Jaehee Kim: h-index, Total Citations, and Citation Map
Jaehee Kim's h-index is 14 (19 i10-index, 955+ total citations across 3+ publications) according to Google Scholar as of May 2026. Jaehee Kim is affiliated with Assistant Professor at Cornell University, Department of Computational Biology.
Jaehee Kim is a researcher affiliated with Assistant Professor at Cornell University, Department of Computational Biology, specializing in various fields. Their work has been cited 955 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Jaehee Kim's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 14
- i10-Index
- 19
- Total Citations
- 955
- Citing Countries
- 7
As of May 2026.
Jaehee Kim has an h-index of 14 and 955 total citations across 3 publications, with research cited by institutions in 7 countries.
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Global Impact Map
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Top Cited Works
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Interactions between individual carbon nanotubes studied by Rayleigh scattering spectroscopy
2006208
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Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
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.
The researcher pioneered the use of Rayleigh scattering spectroscopy to investigate interactions between individual carbon nanotubes, establishing a foundational optical characterization method.
The researcher established a predictive link between individual and population identifiability in forensic microsatellite markers, a finding that has garnered significant independent scholarly attention.
The researcher advanced the molecular understanding of malignant pleural mesothelioma by identifying key axes and specialized tumor profiles that drive intertumor heterogeneity through multiomic analysis.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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