Ziduo Li

787 total citations
9 papers, 485 citations indexed

About

Ziduo Li is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Ziduo Li has authored 9 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 2 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Ziduo Li's work include CAR-T cell therapy research (3 papers), Virus-based gene therapy research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Ziduo Li is often cited by papers focused on CAR-T cell therapy research (3 papers), Virus-based gene therapy research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Ziduo Li collaborates with scholars based in Australia, Italy and Germany. Ziduo Li's co-authors include Derek N.J. Hart, Edward Abadir, Pablo A. Silveira, Georgina J. Clark, Xinsheng Ju, Wei‐Hsun Hsu, Juan C. del Pozo, Gema López‐Torrejón, José J. Rodríguez‐Herva and Suma Chakravarthy and has published in prestigious journals such as Blood, Frontiers in Immunology and Cellular Microbiology.

In The Last Decade

Ziduo Li

9 papers receiving 478 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ziduo Li Australia 7 187 156 138 137 84 9 485
Janani Krishnamurthy United States 5 154 0.8× 161 1.0× 100 0.7× 94 0.7× 60 0.7× 7 373
Matías Gutiérrez-González United States 9 54 0.3× 244 1.6× 58 0.4× 114 0.8× 48 0.6× 20 459
Simon Hughes United Kingdom 14 130 0.7× 295 1.9× 36 0.3× 183 1.3× 147 1.8× 18 696
Matthew J. Elder United Kingdom 8 109 0.6× 132 0.8× 29 0.2× 260 1.9× 43 0.5× 10 431
Emily Bettini United States 6 84 0.4× 303 1.9× 165 1.2× 87 0.6× 31 0.4× 6 536
Marc Deloger France 13 96 0.5× 334 2.1× 215 1.6× 49 0.4× 70 0.8× 24 578
О. С. Таранов Russia 14 136 0.7× 274 1.8× 35 0.3× 133 1.0× 74 0.9× 76 552
Avadhesh Kumar Singh India 14 151 0.8× 99 0.6× 51 0.4× 312 2.3× 32 0.4× 22 541
Elina Zueva France 10 119 0.6× 522 3.3× 49 0.4× 520 3.8× 57 0.7× 16 882

Countries citing papers authored by Ziduo Li

Since Specialization
Citations

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

Fields of papers citing papers by Ziduo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziduo Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ziduo Li. A scholar is included among the top collaborators of Ziduo Li 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 Ziduo Li. Ziduo Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Boettcher, Michael, et al.. (2022). Development of CAR T Cell Therapy in Children—A Comprehensive Overview. Journal of Clinical Medicine. 11(8). 2158–2158. 22 indexed citations
2.
Gottlieb, David, Leighton Clancy, Barbara Withers, et al.. (2021). Prophylactic antigen‐specific T‐cells targeting seven viral and fungal pathogens after allogeneic haemopoietic stem cell transplant. Clinical & Translational Immunology. 10(3). e1249–e1249. 31 indexed citations
3.
Micklethwaite, Kenneth, Kavitha Gowrishankar, Brian Gloss, et al.. (2021). Investigation of product-derived lymphoma following infusion of piggyBac-modified CD19 chimeric antigen receptor T cells. Blood. 138(16). 1391–1405. 142 indexed citations
4.
Li, Ziduo, Edward Abadir, Candice Clarke, et al.. (2020). Targeting CD83 in mantle cell lymphoma with anti‐human CD83 antibody. Clinical & Translational Immunology. 9(7). e1156–e1156. 3 indexed citations
5.
Castellano‐González, Gloria, Helen M. McGuire, Fabio Luciani, et al.. (2020). Rapidly expanded partially HLA DRB1–matched fungus-specific T cells mediate in vitro and in vivo antifungal activity. Blood Advances. 4(14). 3443–3456. 8 indexed citations
6.
Li, Ziduo, Xinsheng Ju, Pablo A. Silveira, et al.. (2019). CD83: Activation Marker for Antigen Presenting Cells and Its Therapeutic Potential. Frontiers in Immunology. 10. 1312–1312. 119 indexed citations
7.
Zhou, Jichun, Jufeng Guo, Rongyue Teng, et al.. (2016). New utility of an old marker: serum low-density lipoprotein predicts histopathological response of neoadjuvant chemotherapy in locally advanced gastric cancer. OncoTargets and Therapy. Volume 9. 5041–5047. 5 indexed citations
8.
Matějusová, Iveta, et al.. (2013). Comparison of complete polyprotein sequences of two isolates of salmon alphavirus (SAV) type I and their behaviour in a salmonid cell line. Archives of Virology. 158(10). 2143–2146. 10 indexed citations
9.
Rodríguez‐Herva, José J., Pablo González‐Melendi, Ziduo Li, et al.. (2012). A bacterial cysteine protease effector protein interferes with photosynthesis to suppress plant innate immune responses. Cellular Microbiology. 14(5). 669–681. 145 indexed citations

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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