Shaobo Zhu

1.1k total citations
20 papers, 780 citations indexed

About

Shaobo Zhu is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Shaobo Zhu has authored 20 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Surgery. Recurrent topics in Shaobo Zhu's work include Plant Stress Responses and Tolerance (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and RNA modifications and cancer (3 papers). Shaobo Zhu is often cited by papers focused on Plant Stress Responses and Tolerance (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and RNA modifications and cancer (3 papers). Shaobo Zhu collaborates with scholars based in United States, China and France. Shaobo Zhu's co-authors include Carol R. Bradford, Thomas E. Carey, Susan G. Fisher, Jennifer L. Hunt, Conrad Schuerch, Gregory T. Wolf, Scott G. Soltys, Nana Ma, Ajita Narayan and Tetsuya Ogawa and has published in prestigious journals such as Developmental Cell, Molecular Plant and Cancer Epidemiology Biomarkers & Prevention.

In The Last Decade

Shaobo Zhu

20 papers receiving 765 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaobo Zhu United States 14 324 318 179 151 129 20 780
Dapeng Lei China 17 226 0.7× 347 1.1× 176 1.0× 130 0.9× 16 0.1× 62 734
Guo-Liang Jiang China 18 177 0.5× 100 0.3× 350 2.0× 112 0.7× 379 2.9× 40 1.1k
John I. Song United States 16 490 1.5× 494 1.6× 166 0.9× 227 1.5× 15 0.1× 34 1.1k
Yisheng Fang United States 16 171 0.5× 296 0.9× 47 0.3× 16 0.1× 158 1.2× 45 737
I. A. Born Germany 10 133 0.4× 143 0.4× 114 0.6× 74 0.5× 18 0.1× 31 508
Yann‐Jang Chen Taiwan 9 134 0.4× 330 1.0× 90 0.5× 35 0.2× 16 0.1× 14 543
A. Mazo Spain 10 242 0.7× 247 0.8× 114 0.6× 38 0.3× 11 0.1× 19 577
Elaine Phillips United Kingdom 13 278 0.9× 219 0.7× 179 1.0× 284 1.9× 9 0.1× 19 759
Jin Zhao China 18 237 0.7× 576 1.8× 102 0.6× 15 0.1× 36 0.3× 46 978
Giannoula Soufla Greece 18 125 0.4× 245 0.8× 85 0.5× 29 0.2× 12 0.1× 33 646

Countries citing papers authored by Shaobo Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Shaobo Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaobo Zhu

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

All Works

20 of 20 papers shown
1.
2.
Zhu, Shaobo, Jinge Gu, Juanjuan Yao, et al.. (2022). Liquid-liquid phase separation of RBGD2/4 is required for heat stress resistance in Arabidopsis. Developmental Cell. 57(5). 583–597.e6. 80 indexed citations
3.
Yang, Minmin, et al.. (2020). SlSGRL, a tomato SGR-like protein, promotes chlorophyll degradation downstream of the ABA signaling pathway. Plant Physiology and Biochemistry. 157. 316–327. 40 indexed citations
4.
Liu, Zhongming, et al.. (2017). Over-expression of SlJA2 decreased heat tolerance of transgenic tobacco plants via salicylic acid pathway. Plant Cell Reports. 36(4). 529–542. 27 indexed citations
5.
Higgins, Andrew M., et al.. (2017). Metastatic Mucinous Adenocarcinoma and Carcinoid Tumor Arising From a Mature Cystic Teratoma of a Horseshoe Kidney. Urology Case Reports. 11. 39–41. 9 indexed citations
6.
Walton, J.T., et al.. (2016). Lymphoepithelioma-like Carcinoma (LELC) of the Prostate. Urology Case Reports. 5. 25–26. 1 indexed citations
7.
Yang, Dong‐Yue, Nana Ma, Kunyang Zhuang, et al.. (2016). Overexpression of tomato SlGGP-LIKE gene improves tobacco tolerance to methyl viologen-mediated oxidative stress. Journal of Plant Physiology. 209. 31–41. 14 indexed citations
8.
Johnson, Benny, Maged Khalil, Joseph Blansfield, et al.. (2016). Investigating the prognostic value of KOC (K homology domain containing protein overexpressed in cancer) overexpression after curative intent resection of pancreatic ductal adenocarcinoma. Journal of Gastrointestinal Oncology. 6(7). E113–E117. 5 indexed citations
9.
Zhu, Shaobo, et al.. (2016). The Relationship Between Gene Polymorphism of Leptin and Leptin Receptor and Growth Hormone Deficiency. Medical Science Monitor. 22. 642–646. 4 indexed citations
10.
Zhu, Shaobo, Conrad Schuerch, & Jennifer L. Hunt. (2014). Review and Updates of Immunohistochemistry in Selected Salivary Gland and Head and Neck Tumors. Archives of Pathology & Laboratory Medicine. 139(1). 55–66. 95 indexed citations
11.
Lin, Fan, Jianhui Shi, Shaobo Zhu, et al.. (2014). Cadherin-17 and SATB2 Are Sensitive and Specific Immunomarkers for Medullary Carcinoma of the Large Intestine. Archives of Pathology & Laboratory Medicine. 138(8). 1015–1026. 84 indexed citations
12.
Xu, Liping, et al.. (2012). [Effect of chorioamnionitis on brain injury in preterm infants].. PubMed. 14(9). 661–3. 7 indexed citations
13.
Liang, John, Shaobo Zhu, Richard Bruggeman, et al.. (2010). High Levels of Expression of Human Stromal Cell–Derived Factor-1 Are Associated with Worse Prognosis in Patients with Stage II Pancreatic Ductal Adenocarcinoma. Cancer Epidemiology Biomarkers & Prevention. 19(10). 2598–2604. 57 indexed citations
14.
Zhu, Shaobo, et al.. (2009). [Severe enterovirus 71-associated hang-foot-and-mouth disease complicated by brainstem encephalitis: report of 2 cases].. PubMed. 11(6). 502–3. 1 indexed citations
15.
Yang, Hong, et al.. (2008). [Early use of recombinant human erythropoietin promotes neurobehavioral development in preterm infants].. PubMed. 10(5). 586–8. 19 indexed citations
16.
Brown, Robert, Ping L. Zhang, Mingyue Lun, et al.. (2006). Morphoproteomic and pharmacoproteomic rationale for mTOR effectors as therapeutic targets in head and neck squamous cell carcinoma.. PubMed. 36(3). 273–82. 27 indexed citations
17.
Åkervall, Jan, David M. Kurnit, Meredith E. Adams, et al.. (2004). Overexpression of cyclin D1 correlates with sensitivity to cisplatin in squamous cell carcinoma cell lines of the head and neck. Acta Oto-Laryngologica. 124(7). 851–857. 27 indexed citations
18.
Bradford, Carol R., Shaobo Zhu, Haruko Ogawa, et al.. (2003). P53 mutation correlates with cisplatin sensitivity in head and neck squamous cell carcinoma lines. Head & Neck. 25(8). 654–661. 123 indexed citations
19.
Soltys, Scott G., et al.. (2002). Human papillomavirus and p53 mutational status as prognostic factors in head and neck carcinoma. Head & Neck. 24(9). 841–849. 95 indexed citations
20.
Bradford, Carol R., Gregory T. Wolf, Thomas E. Carey, et al.. (1999). Predictive markers for response to chemotherapy, organ preservation, and survival in patients with advanced laryngeal carcinoma. Otolaryngology. 121(5). 534–538. 50 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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