Rekha Sharma
- Materials Chemistry
- Genetics
- Molecular Biology
- Biomedical Engineering
- Water Science and Technology top 10%
- Co-authors
- Dinesh KumarAnkita DhillonVivek DaveSonika AhlawatKajal TakSwapnil SharmaSmita JainSapna Raghav
- Topics
- Genetic and phenotypic traits in livestock (11 papers)Genetic diversity and population structure (7 papers)Adsorption and biosorption for pollutant removal (6 papers)
- Journals
- NatureSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Rekha Sharma
48 papers receiving 677 citations
Peers
Comparison fields: 5 of 104
- Materials Chemistry 169
- Genetics 168
- Molecular Biology 119
- Biomedical Engineering 116
- Water Science and Technology 113
Countries citing papers authored by Rekha Sharma
This map shows the geographic impact of Rekha 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 Rekha Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rekha Sharma more than expected).
Fields of papers citing papers by Rekha Sharma
This network shows the impact of papers produced by Rekha 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 Rekha Sharma. The network helps show where Rekha Sharma may publish in the future.
Co-authorship network of co-authors of Rekha Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Rekha Sharma. A scholar is included among the top collaborators of Rekha 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 Rekha Sharma. Rekha 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 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 45 | |
| 15 | 101 | |
| 16 | 22 | |
| 17 | A study on impact of foreign direct investment in retail sector | 2 |
| 18 | Use of Variamine Blue dye in Spectrophotometric determination of Water Soluble Cr(VI) in Portland Cement | 4 |
| 19 | Estimation of genetic variability parameters in Kumaun hill cattle (Kumauni cattle) by STR markers | 1 |
| 20 | Genetic variation in Beetal goat breed assest by microsatellite DNA profiling | 1 |
About Rekha Sharma
Rekha Sharma is a scholar working on Water Science and Technology, Genetics and Animal Science and Zoology, having authored 54 papers that have together received 717 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (11 papers), Genetic diversity and population structure (7 papers) and Adsorption and biosorption for pollutant removal (6 papers). The work is most often cited by research in Water Science and Technology (113 citations), Genetics (168 citations) and Geochemistry and Petrology (30 citations). Rekha Sharma has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Dinesh Kumar, Ankita Dhillon, Vivek Dave, Sonika Ahlawat, Kajal Tak, Swapnil Sharma, Smita Jain, Sapna Raghav, Piyush Kant Pandey and Arindam Kuila. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Scientific Reports.
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.