Adam J. Lewandowski: h-index, Total Citations, and Citation Map
Adam J. Lewandowski's h-index is 47 (75 i10-index, 9,568+ total citations across 188+ publications) according to Google Scholar as of May 2026. Adam J. Lewandowski is affiliated with University of Oxford.
Adam J. Lewandowski is a researcher affiliated with University of Oxford, specializing in Cardiology, Pregnancy Complications, Child Health. Their work has been cited 9,568 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Adam J. Lewandowski's Citation Metrics
Bibliometric impact based on 188 indexed publications. Of these, 6 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 47
- i10-Index
- 75
- Total Citations
- 9,568
- Citing Countries
- 65
As of May 2026.
Adam J. Lewandowski has an h-index of 47 and 9,568 total citations across 188 publications, with research cited by institutions in 65 countries.
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Top Cited Works
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Medium-term effects of SARS-CoV-2 infection on multiple vital organs, exercise capacity, cognition, quality of life and mental health, post-hospital discharge
2020815
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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.
1402 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational framework linking preterm birth to distinct adult left ventricular structural and functional abnormalities, subsequently expanding this paradigm to encompass broader developmental cardiovascular trajectories and maternal-offspring health impacts.
The researcher established a validated framework for assessing myocardial deformation via magnetic resonance feature tracking, benchmarking it against tagging methods and analyzing gender-specific variations in healthy populations.
The researcher established a standardized methodology for measuring normal T1 relaxation variations in human populations using ShMOLLI at 1.5 T, providing a critical reference framework for cardiac MRI.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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