Sugyan M. Dixit
- Molecular Biology top 10%
- Materials Chemistry
- Computational Theory and Mathematics top 2%
- Atomic and Molecular Physics, and Optics
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Ken A. DillDavid L. MobleyPhilippe H. HünenbergerBrian K. ShoichetS.E. BoyceAlex FordInna GoreshnikLauren Carter
- Topics
- Protein Structure and Dynamics (13 papers)Enzyme Structure and Function (5 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Sugyan M. Dixit
18 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 910
- Materials Chemistry 234
- Computational Theory and Mathematics 219
- Atomic and Molecular Physics, and Optics 124
- Radiology, Nuclear Medicine and Imaging 99
Countries citing papers authored by Sugyan M. Dixit
This map shows the geographic impact of Sugyan M. Dixit'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 Sugyan M. Dixit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sugyan M. Dixit more than expected).
Fields of papers citing papers by Sugyan M. Dixit
This network shows the impact of papers produced by Sugyan M. Dixit. 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 Sugyan M. Dixit. The network helps show where Sugyan M. Dixit may publish in the future.
Co-authorship network of co-authors of Sugyan M. Dixit
This figure shows the co-authorship network connecting the top 25 collaborators of Sugyan M. Dixit. A scholar is included among the top collaborators of Sugyan M. Dixit 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 Sugyan M. Dixit. Sugyan M. Dixit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | Mega-scale experimental analysis of protein folding stability in biology and designbreakdown → | 139 |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 46 | |
| 10 | 15 | |
| 11 | 14 | |
| 12 | Global analysis of protein folding using massively parallel design, synthesis, and testingbreakdown → | 305 |
| 13 | 51 | |
| 14 | 25 | |
| 15 | 190 | |
| 16 | 30 | |
| 17 | 146 | |
| 18 | 78 |
About Sugyan M. Dixit
Sugyan M. Dixit is a scholar working on Molecular Biology, Virology and Computational Theory and Mathematics, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Computational Theory and Mathematics (219 citations), Molecular Biology (910 citations) and Spectroscopy (93 citations). Sugyan M. Dixit has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Ken A. Dill, David L. Mobley, Philippe H. Hünenberger, Brian K. Shoichet, S.E. Boyce, Alex Ford, Inna Goreshnik, Lauren Carter, David Baker and C.H. Arrowsmith. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.