Shujian Wu

3.3k total citations · 2 hit papers
46 papers, 2.6k citations indexed

About

Shujian Wu is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shujian Wu has authored 46 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shujian Wu's work include Gut microbiota and health (7 papers), Protein Hydrolysis and Bioactive Peptides (7 papers) and Retinoids in leukemia and cellular processes (4 papers). Shujian Wu is often cited by papers focused on Gut microbiota and health (7 papers), Protein Hydrolysis and Bioactive Peptides (7 papers) and Retinoids in leukemia and cellular processes (4 papers). Shujian Wu collaborates with scholars based in China, United States and New Zealand. Shujian Wu's co-authors include Yu Ding, Kenneth J. Soprano, Qingping Wu, Edwin Clark, Andrew K. Godwin, José Baselga, Howard A. Burris, Tai W. Wong, Benjamin Tan and Christopher R. Garrett and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Shujian Wu

45 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Expression of Epiregulin and Amphiregulin and K-ras Mutation Status Predict Disease Control in Metastatic Colorectal Cancer Patients Treated With Cetuximab

2007 898 citations Neal J. Meropol, Mark Basik et al. profile →
Effect of Dietary Protein and Processing on Gut Microbiota—A Systematic Review

2022 126 citations Shujian Wu, Yu Ding et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shujian Wu China	21	1.1k	1.0k	436	341	236	46	2.6k
James O’Kelly United States	30	1.4k 1.3×	477 0.5×	129 0.3×	492 1.4×	243 1.0×	59	3.0k
Junko Sugatani Japan	34	1.2k 1.1×	532 0.5×	259 0.6×	133 0.4×	288 1.2×	100	3.4k
Amarjit S. Naura United States	30	777 0.7×	678 0.7×	300 0.7×	98 0.3×	165 0.7×	64	2.0k
Stan Lightfoot United States	33	1.6k 1.4×	1.1k 1.0×	311 0.7×	204 0.6×	663 2.8×	107	3.0k
Vivienne E. Reeve Australia	34	800 0.7×	269 0.3×	250 0.6×	562 1.6×	122 0.5×	101	3.1k
Masao Miwa Japan	32	878 0.8×	385 0.4×	178 0.4×	157 0.5×	166 0.7×	83	2.7k
Masako Nakanishi United States	22	778 0.7×	458 0.4×	95 0.2×	148 0.4×	385 1.6×	52	1.9k
Larisa Nonn United States	30	1.5k 1.3×	411 0.4×	385 0.9×	640 1.9×	772 3.3×	69	2.9k
Dong Xiao China	34	2.8k 2.4×	451 0.4×	157 0.4×	172 0.5×	660 2.8×	88	3.8k
Wolfgang Hagmann Germany	23	626 0.6×	637 0.6×	186 0.4×	90 0.3×	245 1.0×	49	2.1k

Countries citing papers authored by Shujian Wu

Since Specialization

Citations

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

Fields of papers citing papers by Shujian Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shujian Wu

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

All Works

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20 of 20 papers shown

Calvo, Emiliano, Bernard Doger, Joan Carles, et al.. (2025). A first-in-human study of JNJ-70218902, a bispecific T-cell-redirecting antibody against TMEFF2 in metastatic castration-resistant prostate cancer. The Oncologist. 30(1). 2 indexed citations

Wang, Caixia, et al.. (2025). Effect of nursing process-based nursing decision implementation on emergency patients with acute ST-segment elevation myocardial infarction. BMC Nursing. 24(1). 125–125. 1 indexed citations

Fan, Lifang, et al.. (2024). Preoperative prediction of rectal Cancer staging combining MRI deep transfer learning, radiomics features, and clinical factors: accurate differentiation from stage T2 to T3. BMC Gastroenterology. 24(1). 247–247. 6 indexed citations

Fan, Lifang, et al.. (2024). Preoperative discrimination of invasive and non-invasive breast cancer using machine learning based on automated breast volume scanning (ABVS) radiomics and virtual touch quantification (VTQ). Discover Oncology. 15(1). 565–565. 1 indexed citations

Chen, Guoxian, Lifang Fan, Jie Liu, & Shujian Wu. (2023). Machine learning-based predictive model for the differential diagnosis of ≤ 5 cm gastric stromal tumor and gastric schwannoma based on CT images. Discover Oncology. 14(1). 186–186. 1 indexed citations

