Craig D. Wenger: h-index, Total Citations, and Citation Map
Craig D. Wenger's h-index is 28 (29 i10-index, 3,921+ total citations across 5+ publications) according to Google Scholar as of May 2026. Craig D. Wenger is affiliated with Unknown affiliation.
Craig D. Wenger is a researcher affiliated with Unknown affiliation, specializing in various fields. Their work has been cited 3,921 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Craig D. Wenger's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 28
- i10-Index
- 29
- Total Citations
- 3,921
- Citing Countries
- 6
As of May 2026.
Craig D. Wenger has an h-index of 28 and 3,921 total citations across 5 publications, with research cited by institutions in 6 countries.
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Top Cited Works
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Value of using multiple proteases for large-scale mass spectrometry-based proteomics
2010613
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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.
The researcher established the value of using multiple proteases for large-scale mass spectrometry-based proteomics, a foundational approach that significantly expanded proteome coverage and analytical depth in the field.
The researcher pioneered the application of electron transfer dissociation tandem mass spectrometry to map the human embryonic stem cell phosphoproteome, establishing a foundational methodological benchmark in the field.
The researcher developed a dynamic model of proteome changes in yeast, revealing novel roles for transcript alteration in protein regulation.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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