L Shi

13 total papers · 2.0k total citations
8 papers, 1.7k citations indexed

About

L Shi is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, L Shi has authored 8 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Infectious Diseases. Recurrent topics in L Shi's work include Ubiquitin and proteasome pathways (3 papers), Cell death mechanisms and regulation (3 papers) and Cancer-related Molecular Pathways (2 papers). L Shi is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Cell death mechanisms and regulation (3 papers) and Cancer-related Molecular Pathways (2 papers). L Shi collaborates with scholars based in Canada, United States and China. L Shi's co-authors include Harry B. Greenberg, Ruedi Aebersold, Chih Min Kam, James C. Powers, L Bergeron, G. MacDonald, Junying Yuan, Janine Salter, Michael A. Moskowitz and Jonathan L. Tilly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Genes & Development.

In The Last Decade

L Shi

8 papers receiving 1.7k citations

Hit Papers

Defects in regulation of ... 1998 2026 2007 2016 1998 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
L Shi 1.2k 617 297 243 177 8 1.7k
Jeffrey A. Heibein 983 0.8× 710 1.2× 276 0.9× 270 1.1× 63 0.4× 11 1.7k
Corey Rogers 2.0k 1.6× 863 1.4× 233 0.8× 224 0.9× 150 0.8× 9 2.4k
Paul J. Beresford 1.9k 1.5× 628 1.0× 242 0.8× 293 1.2× 77 0.4× 14 2.4k
Catherine R. Ferenz 1.2k 1.0× 937 1.5× 421 1.4× 203 0.8× 62 0.4× 11 2.3k
Les Sekut 1.1k 0.9× 877 1.4× 282 0.9× 230 0.9× 94 0.5× 11 2.0k
Erin C. Dueber 1.8k 1.4× 866 1.4× 267 0.9× 256 1.1× 132 0.7× 20 2.1k
Joshua N. Finger 1.4k 1.1× 720 1.2× 149 0.5× 204 0.8× 157 0.9× 18 2.1k
G Limjuco 838 0.7× 754 1.2× 184 0.6× 147 0.6× 85 0.5× 21 1.5k
Alexander U. Lüthi 1.2k 0.9× 957 1.6× 416 1.4× 312 1.3× 49 0.3× 16 2.2k
David Banach 1.3k 1.1× 312 0.5× 281 0.9× 181 0.7× 51 0.3× 15 1.8k

Countries citing papers authored by L Shi

Since Specialization
Citations

This map shows the geographic impact of L Shi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by L Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L Shi more than expected).

Fields of papers citing papers by L Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L Shi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by L Shi. The network helps show where L Shi may publish in the future.

Co-authorship network of co-authors of L Shi

This figure shows the co-authorship network connecting the top 25 collaborators of L Shi. A scholar is included among the top collaborators of L Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with L Shi. L Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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