Anjali Arora
- Molecular Biology
- Cancer Research top 5%
- Electrical and Electronic Engineering
- Pulmonary and Respiratory Medicine
- Genetics
- Co-authors
- Kumaravel SomasundaramArimappamagan ArivazhaganVani SantoshAnupama HegdeVikas PatilAbhirami VisvanathanEdward J. GracelyJack M. Becker
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)Tuberculosis Research and Epidemiology (2 papers)Workplace Spirituality and Leadership (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaOncogeneScientific Reports
- Partner nations
- IndiaItalyUnited Kingdom
In The Last Decade
Anjali Arora
20 papers receiving 855 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 609
- Cancer Research 367
- Electrical and Electronic Engineering 90
- Pulmonary and Respiratory Medicine 87
- Genetics 67
Countries citing papers authored by Anjali Arora
This map shows the geographic impact of Anjali 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 Anjali Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anjali Arora more than expected).
Fields of papers citing papers by Anjali Arora
This network shows the impact of papers produced by Anjali 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 Anjali Arora. The network helps show where Anjali Arora may publish in the future.
Co-authorship network of co-authors of Anjali Arora
This figure shows the co-authorship network connecting the top 25 collaborators of Anjali Arora. A scholar is included among the top collaborators of Anjali Arora 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 Anjali Arora. Anjali Arora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 33 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 37 | |
| 8 | 17 | |
| 9 | 82 | |
| 10 | Essential role of METTL3-mediated m6A modification in glioma stem-like cells maintenance and radioresistancebreakdown → | 489 |
| 11 | 32 | |
| 12 | 30 | |
| 13 | Adverse Reactions Due to Directly Observed Treatment Short Course Therapy: An Indian Prospective Study | 7 |
| 14 | 19 | |
| 15 | Indirect costs in the treatment of Tuberculosis under DOTS | 1 |
| 16 | 12 | |
| 17 | 11 | |
| 18 | 1 | |
| 19 | 65 | |
| 20 | 7 |
About Anjali Arora
Anjali Arora is a scholar working on Toxicology, Modeling and Simulation and Health Information Management, having authored 20 papers that have together received 870 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Tuberculosis Research and Epidemiology (2 papers) and Workplace Spirituality and Leadership (2 papers). The work is most often cited by research in Cancer Research (367 citations), Molecular Biology (609 citations) and Genetics (67 citations). Anjali Arora has collaborated with scholars based in India, Italy and United Kingdom. Frequent co-authors include Kumaravel Somasundaram, Arimappamagan Arivazhagan, Vani Santosh, Anupama Hegde, Vikas Patil, Abhirami Visvanathan, Edward J. Gracely, Jack M. Becker, Mark Joffe and Helen Sheldon. Their work appears in journals such as SHILAP Revista de lepidopterología, Oncogene and Scientific Reports.
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.