Government research body CA

Gouvernement du Québec

Papers we track 7,482
Since 1980
Most active in Ion Channel Physiology and Calcium Signaling in Cellular Disease

Research trend share of all papers we track, per year

lower coverage before 2010 0.00% 0.04% 0.08% 2000 2010 2020 1990: 0.055% (52 papers) 1991: 0.073% (61 papers) 1992: 0.049% (42 papers) 1993: 0.044% (48 papers) 1994: 0.051% (50 papers) 1995: 0.077% (79 papers) 1996: 0.064% (65 papers) 1997: 0.061% (75 papers) 1998: 0.065% (78 papers) 1999: 0.065% (86 papers) 2000: 0.055% (61 papers) 2001: 0.047% (69 papers) 2002: 0.042% (67 papers) 2003: 0.047% (70 papers) 2004: 0.051% (86 papers) 2005: 0.045% (76 papers) 2006: 0.040% (71 papers) 2007: 0.029% (68 papers) 2008: 0.036% (79 papers) 2009: 0.034% (81 papers) 2010: 0.049% (156 papers) 2011: 0.053% (157 papers) 2012: 0.046% (180 papers) 2013: 0.040% (213 papers) 2014: 0.048% (241 papers) 2015: 0.041% (241 papers) 2016: 0.039% (274 papers) 2017: 0.031% (207 papers) 2018: 0.034% (225 papers) 2019: 0.024% (217 papers) 2020: 0.029% (458 papers) 2021: 0.027% (465 papers) 2022: 0.030% (498 papers) 2023: 0.030% (495 papers) 2024: 0.027% (485 papers) 2025: 0.026% (489 papers) 2026: 0.024% (355 papers) — year in progress

Each point is this institution's share of the papers credited to all institutions that year, with credit split across co-authoring institutions. A share, not a count, because our collection grows unevenly by year. Hover a point for the figures. The hollow point is the year in progress.

Where it works most top research communities, by papers

Check communities to show the trend above for them only. Positions are by fractional papers across all years. A community page ranks its institutions by citation-weighted credit, so its order can differ.

Covers the materials and chemistry research Elements Live tracks, not everything Gouvernement du Québec publishes. Institutions come from OpenAlex affiliations, rolled up to the parent organisation. Older papers often lack affiliations, so earlier years undercount.