T. Sharma
Impact in
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
- Chemical Health and Safety top 5%
Papers in
-
- Chromosomal and Genetic Variations 40
-
- DNA Repair Mechanisms 11
- DNA and Nucleic Acid Chemistry 8
- Co-authors
- B.C. Das (12 shared papers)S. P. Raychaudhuri (11 shared papers)Rajiva Raman (13 shared papers)Awadhesh N. Jha (2 shared papers)L. Singh (3 shared papers)S. K. Sen (4 shared papers)S. P. Pathak (3 shared papers)Inder Gadi (4 shared papers)
- Journals
- Chromosoma (9 papers)Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis (9 papers)Genetica (7 papers)Cytogenetic and Genome Research (4 papers)Cellular and Molecular Life Sciences (4 papers)
- Partner nations
- IndiaGermanyNetherlands
In The Last Decade
T. Sharma
92 papers receiving 861 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 240
- Chemical Health and Safety 11
- Genetics 397
- Plant Science 401
- Radiology, Nuclear Medicine and Imaging 121
Countries citing papers authored by T. Sharma
This map shows the geographic impact of T. 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 T. Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Sharma more than expected).
Fields of papers citing papers by T. Sharma
This network shows the impact of papers produced by T. 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 T. Sharma. The network helps show where T. Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Sharma, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 75 | |
| 2 | 1983 | 72 | |
| 3 | 1971 | 65 | |
| 4 | 1969 | 40 | |
| 5 | 1986 | 32 | |
| 6 | 1983 | 27 | |
| 7 | 1974 | 25 | |
| 8 | 1981 | 24 | |
| 9 | 1986 | 24 | |
| 10 | 1973 | 23 | |
| 11 | 1969 | 22 | |
| 12 | 1996 | 21 | |
| 13 | 1983 | 18 | |
| 14 | 1974 | 17 | |
| 15 | 1970 | 17 | |
| 16 | 1971 | 16 | |
| 17 | 1975 | 15 | |
| 18 | 1998 | 15 | |
| 19 | 1971 | 14 | |
| 20 | 1983 | 14 |
About T. Sharma
T. Sharma is a scholar working on Plant Science, Molecular Biology, Genetics, Surgery and Cancer Research, having authored 99 papers that have together received 928 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (40 papers), Carcinogens and Genotoxicity Assessment (16 papers), Genetic diversity and population structure (13 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (12 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers), DNA Repair Mechanisms (11 papers), Congenital Heart Disease Studies (11 papers) and DNA and Nucleic Acid Chemistry (8 papers). The work is most often cited by research in Cancer Research (240 citations), Chemical Health and Safety (11 citations), Genetics (397 citations), Plant Science (401 citations) and Radiology, Nuclear Medicine and Imaging (121 citations). T. Sharma has collaborated with scholars based in India, Germany and Netherlands. Frequent co-authors include B.C. Das, S. P. Raychaudhuri, Rajiva Raman, Awadhesh N. Jha, L. Singh, S. K. Sen, S. P. Pathak, Inder Gadi, Gaurav Garg and Subrata Sen. Their work appears in journals such as Chromosoma, Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, Genetica, Cytogenetic and Genome Research and Cellular and Molecular Life Sciences.
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.