Shu Li

33 total papers · 1.3k total citations
21 papers, 981 citations indexed

About

Shu Li is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Shu Li has authored 21 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Shu Li's work include Drug Transport and Resistance Mechanisms (5 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). Shu Li is often cited by papers focused on Drug Transport and Resistance Mechanisms (5 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). Shu Li collaborates with scholars based in China, United States and Russia. Shu Li's co-authors include Valery Yu. Alakhov, Elena V. Batrakova, Alexander V. Kabanov, Yili Li, William F. Elmquist, Tamara Minko, Refika I. Pakunlu, Donald W. Miller, Qianru Chi and Yu Zou and has published in prestigious journals such as Journal of Controlled Release, Pharmaceutical Research and Redox Biology.

In The Last Decade

Shu Li

19 papers receiving 969 citations

Author Peers

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

Author						Papers	Cites
Shu Li	356	304	264	183	113	21	981
Manisha Ramaswamy	291 0.8×	332 1.1×	304 1.2×	101 0.6×	145 1.3×	28	1.0k
Inge A. Ivens	182 0.5×	481 1.6×	140 0.5×	122 0.7×	82 0.7×	16	1.2k
Yao Jin	211 0.6×	426 1.4×	166 0.6×	345 1.9×	66 0.6×	40	1.2k
Jason Zastre	267 0.8×	325 1.1×	327 1.2×	81 0.4×	166 1.5×	35	1.2k
Chang-Koo Shim	531 1.5×	319 1.0×	169 0.6×	287 1.6×	160 1.4×	20	1.1k
Davoud Jafari-Gharabaghlou	204 0.6×	350 1.2×	122 0.5×	150 0.8×	77 0.7×	42	858
Mei Lin Tan	317 0.9×	430 1.4×	96 0.4×	185 1.0×	145 1.3×	26	1.1k
Ventola Cl	313 0.9×	308 1.0×	212 0.8×	296 1.6×	84 0.7×	11	1.1k
Laura Thoma	416 1.2×	526 1.7×	107 0.4×	225 1.2×	328 2.9×	27	1.1k
Nancy J. Ganson	245 0.7×	512 1.7×	89 0.3×	96 0.5×	74 0.7×	14	1.2k

Countries citing papers authored by Shu Li

Since Specialization

Citations

This map shows the geographic impact of Shu Li'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 Shu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Li more than expected).

Fields of papers citing papers by Shu Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu Li. 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 Shu Li. The network helps show where Shu Li may publish in the future.

Co-authorship network of co-authors of Shu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Li. A scholar is included among the top collaborators of Shu Li 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 Shu Li. Shu Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact