Archana Sharma
- Plant Science top 5%
- Molecular Biology
- Cancer Research top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Genetics
- Co-authors
- Arun Kumar SharmaGeeta TalukderT. SatyanarayanaYutaka KawarabayasiAshok K. GiriKalpana AgarwalRita BasuAnita Mukherjee
- Topics
- Carcinogens and Genotoxicity Assessment (24 papers)DNA Repair Mechanisms (5 papers)Enzyme Production and Characterization (5 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Archana Sharma
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Plant Science 595
- Molecular Biology 581
- Cancer Research 244
- Ecology, Evolution, Behavior and Systematics 175
- Genetics 148
Countries citing papers authored by Archana Sharma
This map shows the geographic impact of Archana Sharma'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 Archana Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Archana Sharma more than expected).
Fields of papers citing papers by Archana Sharma
This network shows the impact of papers produced by Archana Sharma. 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 Archana Sharma. The network helps show where Archana Sharma may publish in the future.
Co-authorship network of co-authors of Archana Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Archana Sharma. A scholar is included among the top collaborators of Archana Sharma 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 Archana Sharma. Archana Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Duplex polymerase chain reaction for detection of coagulase and beta-haemolysin genes of Staphylococcus aureus isolated from bovine clinical mastitis. | 1 |
| 3 | 47 | |
| 4 | 13 | |
| 5 | 8 | |
| 6 | 88 | |
| 7 | 36 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | Soil physical properties and paddy yield as influenced by puddling methods. | 2 |
| 11 | Puddling, Soil Physical Environment and Rice Growth on a Typic Ustochrept | 2 |
| 12 | 22 | |
| 13 | 78 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 5 | |
| 17 | 14 | |
| 18 | 51 | |
| 19 | Advances in chromosome and cell genetics | 25 |
| 20 | Chromosomes in evolution of eukaryotic groups | 160 |
About Archana Sharma
Archana Sharma is a scholar working on Cancer Research, Biotechnology and Health, Toxicology and Mutagenesis, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (24 papers), DNA Repair Mechanisms (5 papers) and Enzyme Production and Characterization (5 papers). The work is most often cited by research in Cancer Research (244 citations), Plant Science (595 citations) and Biotechnology (139 citations). Archana Sharma has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Arun Kumar Sharma, Geeta Talukder, T. Satyanarayana, Yutaka Kawarabayasi, Ashok K. Giri, Kalpana Agarwal, Rita Basu, Anita Mukherjee, Soumitra Sen and Arun Kumar Sharma. Their work appears in journals such as Nature, Cancer Letters and International Journal of Biological Macromolecules.
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.