Huizi Sha

62 total papers · 1.3k total citations
41 papers, 1.0k citations indexed

About

Huizi Sha is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Huizi Sha has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 15 papers in Immunology and 14 papers in Molecular Biology. Recurrent topics in Huizi Sha's work include Cancer Immunotherapy and Biomarkers (14 papers), Immunotherapy and Immune Responses (14 papers) and Pancreatic and Hepatic Oncology Research (7 papers). Huizi Sha is often cited by papers focused on Cancer Immunotherapy and Biomarkers (14 papers), Immunotherapy and Immune Responses (14 papers) and Pancreatic and Hepatic Oncology Research (7 papers). Huizi Sha collaborates with scholars based in China, India and United States. Huizi Sha's co-authors include Baorui Liu, Lianru Zhang, Fanyan Meng, Zhengyun Zou, Fangjun Chen, Lixia Yu, Hanqing Qian, Shu Su, Jie Shao and Juan Du and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Huizi Sha

39 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Huizi Sha 574 397 308 274 244 41 1.0k
Shabnum Patel 454 0.8× 273 0.7× 225 0.7× 246 0.9× 249 1.0× 27 1.1k
Mingnan Chen 527 0.9× 223 0.6× 297 1.0× 324 1.2× 507 2.1× 26 1.2k
Andrew Satterlee 625 1.1× 197 0.5× 421 1.4× 161 0.6× 368 1.5× 28 1.1k
Neil C. Sheppard 475 0.8× 420 1.1× 387 1.3× 472 1.7× 107 0.4× 32 1.2k
Fransisca Leonard 371 0.6× 316 0.8× 457 1.5× 239 0.9× 186 0.8× 33 1.2k
Lorena Simón‐Gracia 628 1.1× 172 0.4× 322 1.0× 301 1.1× 380 1.6× 36 1.1k
Patricia Álamo 600 1.0× 240 0.6× 121 0.4× 287 1.0× 224 0.9× 42 995
María L. Guevara 592 1.0× 183 0.5× 193 0.6× 306 1.1× 128 0.5× 36 1.0k
R G Vile 386 0.7× 251 0.6× 337 1.1× 191 0.7× 489 2.0× 18 1.0k
Daniel Greenwald 647 1.1× 269 0.7× 340 1.1× 179 0.7× 380 1.6× 19 1.2k

Countries citing papers authored by Huizi Sha

Since Specialization
Citations

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

Fields of papers citing papers by Huizi Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huizi Sha

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