Lirui Shen

24 total papers · 591 total citations
20 papers, 462 citations indexed

About

Lirui Shen is a scholar working on Biomaterials, Animal Science and Zoology and Biomedical Engineering. According to data from OpenAlex, Lirui Shen has authored 20 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomaterials, 6 papers in Animal Science and Zoology and 6 papers in Biomedical Engineering. Recurrent topics in Lirui Shen's work include Collagen: Extraction and Characterization (15 papers), Meat and Animal Product Quality (6 papers) and Bone Tissue Engineering Materials (5 papers). Lirui Shen is often cited by papers focused on Collagen: Extraction and Characterization (15 papers), Meat and Animal Product Quality (6 papers) and Bone Tissue Engineering Materials (5 papers). Lirui Shen collaborates with scholars based in China. Lirui Shen's co-authors include Guoying Li, Huan Yang, Wentao Liu, Xiaoxia Zhang, Zhenhua Tian, Pingping Tang, Kun Wu, Tingting Zheng, Lei Wu and Lian Duan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Carbohydrate Polymers.

In The Last Decade

Lirui Shen

18 papers receiving 456 citations

Author Peers

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

Author						Papers	Cites
Lirui Shen	337	136	83	60	59	20	462
Katarzyna Adamiak	320 0.9×	160 1.2×	76 0.9×	36 0.6×	38 0.6×	12	502
Arun Gopinath	311 0.9×	140 1.0×	109 1.3×	52 0.9×	34 0.6×	22	544
Mireia Andonegi	307 0.9×	136 1.0×	46 0.6×	49 0.8×	33 0.6×	15	436
Bronislaw Polakiewicz	250 0.7×	127 0.9×	153 1.8×	48 0.8×	15 0.3×	27	552
Zohaib Hussain	377 1.1×	173 1.3×	96 1.2×	31 0.5×	29 0.5×	9	549
Maria Lucia Natali	335 1.0×	182 1.3×	99 1.2×	23 0.4×	43 0.7×	12	543
Wenkui Song	217 0.6×	77 0.6×	73 0.9×	14 0.2×	51 0.9×	12	445
Kathleen Hofman	336 1.0×	187 1.4×	56 0.7×	12 0.2×	38 0.6×	13	479
Chuen‐How Ng	231 0.7×	78 0.6×	106 1.3×	47 0.8×	20 0.3×	13	427
Rafea Naffa	203 0.6×	103 0.8×	95 1.1×	23 0.4×	33 0.6×	30	498

Countries citing papers authored by Lirui Shen

Since Specialization

Citations

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

Fields of papers citing papers by Lirui Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lirui Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Lirui Shen. A scholar is included among the top collaborators of Lirui Shen 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 Lirui Shen. Lirui Shen 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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