Aruna S. Jaiswal
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- DNA Repair Mechanisms 33
- CRISPR and Genetic Engineering 6
- RNA Research and Splicing 5
- Genomics and Chromatin Dynamics 5
- Oncology 22
- Cancer-related Molecular Pathways 16
- Co-authors
- Satya Narayan (39 shared papers)Nirupama Gupta (1 shared paper)Ramesh Balusu (7 shared papers)Robert Hromas (18 shared papers)C. Gary Gairola (5 shared papers)Elizabeth A. Williamson (13 shared papers)Linda B. Bloom (2 shared papers)Chanakya Nath Kundu (4 shared papers)
- Journals
- Oncogene (5 papers)Biochemistry (4 papers)Journal of Biological Chemistry (4 papers)PLoS ONE (3 papers)Journal of Cellular Biochemistry (3 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 89
- Molecular Medicine 142
- Cancer Research 267
- Oncology 437
- Molecular Biology 1.1k
- Pathology and Forensic Medicine 210
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-authors
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
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 306 | |
| 2 | 1997 | 74 | |
| 3 | 2008 | 70 | |
| 4 | 2004 | 60 | |
| 5 | 2001 | 53 | |
| 6 | 2004 | 53 | |
| 7 | 2008 | 49 | |
| 8 | 2002 | 46 | |
| 9 | 2017 | 46 | |
| 10 | 2004 | 45 | |
| 11 | 2011 | 44 | |
| 12 | 2009 | 40 | |
| 13 | 2001 | 40 | |
| 14 | 2006 | 37 | |
| 15 | 2006 | 34 | |
| 16 | 2017 | 33 | |
| 17 | 2017 | 33 | |
| 18 | 2007 | 31 | |
| 19 | 2015 | 31 | |
| 20 | 2021 | 30 |
About Aruna S. Jaiswal
Aruna S. Jaiswal is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cancer Research and Cell Biology, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (33 papers), Cancer-related Molecular Pathways (16 papers), Genetic factors in colorectal cancer (14 papers), CRISPR and Genetic Engineering (6 papers), RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (5 papers), Cancer Genomics and Diagnostics (4 papers) and Carcinogens and Genotoxicity Assessment (4 papers). The work is most often cited by research in Molecular Medicine (142 citations), Cancer Research (267 citations), Oncology (437 citations), Molecular Biology (1.1k citations) and Pathology and Forensic Medicine (210 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, Jac A. Nickoloff and Harekrushna Panda. Their work appears in journals such as Oncogene, Biochemistry, Journal of Biological Chemistry, PLoS ONE and Journal of Cellular Biochemistry.
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.