Chengli Shen

103 total papers · 2.0k total citations
76 papers, 1.4k citations indexed

About

Chengli Shen is a scholar working on Oncology, Epidemiology and Virology. According to data from OpenAlex, Chengli Shen has authored 76 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 20 papers in Epidemiology and 18 papers in Virology. Recurrent topics in Chengli Shen's work include HIV Research and Treatment (18 papers), Hepatitis C virus research (12 papers) and Hepatitis B Virus Studies (11 papers). Chengli Shen is often cited by papers focused on HIV Research and Treatment (18 papers), Hepatitis C virus research (12 papers) and Hepatitis B Virus Studies (11 papers). Chengli Shen collaborates with scholars based in United States, China and India. Chengli Shen's co-authors include Allan Tsung, Han Wang, Hongji Zhang, Yujia Xia, Hai Huang, Zachary J. Brown, Phalguni Gupta, Joal D. Beane, Lina Ma and Zheng Huang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Hepatology.

In The Last Decade

Chengli Shen

71 papers receiving 1.4k citations

Hit Papers

Regulatory T-cell and neu... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Chengli Shen 399 342 330 308 253 76 1.4k
Jun Li 349 0.9× 270 0.8× 292 0.9× 166 0.5× 310 1.2× 80 1.4k
Yonghong Zhang 474 1.2× 204 0.6× 226 0.7× 484 1.6× 321 1.3× 112 1.4k
Ramya Ramaswami 497 1.2× 713 2.1× 372 1.1× 107 0.3× 215 0.8× 74 1.5k
Shehnaz K. Hussain 327 0.8× 545 1.6× 121 0.4× 215 0.7× 264 1.0× 53 1.2k
Qiwen Fang 352 0.9× 378 1.1× 163 0.5× 192 0.6× 117 0.5× 33 1.2k
Stuart Robinson 492 1.2× 503 1.5× 381 1.2× 207 0.7× 293 1.2× 61 1.4k
Niamh Nolan 674 1.7× 111 0.3× 590 1.8× 496 1.6× 123 0.5× 64 1.8k
Hua Wu 164 0.4× 236 0.7× 87 0.3× 131 0.4× 228 0.9× 86 1.2k
Ethan M. Weinberg 604 1.5× 152 0.4× 566 1.7× 85 0.3× 411 1.6× 51 1.5k
Isabel Badell 319 0.8× 311 0.9× 97 0.3× 266 0.9× 237 0.9× 116 1.7k

Countries citing papers authored by Chengli Shen

Since Specialization
Citations

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

Fields of papers citing papers by Chengli Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengli Shen

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