Aruna S. Jaiswal
- Molecular Medicine top 5%
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment 5
- Oncology top 5%
- Cancer-related Molecular Pathways 16
- Molecular Biology top 10%
- DNA Repair Mechanisms 34
- CRISPR and Genetic Engineering 7
- Genomics and Chromatin Dynamics 6
- RNA Research and Splicing 5
- RNA modifications and cancer 4
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- Genetic factors in colorectal cancer 14
- Co-authors
- Satya NarayanNirupama GuptaRamesh BalusuRobert HromasC. Gary GairolaElizabeth A. WilliamsonLinda B. BloomChanakya Nath Kundu
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (4 papers)
- Partner nations
- United StatesSouth KoreaSouth Africa
In The Last Decade
Aruna S. Jaiswal
51 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 93
- Molecular Medicine 150
- Cancer Research 292
- Oncology 485
- Molecular Biology 1.2k
- Pathology and Forensic Medicine 225
Countries citing papers authored by Aruna S. Jaiswal
This map shows the geographic impact of Aruna S. Jaiswal'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 Aruna S. Jaiswal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aruna S. Jaiswal more than expected).
Fields of papers citing papers by Aruna S. Jaiswal
This network shows the impact of papers produced by Aruna S. Jaiswal. 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 Aruna S. Jaiswal. The network helps show where Aruna S. Jaiswal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aruna S. Jaiswal, 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 | 2023 | 15 | |
| 2 | 2023 | 10 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 4 | |
| 5 | 2019 | 11 | |
| 6 | 2017 | 33 | |
| 7 | 2017 | 33 | |
| 8 | 2017 | 46 | |
| 9 | 2016 | 19 | |
| 10 | 2012 | 10 | |
| 11 | 2011 | 44 | |
| 12 | 2009 | 41 | |
| 13 | 2009 | 16 | |
| 14 | A novel role of adenomatous polyposis coli (APC) in DNA repair and carcinogenesis | 2005 | 1 |
| 15 | 2004 | 45 | |
| 16 | 2004 | 60 | |
| 17 | 2004 | 5 | |
| 18 | 2004 | 53 | |
| 19 | 2002 | 1 | |
| 20 | 2002 | 308 |
About Aruna S. Jaiswal
Aruna S. Jaiswal is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (34 papers), Cancer-related Molecular Pathways (16 papers), Genetic factors in colorectal cancer (14 papers), CRISPR and Genetic Engineering (7 papers), Genomics and Chromatin Dynamics (6 papers), Carcinogens and Genotoxicity Assessment (5 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Molecular Medicine (150 citations), Cancer Research (292 citations) and Oncology (485 citations). Aruna S. Jaiswal has collaborated with scholars based in United States, South Korea and South Africa. Frequent co-authors include Satya Narayan, Nirupama Gupta, Ramesh Balusu, Robert Hromas, C. Gary Gairola, Elizabeth A. Williamson, Linda B. Bloom, Chanakya Nath Kundu, Harekrushna Panda and Jac A. Nickoloff. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.