Su Lu

1.1k total citations
32 papers, 794 citations indexed

About

Su Lu is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Su Lu has authored 32 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Oncology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Su Lu's work include Ubiquitin and proteasome pathways (6 papers), Heat shock proteins research (5 papers) and Genetic factors in colorectal cancer (4 papers). Su Lu is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), Heat shock proteins research (5 papers) and Genetic factors in colorectal cancer (4 papers). Su Lu collaborates with scholars based in China, United States and Germany. Su Lu's co-authors include Huamei Tang, Dongwang Yan, Zhihai Peng, Zehua Wu, Guoqiang Qiu, Zhihai Peng, Han Yang, Chongzhi Zhou, Xiaoliang Wang and Jian Chen and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and British Journal of Cancer.

In The Last Decade

Su Lu

30 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su Lu China 17 537 337 158 90 73 32 794
Xiaopeng Cui China 17 470 0.9× 244 0.7× 137 0.9× 77 0.9× 75 1.0× 35 676
Sajjeev Jagannathan United States 11 525 1.0× 260 0.8× 119 0.8× 105 1.2× 66 0.9× 22 735
Qi Shen China 17 707 1.3× 534 1.6× 113 0.7× 85 0.9× 77 1.1× 41 1.1k
Cheng‐Gong Liao China 14 727 1.4× 329 1.0× 170 1.1× 174 1.9× 52 0.7× 26 877
Yang Han China 16 417 0.8× 168 0.5× 94 0.6× 75 0.8× 62 0.8× 43 612
Souzan Najafi Iran 15 416 0.8× 254 0.8× 226 1.4× 92 1.0× 75 1.0× 35 726
Pan Chen China 15 593 1.1× 475 1.4× 175 1.1× 88 1.0× 76 1.0× 38 857
Shashirekha Shetty United States 10 584 1.1× 269 0.8× 214 1.4× 98 1.1× 53 0.7× 31 856

Countries citing papers authored by Su Lu

Since Specialization
Citations

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

Fields of papers citing papers by Su Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Su Lu. A scholar is included among the top collaborators of Su Lu 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 Su Lu. Su Lu 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.
Xu, Anran, et al.. (2025). SUMO1 promotes malignancy and chemoresistance in colorectal cancer: Clinical and functional evidence. Tissue and Cell. 98. 103191–103191.
2.
Lu, Su, et al.. (2023). Dual roles of TRIM3 in colorectal cancer by retaining p53 in the cytoplasm to decrease its nuclear expression. Cell Death Discovery. 9(1). 85–85. 2 indexed citations
3.
Sun, Bo, et al.. (2021). LINC00665 Stimulates Breast Cancer Progression via Regulating miR-551b-5p. Cancer Management and Research. Volume 13. 1113–1121. 14 indexed citations
4.
Liu, Tingting, Xi-Sheng Liu, Meng Zhang, et al.. (2018). Cartilage oligomeric matrix protein is a prognostic factor and biomarker of colon cancer and promotes cell proliferation by activating the Akt pathway. Journal of Cancer Research and Clinical Oncology. 144(6). 1049–1063. 56 indexed citations
5.
Lu, Su, et al.. (2018). P1.12-04 A Ph3 Study of Niraparib as Maintenance Therapy in 1L Platinum Responsive Extensive Disease Small Cell Lung Cancer Patients. Journal of Thoracic Oncology. 13(10). S574–S574. 1 indexed citations
6.
Han, Yang, Su Lu, Fudong Yu, et al.. (2016). A comparative analysis and guidance for individualized chemotherapy of stage II and III colorectal cancer patients based on pathological markers. Scientific Reports. 6(1). 37240–37240. 3 indexed citations
7.
Yuan, Chenwei, Xingwu Zhu, Han Yang, et al.. (2016). Elevated HOXA1 expression correlates with accelerated tumor cell proliferation and poor prognosis in gastric cancer partly via cyclin D1. Journal of Experimental & Clinical Cancer Research. 35(1). 15–15. 59 indexed citations
8.
Zhang, Meng, Feifei Cui, Su Lu, et al.. (2015). Developmental pluripotency-associated 4: a novel predictor for prognosis and a potential therapeutic target for colon cancer. Journal of Experimental & Clinical Cancer Research. 34(1). 60–60. 12 indexed citations
9.
Yang, Han, Su Lu, Yugang Wen, et al.. (2015). Overexpression of HOXA10 promotes gastric cancer cells proliferation and HOXA10+/CD44+ is potential prognostic biomarker for gastric cancer. European Journal of Cell Biology. 94(12). 642–652. 30 indexed citations
10.
Zhang, Yu, Meng Zhang, Fudong Yu, et al.. (2015). Karyopherin alpha 2 is a novel prognostic marker and a potential therapeutic target for colon cancer. Journal of Experimental & Clinical Cancer Research. 34(1). 145–145. 33 indexed citations
11.
Wu, Zehua, Feifei Cui, Fudong Yu, et al.. (2014). Up-regulation of CHAF1A, a poor prognostic factor, facilitates cell proliferation of colon cancer. Biochemical and Biophysical Research Communications. 449(2). 208–215. 18 indexed citations
12.
Lu, Su, et al.. (2014). UNC45A localizes to centrosomes and regulates cancer cell proliferation through ChK1 activation. Cancer Letters. 357(1). 114–120. 10 indexed citations
13.
Lu, Su, My El Abbés Faouzi, Bouchra Meddah, et al.. (2014). Bioactive metabolites from Chaetomium aureum: Structure elucidation and inhibition of the Hsp90 machine chaperoning activity. Bioorganic & Medicinal Chemistry. 23(1). 126–131. 15 indexed citations
15.
Wu, Zehua, Xiaoliang Wang, Huamei Tang, et al.. (2014). Long non-coding RNA HOTAIR is a powerful predictor of metastasis and poor prognosis and is associated with epithelial-mesenchymal transition in colon cancer. Oncology Reports. 32(1). 395–402. 187 indexed citations
16.
Zhu, Xingwu, Han Yang, Chenwei Yuan, et al.. (2014). Overexpression of Reg4, alone or combined with MMP-7 overexpression, is predictive of poor prognosis in colorectal cancer. Oncology Reports. 33(1). 320–328. 22 indexed citations
17.
Jiang, Tao, Huamei Tang, Su Lu, et al.. (2013). Up-regulation of tripartite motif-containing 29 promotes cancer cell proliferation and predicts poor survival in colorectal cancer. Medical Oncology. 30(4). 715–715. 35 indexed citations
18.
Jiang, Tao, Huamei Tang, Zehua Wu, et al.. (2013). Cullin 4B is a novel prognostic marker that correlates with colon cancer progression and pathogenesis. Medical Oncology. 30(2). 534–534. 45 indexed citations
19.
Castro, Francisco, Bárbara Leal, Ron Bahar, et al.. (2009). Vaccination with Mage-b DNA induces CD8 T-cell responses at young but not old age in mice with metastatic breast cancer. British Journal of Cancer. 101(8). 1329–1337. 28 indexed citations
20.
Zhang, Yingjie & Su Lu. (2007). Feature extraction from slice data for reverse engineering. Frontiers of Mechanical Engineering in China. 2(1). 25–31. 1 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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