRISPR and Genetic Engineering (5 papers), Bladder and Urothelial Cancer Treatments (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Single-cell and spatial transcriptomics (3 papers), Immune cells in cancer (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Genetics (331 citations), Neurology (115 citations), Cancer Research (198 citations), Immunology (248 citations) and Molecular Biology (415 citations). Sonali Arora has collaborated with scholars based in United States, South Africa and Germany. Frequent co-authors include Eric C. Holland, Frank Szulzewsky, Hamid Bolouri, Youngmi Kim, A. McGarry Houghton, Nduka Amankulor, Jeff Delrow, Aparna Rao, Daciana Margineantu and Julia Kargl. Their work appears in journals such as Neuro-Oncology, Genes & Development, Scientific Reports, Nature Communications and PLoS ONE.
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.