Uma Sharma
- Molecular Biology
- Plant Science
- Pharmacology top 10%
- Food Science
- Complementary and alternative medicine
- Co-authors
- Abhay K. PandeyAmit Kumar SharmaThakur Gurjeet SinghKomal ThapaHeena KhanAmarjot Kaur GrewalAshutosh GuptaRamesh Kumar
- Topics
- Natural Antidiabetic Agents Studies (3 papers)Wireless Communication Networks Research (3 papers)Mobile Ad Hoc Networks (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaLife SciencesFood and Chemical Toxicology
- Partner nations
- IndiaUnited States
In The Last Decade
Uma Sharma
26 papers receiving 324 citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 78
- Plant Science 57
- Pharmacology 44
- Food Science 40
- Complementary and alternative medicine 35
Countries citing papers authored by Uma Sharma
This map shows the geographic impact of Uma 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 Uma Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Sharma more than expected).
Fields of papers citing papers by Uma Sharma
This network shows the impact of papers produced by Uma 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 Uma Sharma. The network helps show where Uma Sharma may publish in the future.
Co-authorship network of co-authors of Uma Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Uma Sharma. A scholar is included among the top collaborators of Uma 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 Uma Sharma. Uma 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 | Fake News Detection using Machine Learning Algorithms | 22 |
| 2 | 69 | |
| 3 | 18 | |
| 4 | 0 | |
| 5 | 77 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | Power Optimization Techniques in Wireless Sensor Network by using Packet Profile based Scheme | 2 |
| 15 | Comparative evaluation of three buffalo populations using microsatellite markers | 3 |
| 16 | Estimation of genetic distance using allele frequencies at microsatellite loci in buffalo populations | 1 |
| 17 | 16 | |
| 18 | Electrophysiological and histopathological changes in peripheral nerves of postnatally undernourished and rehabilitated young rhesus monkeys. | 4 |
| 19 | 7 | |
| 20 | 1 |
About Uma Sharma
Uma Sharma is a scholar working on Computer Networks and Communications, Biochemistry and Software, having authored 29 papers that have together received 347 indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (3 papers), Wireless Communication Networks Research (3 papers) and Mobile Ad Hoc Networks (3 papers). The work is most often cited by research in Pharmacology (44 citations), Biochemistry (27 citations) and Complementary and alternative medicine (35 citations). Uma Sharma has collaborated with scholars based in India and United States. Frequent co-authors include Abhay K. Pandey, Amit Kumar Sharma, Thakur Gurjeet Singh, Komal Thapa, Heena Khan, Amarjot Kaur Grewal, Ashutosh Gupta, Ramesh Kumar, Risha Ganguly and Amit Kumar Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, Life Sciences and Food and Chemical Toxicology.
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.