Yiping Lu

2.4k total citations · 1 hit paper
76 papers, 1.7k citations indexed

About

Yiping Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Genetics. According to data from OpenAlex, Yiping Lu has authored 76 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Surgery and 16 papers in Genetics. Recurrent topics in Yiping Lu's work include Glioma Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Meningioma and schwannoma management (11 papers). Yiping Lu is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Meningioma and schwannoma management (11 papers). Yiping Lu collaborates with scholars based in China, United Kingdom and United States. Yiping Lu's co-authors include Bo Yin, Xuanxuan Li, Daoying Geng, Daoying Geng, Nan Mei, Yajing Zhao, Dongdong Wang, Anling Xiao, Ji Xiong and Chu‐Chung Huang and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and ACS Nano.

In The Last Decade

Yiping Lu

70 papers receiving 1.7k citations

Hit Papers

Cerebral Micro-Structural Changes in COVID-19 Patients – ... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiping Lu China 18 487 451 318 234 234 76 1.7k
Bo Yin China 22 512 1.1× 234 0.5× 334 1.1× 220 0.9× 54 0.2× 88 1.7k
Oliver Grauer Germany 31 421 0.9× 636 1.4× 187 0.6× 369 1.6× 253 1.1× 78 3.5k
Saud Sadiq United States 32 971 2.0× 880 2.0× 145 0.5× 114 0.5× 130 0.6× 85 2.8k
Emiliano Giardina Italy 27 167 0.3× 905 2.0× 172 0.5× 155 0.7× 134 0.6× 145 2.2k
Joo Hyun Kim South Korea 31 153 0.3× 470 1.0× 145 0.5× 216 0.9× 171 0.7× 91 2.1k
Andreas Bitsch Germany 25 768 1.6× 643 1.4× 421 1.3× 534 2.3× 86 0.4× 48 3.4k
Minoru Miyashita Japan 26 72 0.1× 413 0.9× 379 1.2× 153 0.7× 684 2.9× 143 2.3k
Giovanni Cavallo Italy 26 101 0.2× 594 1.3× 88 0.3× 179 0.8× 186 0.8× 100 2.1k
Björn Tackenberg Germany 25 845 1.7× 614 1.4× 418 1.3× 144 0.6× 99 0.4× 74 2.8k

Countries citing papers authored by Yiping Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yiping Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiping Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yiping Lu. A scholar is included among the top collaborators of Yiping 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 Yiping Lu. Yiping 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
2.
Tan, Jun, Yiping Lu, Zehuai Wen, et al.. (2024). Focus on podocytes: diabetic kidney disease and renal fibrosis — a global bibliometric analysis (2000–2024). Frontiers in Pharmacology. 15. 1454586–1454586. 4 indexed citations
3.
Yu, Miao, Qian Chen, & Yiping Lu. (2024). Aldehyde dehydrogenase 2 family member repression promotes colorectal cancer progression by JNK/p38 MAPK pathways-mediated apoptosis and DNA damage. World Journal of Gastrointestinal Oncology. 16(7). 3230–3240. 2 indexed citations
4.
Zhao, Yajing, Yiping Lu, Peng Li, et al.. (2023). Meningioma consistency assessment based on the fusion of deep learning features and radiomics features. European Journal of Radiology. 170. 111250–111250. 7 indexed citations
5.
Han, Qiu-Yue, Yiping Lu, Dongdong Wang, et al.. (2022). Assessment of dynamic hepatic and renal imaging changes in COVID-19 survivors using T1 mapping and IVIM-DWI. Abdominal Radiology. 47(5). 1817–1827. 3 indexed citations
6.
Liu, Yao, Yiping Lu, Bo Ning, et al.. (2022). Intravenous Delivery of Living Listeria monocytogenes Elicits Gasdmermin-Dependent Tumor Pyroptosis and Motivates Anti-Tumor Immune Response. ACS Nano. 16(3). 4102–4115. 99 indexed citations
7.
Li, Xuanxuan, Yajing Zhao, Yiping Lu, et al.. (2022). Performances of clinical characteristics and radiological findings in identifying COVID-19 from suspected cases. BMC Medical Imaging. 22(1). 55–55. 1 indexed citations
8.
Kuai, Xinping, Yuefei Zhu, Shengyu Wang, et al.. (2021). Perfluorooctyl bromide nanoemulsions holding MnO2 nanoparticles with dual-modality imaging and glutathione depletion enhanced HIFU-eliciting tumor immunogenic cell death. Acta Pharmaceutica Sinica B. 12(2). 967–981. 35 indexed citations
9.
Zheng, Yingyan, Anling Xiao, Xiangrong Yu, et al.. (2020). Development and Validation of a Prognostic Nomogram Based on Clinical and CT Features for Adverse Outcome Prediction in Patients with COVID-19. Korean Journal of Radiology. 21(8). 1007–1007. 20 indexed citations
10.
Lu, Yiping, Xuanxuan Li, Daoying Geng, et al.. (2020). Cerebral Micro-Structural Changes in COVID-19 Patients – An MRI-based 3-month Follow-up Study. EClinicalMedicine. 25. 100484–100484. 417 indexed citations breakdown →
11.
Lu, Yiping, Markand Patel, K. Natarajan, et al.. (2020). Machine learning-based radiomic, clinical and semantic feature analysis for predicting overall survival and MGMT promoter methylation status in patients with glioblastoma. Magnetic Resonance Imaging. 74. 161–170. 42 indexed citations
12.
She, Dejun, Yiping Lu, Ji Xiong, Daoying Geng, & Bo Yin. (2019). MR imaging features of spinal pilocytic astrocytoma. BMC Medical Imaging. 19(1). 5–5. 17 indexed citations
13.
Wu, Bo, Lei Huang, Wujie Qiu, et al.. (2019). Small nucleolar RNA Sf-15 regulates proliferation and apoptosis of Spodoptera frugiperda Sf9 cells. BMC Molecular Biology. 20(1). 12–12. 4 indexed citations
14.
Lu, Yiping, et al.. (2017). Axillary Apocrine Carcinoma with Bone Metastasis: First Report with Bone Scan Image. 2(1). 1 indexed citations
15.
Liu, Zhihong, et al.. (2015). Association between the interleukin-6 gene polymorphisms and renal cancer risk. Immunology Letters. 164(2). 125–128. 10 indexed citations
16.
Liu, Zhihong, Liang Jiang, Yujie Wang, et al.. (2015). Apolipoprotein A1 -75 G/A and +83 C/T polymorphisms and renal cancer risk. Lipids in Health and Disease. 14(1). 143–143. 11 indexed citations
17.
Lin, Tao, et al.. (2014). The management of urethral stricture after kidney transplantation. International Urology and Nephrology. 46(11). 2143–2145. 5 indexed citations
19.
Lu, Yiping, Rui Gao, Guorui Cao, et al.. (2006). Conversion From Cyclosporine to Mycophenolate Mofetil Improves Expression of A20 in the Rat Kidney Allografts Undergoing Chronic Rejection. Transplantation Proceedings. 38(7). 2164–2167. 4 indexed citations
20.
Li, Y., et al.. (2004). Safety of mycophenolate mofetil versus azathioprine in renal transplantation: A systematic review. Transplantation Proceedings. 36(7). 2068–2070. 64 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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