Raghav Shroff
Impact in
- Pollution top 2%
- Microplastics and Plastic Pollution
- Biomaterials top 5%
- biodegradable polymer synthesis and properties
Papers in
-
- RNA and protein synthesis mechanisms 4
- Advanced biosensing and bioanalysis techniques 4
- Protein Structure and Dynamics 2
- Genomics and Phylogenetic Studies 2
- Genetics 7
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Andrew D. Ellington (11 shared papers)Daniel J. Diaz (3 shared papers)Nathaniel A. Lynd (1 shared paper)Yan Zhang (1 shared paper)Hal S. Alper (1 shared paper)Congzhi Zhu (1 shared paper)Hongyuan Lu (1 shared paper)Daniel J. Acosta (1 shared paper)
- Journals
- ACS Synthetic Biology (2 papers)Biochemistry (2 papers)Nature Methods (1 paper)iScience (1 paper)Nature (1 paper)
- Partner nations
- United States
In The Last Decade
Raghav Shroff
14 papers receiving 1.5k citations
Raghav Shroff's Hit Papers
Peers
Comparison fields: 5 of 115
- Pollution 469
- Biomaterials 370
- Industrial and Manufacturing Engineering 227
- Periodontics 72
- Molecular Biology 709
Countries citing papers authored by Raghav Shroff
This map shows the geographic impact of Raghav Shroff'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 Raghav Shroff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raghav Shroff more than expected).
Fields of papers citing papers by Raghav Shroff
This network shows the impact of papers produced by Raghav Shroff. 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 Raghav Shroff. The network helps show where Raghav Shroff may publish in the future.
Co-authors
The 25 scholars most cited alongside Raghav Shroff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Machine learning-aided engineering of hydrolases for PET depolymerization Hit paper breakdown → | 2022 | 833 |
| 2 | 2014 | 153 | |
| 3 | 2020 | 107 | |
| 4 | 2013 | 100 | |
| 5 | 2018 | 99 | |
| 6 | 2016 | 96 | |
| 7 | 2018 | 37 | |
| 8 | 2021 | 35 | |
| 9 | 2022 | 32 | |
| 10 | 2018 | 27 | |
| 11 | 2018 | 15 | |
| 12 | 2018 | 11 | |
| 13 | 2022 | 5 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 0 |
About Raghav Shroff
Raghav Shroff is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Ecology and Computational Theory and Mathematics, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers), Biosensors and Analytical Detection (2 papers), Genomics and Phylogenetic Studies (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Pollution (469 citations), Biomaterials (370 citations), Industrial and Manufacturing Engineering (227 citations), Periodontics (72 citations) and Molecular Biology (709 citations). Raghav Shroff has collaborated with scholars based in United States. Frequent co-authors include Andrew D. Ellington, Daniel J. Diaz, Nathaniel A. Lynd, Yan Zhang, Hal S. Alper, Congzhi Zhu, Hongyuan Lu, Daniel J. Acosta, Wantae Kim and Hannah Cole. Their work appears in journals such as ACS Synthetic Biology, Biochemistry, Nature Methods, iScience and Nature.
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.