Amit Arora
Impact in
- Molecular Biology top 5%
- DNA and Nucleic Acid Chemistry
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- MicroRNA in disease regulation 4
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- DNA and Nucleic Acid Chemistry 14
- RNA Interference and Gene Delivery 13
- Advanced biosensing and bioanalysis techniques 13
- RNA and protein synthesis mechanisms 6
- Co-authors
- Eric ScholarSouvik MaitiDavid SimpsonVinod ScariaManoj HariharanJens KurreckBeatrix SuessHarleen Kaur
- Journals
- Journal of Clinical Oncology (5 papers)FEBS Journal (4 papers)The Journal of Physical Chemistry B (4 papers)Nucleic Acids Research (3 papers)Gut Pathogens (3 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Amit Arora
71 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 1.8k
- Cancer Research 318
- Oncology 403
- Hematology 125
- Genetics 102
Countries citing papers authored by Amit Arora
This map shows the geographic impact of Amit 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 Amit Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Arora more than expected).
Fields of papers citing papers by Amit Arora
This network shows the impact of papers produced by Amit 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 Amit Arora. The network helps show where Amit Arora may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 5 | |
| 10 | 2019 | 1 | |
| 11 | 2017 | 11 | |
| 12 | 2016 | 8 | |
| 13 | 2014 | 6 | |
| 14 | 2014 | 43 | |
| 15 | 2013 | 3 | |
| 16 | 2009 | 48 | |
| 17 | 2009 | 2 | |
| 18 | 2008 | 193 | |
| 19 | Synthesis of some 1,2,4-triazoles as potential antifungal agents | 2005 | 11 |
| 20 | 2003 | 9 |
About Amit Arora
Amit Arora is a scholar working on Cancer Research, Molecular Biology, Endocrinology, Geriatrics and Gerontology and Molecular Medicine, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (14 papers), RNA Interference and Gene Delivery (13 papers), Advanced biosensing and bioanalysis techniques (13 papers), RNA and protein synthesis mechanisms (6 papers), Colorectal Cancer Surgical Treatments (5 papers), Colorectal and Anal Carcinomas (5 papers), MicroRNA in disease regulation (4 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cancer Research (318 citations), Oncology (403 citations), Hematology (125 citations) and Genetics (102 citations). Amit Arora has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Eric Scholar, Souvik Maiti, David Simpson, Vinod Scaria, Manoj Hariharan, Jens Kurreck, Beatrix Suess, Harleen Kaur, Jesper Wengel and Mariola Dutkiewicz. Their work appears in journals such as Journal of Clinical Oncology, FEBS Journal, The Journal of Physical Chemistry B, Nucleic Acids Research and Gut Pathogens.
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.