Md Habibur Rahman: h-index, Total Citations, and Citation Map
Md Habibur Rahman's h-index is 6 (5 i10-index, 154+ total citations across 34+ publications) according to Google Scholar as of May 2026. Md Habibur Rahman is affiliated with Senior Research Scientist, EggLogics Ltd, Hong Kong Science and Technology Park.
Md Habibur Rahman is a researcher affiliated with Senior Research Scientist, EggLogics Ltd, Hong Kong Science and Technology Park, specializing in MEMS, microfluidics, cell culture. Their work has been cited 154 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Md Habibur Rahman's Citation Metrics
Bibliometric impact based on 34 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 6
- i10-Index
- 5
- Total Citations
- 154
- Citing Countries
- 31
As of May 2026.
Md Habibur Rahman has an h-index of 6 and 154 total citations across 34 publications, with research cited by institutions in 31 countries.
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Top Cited Works
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Single-frame label-free cell tomography at speed of more than 10,000 volumes per second
202226
Top Citing Countries
Top Citing Institutions
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.
39 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed foundational methods for single-cell mechanical analysis and mass measurement using piezoelectric nanoneedles and microfluidic drag force techniques.
The researcher developed a methodological framework for extracting functional mitochondria by demarcating membrane damage and leveraging membrane stiffness properties.
The researcher developed a high-speed, single-frame label-free cell tomography method capable of capturing over 10,000 volumes per second, enabling rapid 3D cellular imaging.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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