Chris Sander: h-index, Total Citations, and Citation Map
Chris Sander's h-index is 217 (488 i10-index, 355,353+ total citations across 4+ publications) according to Google Scholar as of May 2026. Chris Sander is affiliated with Harvard Medical School, Broad Institute, MGH, Dana-Farber Cancer Institute, Memorial Sloan Kettering.
Chris Sander is a researcher affiliated with Harvard Medical School, Broad Institute, MGH, Dana-Farber Cancer Institute, Memorial Sloan Kettering, specializing in Biology, Data Sciences, Evolution. Their work has been cited 355,353 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Chris Sander's Citation Metrics
Bibliometric impact based on 4 indexed publications.
- H-Index
- 217
- i10-Index
- 488
- Total Citations
- 355,353
- Citing Countries
- 17
As of May 2026.
Chris Sander has an h-index of 217 and 355,353 total citations across 4 publications, with research cited by institutions in 17 countries.
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We've mapped 5,000 of 355,353 citations for Chris Sander
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Global Impact Map
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Top Cited Works
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Dictionary of protein secondary structure: pattern recognition of hydrogen‐bonded and geometrical features
198318,989
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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.
4 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational pattern recognition framework for defining protein secondary structure based on hydrogen-bonded and geometrical features.
The researcher developed the cBio Cancer Genomics Portal, an open platform that significantly advanced the accessibility and exploration of multidimensional cancer genomics data for the global scientific community.
The researcher developed the cBioPortal, a seminal integrative platform for analyzing complex cancer genomics and clinical profiles, establishing a foundational tool for computational oncology.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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