Surojit Biswas
- Molecular Biology top 5%
- Plant Science top 2%
- Computational Theory and Mathematics top 5%
- Genetics
- Materials Chemistry
- Co-authors
- George M. ChurchEthan C. AlleyGrigory KhimulyaMohammed AlQuraishiPhilip A. WiggeSandra CortijoVarodom CharoensawanKatja E. Jaeger
- Topics
- RNA and protein synthesis mechanisms (4 papers)Protein Structure and Dynamics (3 papers)Plant-Microbe Interactions and Immunity (3 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Surojit Biswas
14 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 1.7k
- Plant Science 1.1k
- Computational Theory and Mathematics 156
- Genetics 130
- Materials Chemistry 127
Countries citing papers authored by Surojit Biswas
This map shows the geographic impact of Surojit Biswas'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 Surojit Biswas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surojit Biswas more than expected).
Fields of papers citing papers by Surojit Biswas
This network shows the impact of papers produced by Surojit Biswas. 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 Surojit Biswas. The network helps show where Surojit Biswas may publish in the future.
Co-authorship network of co-authors of Surojit Biswas
This figure shows the co-authorship network connecting the top 25 collaborators of Surojit Biswas. A scholar is included among the top collaborators of Surojit Biswas 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 Surojit Biswas. Surojit Biswas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Single-sequence protein structure prediction using a language model and deep learningbreakdown → | 234 |
| 2 | Low-N protein engineering with data-efficient deep learningbreakdown → | 228 |
| 3 | Unified rational protein engineering with sequence-based deep representation learningbreakdown → | 659 |
| 4 | Compare the effectiveness of static stretching and muscle energy technique on hamstring tightness among student population | 2 |
| 5 | 215 | |
| 6 | 110 | |
| 7 | 108 | |
| 8 | 10 | |
| 9 | Phytochromes function as thermosensors in Arabidopsisbreakdown → | 703 |
| 10 | 39 | |
| 11 | 24 | |
| 12 | 45 | |
| 13 | 24 | |
| 14 | 1 | |
| 15 | Computational and simulation studies of jute fibre length distribution | 0 |
About Surojit Biswas
Surojit Biswas is a scholar working on Biotechnology, Physical Therapy, Sports Therapy and Rehabilitation and Plant Science, having authored 15 papers that have together received 2.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (3 papers) and Plant-Microbe Interactions and Immunity (3 papers). The work is most often cited by research in Plant Science (1.1k citations), Molecular Biology (1.7k citations) and Computational Theory and Mathematics (156 citations). Surojit Biswas has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include George M. Church, Ethan C. Alley, Grigory Khimulya, Mohammed AlQuraishi, Philip A. Wigge, Sandra Cortijo, Varodom Charoensawan, Katja E. Jaeger, Mathew S. Box and Daphne Ezer. Their work appears in journals such as Science, Nature Communications and Nature Biotechnology.
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.