University CN

Lanzhou University

Papers we track 10,622
Since 1982
Most active in Transition-Metal-Catalyzed Cross-Coupling and Asymmetric Organic Synthesis

Research trend share of all papers we track, per year

lower coverage before 2010 0.00% 0.07% 0.13% 2000 2010 2020 1990: 0.035% (25 papers) 1991: 0.044% (29 papers) 1992: 0.054% (38 papers) 1993: 0.046% (38 papers) 1994: 0.061% (45 papers) 1995: 0.050% (39 papers) 1996: 0.043% (42 papers) 1997: 0.047% (42 papers) 1998: 0.034% (36 papers) 1999: 0.042% (48 papers) 2000: 0.047% (43 papers) 2001: 0.047% (42 papers) 2002: 0.058% (54 papers) 2003: 0.074% (72 papers) 2004: 0.069% (86 papers) 2005: 0.076% (72 papers) 2006: 0.111% (118 papers) 2007: 0.119% (137 papers) 2008: 0.105% (128 papers) 2009: 0.110% (149 papers) 2010: 0.106% (156 papers) 2011: 0.104% (158 papers) 2012: 0.094% (183 papers) 2013: 0.100% (241 papers) 2014: 0.100% (297 papers) 2015: 0.093% (331 papers) 2016: 0.082% (312 papers) 2017: 0.092% (177 papers) 2018: 0.104% (177 papers) 2019: 0.087% (207 papers) 2020: 0.074% (701 papers) 2021: 0.087% (885 papers) 2022: 0.104% (1,065 papers) 2023: 0.098% (1,059 papers) 2024: 0.110% (1,142 papers) 2025: 0.115% (1,284 papers) 2026: 0.132% (903 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 Lanzhou University publishes. Institutions come from OpenAlex affiliations, rolled up to the parent organisation. Older papers often lack affiliations, so earlier years undercount.