Suchismita Roy
- Epidemiology top 10%
- Immunology top 10%
- Infectious Diseases top 5%
- Molecular Biology
- Plant Science
- Co-authors
- Subrata HazraBhaskar SahaC. G. N. Mascie‐TaylorA.V.S. HillAshwani PareekPrabhjeet SinghA J FrodshamSneh L. Singla‐Pareek
- Topics
- Metaheuristic Optimization Algorithms Research (4 papers)Signaling Pathways in Disease (4 papers)Proteins in Food Systems (3 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Suchismita Roy
65 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 147
- Epidemiology 348
- Immunology 288
- Infectious Diseases 252
- Molecular Biology 234
- Plant Science 166
Countries citing papers authored by Suchismita Roy
This map shows the geographic impact of Suchismita Roy'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 Suchismita Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suchismita Roy more than expected).
Fields of papers citing papers by Suchismita Roy
This network shows the impact of papers produced by Suchismita Roy. 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 Suchismita Roy. The network helps show where Suchismita Roy may publish in the future.
Co-authorship network of co-authors of Suchismita Roy
This figure shows the co-authorship network connecting the top 25 collaborators of Suchismita Roy. A scholar is included among the top collaborators of Suchismita Roy 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 Suchismita Roy. Suchismita Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 22 | |
| 10 | 27 | |
| 11 | EFFECT OF PHYTOSTEROL EXTRACT FROM SESAME SEED ON EXPERIMENTALLY INDUCED HYPERLIPIDEMIC RATS: DOSE DEPENDENT STUDY | 8 |
| 12 | Effect of starter culture on development of curd (DAHI) and their antagonistic property against some enteric pathogen | 6 |
| 13 | 8 | |
| 14 | 40 | |
| 15 | 46 | |
| 16 | 100 | |
| 17 | 11 | |
| 18 | 29 | |
| 19 | 214 | |
| 20 | 146 |
About Suchismita Roy
Suchismita Roy is a scholar working on Food Science, Nutrition and Dietetics and Control and Systems Engineering, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (4 papers), Signaling Pathways in Disease (4 papers) and Proteins in Food Systems (3 papers). The work is most often cited by research in Immunology (288 citations), Infectious Diseases (252 citations) and Epidemiology (348 citations). Suchismita Roy has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Subrata Hazra, Bhaskar Saha, C. G. N. Mascie‐Taylor, A.V.S. Hill, Ashwani Pareek, Prabhjeet Singh, A J Frodsham, Sneh L. Singla‐Pareek, Sumita Kumari and Dominic Kwiatkowski. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.