L Shi

2.0k total citations · 1 hit paper
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 Cell death mechanisms and regulation (3 papers), Ubiquitin and proteasome pathways (3 papers) and Mitochondrial Function and Pathology (2 papers). L Shi is often cited by papers focused on Cell death mechanisms and regulation (3 papers), Ubiquitin and proteasome pathways (3 papers) and Mitochondrial Function and Pathology (2 papers). L Shi collaborates with scholars based in Canada, United States and Italy. L Shi's co-authors include Harry B. Greenberg, Ruedi Aebersold, James C. Powers, Chih Min Kam, L Bergeron, Junying Yuan, G. MacDonald, Susannah Varmuza, Keith E. Latham and Jodi A. Flaws 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 apoptosis in caspase-2-deficient... 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
L Shi Canada 7 1.2k 615 296 243 177 8 1.7k
Alison J. Darmon Canada 11 792 0.6× 420 0.7× 223 0.8× 173 0.7× 49 0.3× 15 1.2k
Jiuru Sun Australia 20 907 0.7× 657 1.1× 243 0.8× 207 0.9× 95 0.5× 28 1.8k
Ji Zhao United States 15 926 0.8× 591 1.0× 155 0.5× 91 0.4× 145 0.8× 21 1.6k
Karin Sedelies Australia 16 791 0.6× 458 0.7× 266 0.9× 212 0.9× 62 0.4× 18 1.2k
Gerald L. Waneck United States 23 736 0.6× 781 1.3× 135 0.5× 183 0.8× 90 0.5× 36 1.7k
Kristian K. Starheim Norway 13 1.4k 1.2× 406 0.7× 591 2.0× 134 0.6× 104 0.6× 18 1.7k
Masayuki Sekimata Japan 22 902 0.7× 1.1k 1.8× 277 0.9× 89 0.4× 39 0.2× 40 2.1k
Susan Sather United States 21 771 0.6× 1.1k 1.7× 222 0.8× 305 1.3× 124 0.7× 34 1.8k
Charles Lefebvre Canada 19 1.7k 1.4× 564 0.9× 528 1.8× 235 1.0× 62 0.4× 30 2.3k
Christopher A. Benetatos United States 13 1.6k 1.3× 823 1.3× 364 1.2× 254 1.0× 53 0.3× 18 2.1k

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

8 of 8 papers shown
1.
Yang, Yan, et al.. (2024). Wee1 inhibitor optimization through deep-learning-driven decision making. European Journal of Medicinal Chemistry. 280. 116912–116912. 1 indexed citations
2.
Bergeron, L, Gloria I. Perez, G. MacDonald, et al.. (1998). Defects in regulation of apoptosis in caspase-2-deficient mice. Genes & Development. 12(9). 1304–1314. 560 indexed citations breakdown →
3.
Shi, L, et al.. (1996). Granzyme B induces apoptosis and cyclin A-associated cyclin-dependent kinase activity in all stages of the cell cycle. The Journal of Immunology. 157(6). 2381–2385. 50 indexed citations
4.
Martin, Séamus J., Gustavo P. Amarante‐Mendes, L Shi, et al.. (1996). The cytotoxic cell protease granzyme B initiates apoptosis in a cell-free system by proteolytic processing and activation of the ICE/CED-3 family protease, CPP32, via a novel two-step mechanism.. The EMBO Journal. 15(10). 2407–2416. 250 indexed citations
5.
Shi, L, G. MacDonald, L Bergeron, et al.. (1996). Activation of an interleukin 1 converting enzyme-dependent apoptosis pathway by granzyme B.. Proceedings of the National Academy of Sciences. 93(20). 11002–11007. 74 indexed citations
6.
Shi, L, et al.. (1995). Rescue from granzyme B-induced apoptosis by Wee1 kinase.. The Journal of Experimental Medicine. 181(6). 2295–2300. 53 indexed citations
7.
Shi, L, et al.. (1992). A natural killer cell granule protein that induces DNA fragmentation and apoptosis.. The Journal of Experimental Medicine. 175(2). 553–566. 333 indexed citations
8.
Shi, L, Chih Min Kam, James C. Powers, Ruedi Aebersold, & Harry B. Greenberg. (1992). Purification of three cytotoxic lymphocyte granule serine proteases that induce apoptosis through distinct substrate and target cell interactions.. The Journal of Experimental Medicine. 176(6). 1521–1529. 392 indexed citations

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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