University IT

University of Siena

Papers we track 3,120
Since 1980
Most active in Heavy Metal Contamination, Exposure, and Human Health Risk Assessment

Research trend share of papers by universities & colleges, per year

lower coverage before 2010 0.00% 0.06% 0.12% 2000 2010 2020 1990: 0.044% (18 papers) 1991: 0.026% (12 papers) 1992: 0.053% (25 papers) 1993: 0.050% (23 papers) 1994: 0.049% (26 papers) 1995: 0.042% (24 papers) 1996: 0.052% (32 papers) 1997: 0.037% (23 papers) 1998: 0.040% (27 papers) 1999: 0.044% (35 papers) 2000: 0.052% (35 papers) 2001: 0.046% (31 papers) 2002: 0.122% (70 papers) 2003: 0.045% (44 papers) 2004: 0.038% (34 papers) 2005: 0.041% (41 papers) 2006: 0.026% (32 papers) 2007: 0.049% (57 papers) 2008: 0.042% (52 papers) 2009: 0.034% (50 papers) 2010: 0.035% (66 papers) 2011: 0.042% (81 papers) 2012: 0.033% (71 papers) 2013: 0.031% (77 papers) 2014: 0.025% (84 papers) 2015: 0.027% (105 papers) 2016: 0.028% (108 papers) 2017: 0.022% (108 papers) 2018: 0.018% (102 papers) 2019: 0.020% (112 papers) 2020: 0.019% (188 papers) 2021: 0.020% (198 papers) 2022: 0.019% (198 papers) 2023: 0.016% (188 papers) 2024: 0.015% (174 papers) 2025: 0.019% (214 papers) 2026: 0.018% (185 papers) — year in progress

Each point is this institution's share of the papers credited to universities & colleges 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 University of Siena publishes. Institutions come from OpenAlex affiliations, rolled up to the parent organisation. Older papers often lack affiliations, so earlier years undercount.