Ritika Gupta
Impact in
- Biomedical Engineering top 10%
- Biosensors and Analytical Detection
- Graphene and Nanomaterials Applications
- Pharmaceutical Science top 10%
Papers in
-
- Biosensors and Analytical Detection 8
- Graphene and Nanomaterials Applications 4
-
- Advanced biosensing and bioanalysis techniques 6
- Co-authors
- Nitin Kumar Singhal (12 shared papers)Neeraj Agarwal (2 shared papers)Sandeep Kumar (2 shared papers)Anil Kumar Pinnaka (2 shared papers)Amit Kumar (1 shared paper)Amrish Kumar (1 shared paper)Nitesh Priyadarshi (6 shared papers)Pavan Manohar Patil (1 shared paper)
- Journals
- Sensors and Actuators B Chemical (3 papers)ACS Applied Materials & Interfaces (2 papers)Microchemical Journal (2 papers)Scientific Reports (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Ritika Gupta
51 papers receiving 787 citations
Peers
Comparison fields: 5 of 127
- Biomedical Engineering 284
- Pharmaceutical Science 38
- Drug Discovery 1
- Molecular Biology 310
- Infectious Diseases 76
Countries citing papers authored by Ritika Gupta
This map shows the geographic impact of Ritika Gupta'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 Ritika Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritika Gupta more than expected).
Fields of papers citing papers by Ritika Gupta
This network shows the impact of papers produced by Ritika Gupta. 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 Ritika Gupta. The network helps show where Ritika Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Ritika Gupta, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 98 | |
| 2 | Alpha-amylase inhibition can treat diabetes mellitus | 2016 | 85 |
| 3 | 2019 | 77 | |
| 4 | 2016 | 51 | |
| 5 | 2020 | 43 | |
| 6 | 2014 | 39 | |
| 7 | 2015 | 33 | |
| 8 | 2020 | 33 | |
| 9 | 2022 | 33 | |
| 10 | 2016 | 30 | |
| 11 | 2021 | 27 | |
| 12 | 2023 | 26 | |
| 13 | 2021 | 21 | |
| 14 | 2017 | 20 | |
| 15 | 2004 | 19 | |
| 16 | 2017 | 19 | |
| 17 | 2021 | 18 | |
| 18 | 2021 | 18 | |
| 19 | 2018 | 14 | |
| 20 | A Review on Anticancer Property of Colostrum | 2016 | 13 |
About Ritika Gupta
Ritika Gupta is a scholar working on Biomedical Engineering, Molecular Biology, Genetics, Infectious Diseases and Surgery, having authored 56 papers that have together received 820 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (8 papers), Advanced biosensing and bioanalysis techniques (6 papers), Forensic and Genetic Research (4 papers), Graphene and Nanomaterials Applications (4 papers), Infant Nutrition and Health (3 papers), Advanced Nanomaterials in Catalysis (3 papers), Ovarian function and disorders (3 papers) and Electrochemical sensors and biosensors (2 papers). The work is most often cited by research in Biomedical Engineering (284 citations), Pharmaceutical Science (38 citations), Drug Discovery (1 citation), Molecular Biology (310 citations) and Infectious Diseases (76 citations). Ritika Gupta has collaborated with scholars based in India, United States and China. Frequent co-authors include Nitin Kumar Singhal, Neeraj Agarwal, Sandeep Kumar, Anil Kumar Pinnaka, Amit Kumar, Amrish Kumar, Nitesh Priyadarshi, Pavan Manohar Patil, Pargat Singh and Vijayender Bhalla. Their work appears in journals such as Sensors and Actuators B Chemical, ACS Applied Materials & Interfaces, Microchemical Journal, Scientific Reports 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.