Lim, Emerson A., Michael T. Schweizer, Kim N., et al.. (2023). Phase 1 Study of Safety and Preliminary Clinical Activity of JNJ-63898081, a PSMA and CD3 Bispecific Antibody, for Metastatic Castration-Resistant Prostate Cancer. Clinical Genitourinary Cancer. 21(3). 366–375. 32 indexed citations

Wu, Shujian, Mengfei Chen, Yizhen Xie, et al.. (2023). Comparison of Neuroprotection and Regulating Properties on Gut Microbiota between Selenopeptide Val-Pro-Arg-Lys-Leu-SeMet and Its Native Peptide Val-Pro-Arg-Lys-Leu-Met In Vitro and In Vivo. Journal of Agricultural and Food Chemistry. 71(32). 12203–12215. 19 indexed citations

Wu, Yimin, et al.. (2023). An Automated Breast Volume Scanner-Based Intra- and Peritumoral Radiomics Nomogram for the Preoperative Prediction of Expression of Ki-67 in Breast Malignancy. Academic Radiology. 31(1). 93–103. 12 indexed citations

Wu, Shujian, Qingping Wu, Juan Wang, et al.. (2022). Novel Selenium Peptides Obtained from Selenium-Enriched Cordyceps militaris Alleviate Neuroinflammation and Gut Microbiota Dysbacteriosis in LPS-Injured Mice. Journal of Agricultural and Food Chemistry. 70(10). 3194–3206. 49 indexed citations

10.

Wu, Shujian, Xiyu Liao, Zhenjun Zhu, et al.. (2022). Antioxidant and anti-inflammation effects of dietary phytochemicals: The Nrf2/NF-κB signalling pathway and upstream factors of Nrf2. Phytochemistry. 204. 113429–113429. 66 indexed citations

11.

Zhu, Zhenjun, Rui Huang, Juan Wang, et al.. (2022). Polysaccharide from Agrocybe cylindracea prevents diet-induced obesity through inhibiting inflammation mediated by gut microbiota and associated metabolites. International Journal of Biological Macromolecules. 209(Pt A). 1430–1438. 69 indexed citations

12.

Lipardi, Concetta, C. Gregory Elliott, Lloyd Haskell, et al.. (2021). Risk of Severe Bleeding With Extended Rivaroxaban to Prevent Venous Thromboembolism in Acute Medically Ill Patients With Bronchiectasis. Clinical and Applied Thrombosis/Hemostasis. 27. 2975234820–2975234820. 1 indexed citations

13.

Weaver, James, Azza Shoaibi, Shujian Wu, et al.. (2021). Comparative Risk Assessment of Severe Uterine Bleeding Following Exposure to Direct Oral Anticoagulants: A Network Study Across Four Observational Databases in the USA. Drug Safety. 44(4). 479–497. 9 indexed citations

14.

Zhou, Juanjuan, Mengfei Chen, Shujian Wu, et al.. (2020). A review on mushroom-derived bioactive peptides: Preparation and biological activities. Food Research International. 134. 109230–109230. 105 indexed citations

15.

Wu, Shujian, et al.. (2019). Preparation of Hydrolysate with Umami from White Shrimp (Penaeus vannamei) Head. 40(4). 34–42. 1 indexed citations

16.

Sun, Yanjing, Qi Xuan, Shujian Wu, et al.. (2013). Correlation of tumor relapse and elevated expression of survivin and vascular endothelial growth factor in superficial bladder transitional cell carcinoma. Genetics and Molecular Research. 12(2). 1045–1053. 14 indexed citations

17.

Garrett, Christopher, Edwin Clark, Mark Basik, et al.. (2007). Expression of epiregulin and amphiregulin and K-RAS mutation status predict disease control in metastatic colorectal cancer patients treated with cetuximab (Erbitux ®). Cancer Research. 67. 5670–5670. 3 indexed citations

18.

Tsuchihashi, Zenta, et al.. (2006). Assessment of tissue biomarkers following anti-CD137 treatment in the EMT-6 mouse tumor model.. Cancer Research. 66. 1306–1306. 2 indexed citations

19.

Lee, Ning, Jian Chen, Lucy Sun, et al.. (2003). Expression and Characterization of Human Transient Receptor Potential Melastatin 3 (hTRPM3). Journal of Biological Chemistry. 278(23). 20890–20897. 170 indexed citations

20.

Wu, Shujian, et al.. (1996). Overexpression of Mxi1 inhibits the induction of the human ornithine decarboxylase gene by the Myc/Max protein complex.. PubMed. 12(3). 621–9. 35 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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