Shi Hu

147 total papers · 2.7k total citations
53 papers, 1.7k citations indexed

About

Shi Hu is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Shi Hu has authored 53 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 19 papers in Molecular Biology and 19 papers in Immunology. Recurrent topics in Shi Hu's work include Monoclonal and Polyclonal Antibodies Research (16 papers), CAR-T cell therapy research (7 papers) and HER2/EGFR in Cancer Research (7 papers). Shi Hu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (16 papers), CAR-T cell therapy research (7 papers) and HER2/EGFR in Cancer Research (7 papers). Shi Hu collaborates with scholars based in China, United States and Japan. Shi Hu's co-authors include Wenyan Fu, Changhai Lei, Kewen Qian, Min Ding, Li Tian, Sheng Zhang, Fangxing Lin, Yafeng Shen, Xuting Ye and Yongji Yang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Shi Hu

50 papers receiving 1.6k citations

Hit Papers

CAR exosomes derived from... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Shi Hu 819 463 435 339 337 53 1.7k
Sheng Lin 710 0.9× 333 0.7× 173 0.4× 215 0.6× 117 0.3× 95 1.6k
Sathy V. Balu‐Iyer 1.1k 1.3× 288 0.6× 673 1.5× 75 0.2× 429 1.3× 63 2.0k
Lu Han 397 0.5× 669 1.4× 414 1.0× 89 0.3× 280 0.8× 59 1.4k
Nakhle S. Saba 629 0.8× 356 0.8× 288 0.7× 159 0.5× 77 0.2× 65 1.6k
Bruce Freimark 993 1.2× 458 1.0× 779 1.8× 98 0.3× 182 0.5× 43 2.1k
Pengfei Zhou 478 0.6× 645 1.4× 506 1.2× 81 0.2× 126 0.4× 54 1.5k
Yan Long 694 0.8× 546 1.2× 169 0.4× 100 0.3× 169 0.5× 58 2.1k
Lawrence H. Cheung 732 0.9× 326 0.7× 585 1.3× 60 0.2× 394 1.2× 62 1.5k
Afshin Derakhshani 752 0.9× 797 1.7× 643 1.5× 157 0.5× 80 0.2× 70 1.9k
Bo Chen 865 1.1× 744 1.6× 249 0.6× 221 0.7× 155 0.5× 114 1.9k

Countries citing papers authored by Shi Hu

Since Specialization
Citations

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

Fields of papers citing papers by Shi Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Hu

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