Lihan Shen

44 total papers · 732 total citations
19 papers, 352 citations indexed

About

Lihan Shen is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Lihan Shen has authored 19 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Lihan Shen's work include COVID-19 Clinical Research Studies (5 papers), Influenza Virus Research Studies (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Lihan Shen is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), Influenza Virus Research Studies (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Lihan Shen collaborates with scholars based in China, Macao and United States. Lihan Shen's co-authors include Lin Cai, Weihao Zheng, Hong-ying Mo, Junhua Qi, Linlin Hou, Sijing Cheng, Yifeng Zou, Ping Lan, Yibo Huang and Yunle Wan and has published in prestigious journals such as Nature Communications, The Journal of Infectious Diseases and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Lihan Shen

17 papers receiving 348 citations

Author Peers

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

Author Last Decade Papers Cites
Lihan Shen 169 97 76 65 46 19 352
Álvaro Tamayo-Velasco 151 0.9× 94 1.0× 66 0.9× 108 1.7× 43 0.9× 25 387
Tatsiana Romenskaya 141 0.8× 122 1.3× 47 0.6× 51 0.8× 38 0.8× 18 384
Babak Ebrahimi 216 1.3× 120 1.2× 57 0.8× 43 0.7× 25 0.5× 20 398
Sabrina Setembre Batah 157 0.9× 69 0.7× 88 1.2× 54 0.8× 101 2.2× 27 372
Zhihong Zuo 123 0.7× 68 0.7× 41 0.5× 62 1.0× 28 0.6× 17 380
Evmorfia Aivalioti 115 0.7× 50 0.5× 72 0.9× 72 1.1× 32 0.7× 20 340
Zhenju Song 190 1.1× 90 0.9× 101 1.3× 64 1.0× 23 0.5× 15 355
Shannon Steele 223 1.3× 86 0.9× 45 0.6× 41 0.6× 34 0.7× 10 377
Chaolin Huang 228 1.3× 100 1.0× 60 0.8× 40 0.6× 51 1.1× 31 353
Ana Mendes‐Frias 173 1.0× 91 0.9× 96 1.3× 34 0.5× 27 0.6× 14 366

Countries citing papers authored by Lihan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Lihan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lihan Shen

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