Sukriti Goyal
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Applied Mathematics top 2%
- Geometry and Topology top 5%
- Modeling and Simulation top 2%
- Co-authors
- Abhinav GroverH. M. SrivastavaSalma JamalK. C. GuptaChetna TyagiJaspreet Kaur DhanjalAditi SinghPranay Goswami
- Topics
- Computational Drug Discovery Methods (30 papers)Analytic and geometric function theory (17 papers)Cancer therapeutics and mechanisms (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Sukriti Goyal
86 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 143
- Molecular Biology 736
- Computational Theory and Mathematics 354
- Applied Mathematics 340
- Geometry and Topology 194
- Modeling and Simulation 181
Countries citing papers authored by Sukriti Goyal
This map shows the geographic impact of Sukriti Goyal'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 Sukriti Goyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukriti Goyal more than expected).
Fields of papers citing papers by Sukriti Goyal
This network shows the impact of papers produced by Sukriti Goyal. 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 Sukriti Goyal. The network helps show where Sukriti Goyal may publish in the future.
Co-authorship network of co-authors of Sukriti Goyal
This figure shows the co-authorship network connecting the top 25 collaborators of Sukriti Goyal. A scholar is included among the top collaborators of Sukriti Goyal 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 Sukriti Goyal. Sukriti Goyal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 11 | |
| 3 | 77 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 27 | |
| 7 | 40 | |
| 8 | 15 | |
| 9 | 19 | |
| 10 | 3 | |
| 11 | Certain coefficient inequalities for Sakaguchi type functions and applications to fractional derivative operator. | 6 |
| 12 | Tiger Conservation in India : the Past, Present and the Future | 10 |
| 13 | 0 | |
| 14 | On the Laplace Transform and the Generalized Weyl Fractional Integral Operator Involving the H-function | 1 |
| 15 | Some Results for Unified Riemann-Zeta Function | 2 |
| 16 | 4 | |
| 17 | 14 | |
| 18 | The H-functions of one and two variables, with applications | 306 |
| 19 | On multiple integral transformations | 1 |
| 20 | Comparative study of various methods used for staining the mast cells. | 0 |
About Sukriti Goyal
Sukriti Goyal is a scholar working on Geometry and Topology, Applied Mathematics and Computational Theory and Mathematics, having authored 92 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (30 papers), Analytic and geometric function theory (17 papers) and Cancer therapeutics and mechanisms (10 papers). The work is most often cited by research in Modeling and Simulation (181 citations), Applied Mathematics (340 citations) and Geometry and Topology (194 citations). Sukriti Goyal has collaborated with scholars based in India, Japan and Canada. Frequent co-authors include Abhinav Grover, H. M. Srivastava, Salma Jamal, K. C. Gupta, Chetna Tyagi, Jaspreet Kaur Dhanjal, Aditi Singh, Pranay Goswami, Sonam Grover and Asheesh Shanker. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.