Priyesh Agrawal, PhD: h-index, Total Citations, and Citation Map
Priyesh Agrawal, PhD's h-index is 6 (5 i10-index, 354+ total citations across 9+ publications) according to Google Scholar as of June 2026. Priyesh Agrawal, PhD is affiliated with Data Science and AI Institute (DSAI), John Hopkins University.
Priyesh Agrawal, PhD is a researcher affiliated with Data Science and AI Institute (DSAI), John Hopkins University, specializing in Machine Learning, AI, Data Science. Their work has been cited 354 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Priyesh Agrawal, PhD's Citation Metrics
Bibliometric impact based on 9 indexed publications.
- H-Index
- 6
- i10-Index
- 5
- Total Citations
- 354
- Citing Countries
- 7
As of June 2026.
Priyesh Agrawal, PhD has an h-index of 6 and 354 total citations across 9 publications, with research cited by institutions in 7 countries.
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RiPPMiner: a bioinformatics resource for deciphering chemical structures of RiPPs based on prediction of cleavage and cross-links
2017193
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Top Citing Institutions
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Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
188 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed RiPPMiner, a bioinformatics framework for predicting RiPP chemical structures, later expanding it to genome-scale analysis and machine learning for macrocyclization patterns.
The researcher established a standardized framework for interlaboratory comparison of Pseudomonas aeruginosa phage susceptibility testing, addressing critical reproducibility gaps in antimicrobial phage research.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Priyesh Agrawal, PhD's research
Priyesh Agrawal, PhD is a researcher in Machine Learning, AI and Data Science at Data Science and AI Institute (DSAI), John Hopkins University. Their work has been cited 354 times across 9 publications (h-index 6), according to Google Scholar.
Their most-cited work, “RiPPMiner: a bioinformatics resource for deciphering chemical structures of RiPPs based on prediction of cleavage and cross-links” (2017), has accumulated 193 citations. Other influential works include “SBSPKSv2: structure-based sequence analysis of polyketide synthases and non-ribosomal peptide synthetases” (2017) with 76 citations and “RiPPMiner-Genome: a web resource for automated prediction of crosslinked chemical structures of RiPPs by genome mining” (2021) with 52 citations.
Citations of Priyesh Agrawal, PhD's research come primarily from China, United States and India, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
