Ning-Ning Lu

684 total citations
54 papers, 350 citations indexed

About

Ning-Ning Lu is a scholar working on Oncology, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Ning-Ning Lu has authored 54 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 19 papers in Pathology and Forensic Medicine and 16 papers in Surgery. Recurrent topics in Ning-Ning Lu's work include Breast Cancer Treatment Studies (14 papers), Colorectal Cancer Surgical Treatments (9 papers) and Lymphoma Diagnosis and Treatment (9 papers). Ning-Ning Lu is often cited by papers focused on Breast Cancer Treatment Studies (14 papers), Colorectal Cancer Surgical Treatments (9 papers) and Lymphoma Diagnosis and Treatment (9 papers). Ning-Ning Lu collaborates with scholars based in China and United States. Ning-Ning Lu's co-authors include Ye‐Xiong Li, Shulian Wang, Hui Fang, Hua Ren, Weihu Wang, Runye Wu, Yong-Wen Song, Yueping Liu, Ximei Zhang and Yue‐Ping Liu and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Ning-Ning Lu

49 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning-Ning Lu China 10 182 152 83 61 61 54 350
Prashant Jani Canada 12 147 0.8× 209 1.4× 42 0.5× 110 1.8× 28 0.5× 23 498
Hitomi Suzuki Japan 9 111 0.6× 27 0.2× 99 1.2× 50 0.8× 25 0.4× 43 459
Carlo Furlan Italy 13 180 1.0× 28 0.2× 252 3.0× 98 1.6× 80 1.3× 29 515
Lee J. McGhan United States 11 153 0.8× 226 1.5× 136 1.6× 166 2.7× 24 0.4× 18 579
X. Sanz Spain 11 136 0.7× 53 0.3× 147 1.8× 117 1.9× 108 1.8× 32 455
Fredrika Killander Sweden 12 199 1.1× 94 0.6× 73 0.9× 47 0.8× 26 0.4× 25 411
Sara Falivene Italy 9 315 1.7× 18 0.1× 137 1.7× 70 1.1× 60 1.0× 27 521
Claudio Chini Italy 8 107 0.6× 135 0.9× 175 2.1× 116 1.9× 6 0.1× 21 342
Imelda Parker Ireland 12 120 0.7× 61 0.4× 148 1.8× 220 3.6× 10 0.2× 25 448
Jean-Rémy Garbay France 11 186 1.0× 140 0.9× 128 1.5× 181 3.0× 115 1.9× 20 604

Countries citing papers authored by Ning-Ning Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ning-Ning Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning-Ning Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Ning-Ning Lu. A scholar is included among the top collaborators of Ning-Ning 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 Ning-Ning Lu. Ning-Ning 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.
Lu, Ning-Ning, et al.. (2024). Cloning, characterization, and evolutionary patterns of KCNQ4 genes in anurans. Ecology and Evolution. 14(4). e11311–e11311. 1 indexed citations
3.
Lu, Ning-Ning, et al.. (2024). Revealr-Based Diagnostic Panel for Rapid Detection of Acute Respiratory Infections. ACS Synthetic Biology. 13(12). 4202–4208. 1 indexed citations
4.
Ma, Huiying, Yuan Tang, Haitao Zhou, et al.. (2024). Results of a prospective phase II study of total neoadjuvant therapy for locally advanced rectal cancer.. Journal of Clinical Oncology. 42(3_suppl). 147–147.
5.
Shi, Jinming, Ning Li, Liming Jiang, et al.. (2024). A prospective phase II clinical trial of total neoadjuvant therapy for locally advanced gastric cancer and gastroesophageal junction adenocarcinoma. Scientific Reports. 14(1). 7522–7522. 4 indexed citations
6.
Liu, Zhiqiang, Siye Chen, Yong-Wen Song, et al.. (2023). Voluntary Deep Inspiration Breath-Hold (VDIBH) Whole-Breast Irradiation Assisted by Optical Surface Monitoring System (OSMS) in Patients With Left-Sided Breast Cancer: A Prospective Phase II Study. Technology in Cancer Research & Treatment. 22. 2223915661–2223915661. 1 indexed citations
7.
Wei, R., Yulong Tian, Wei Xia, et al.. (2023). Adaptive Ultra-Hypofractionated Whole-Pelvic Radiotherapy in High-Risk and Very High-Risk Prostate Cancer on 1.5-1.5 MR Linac: The Estimated Delivered Dose and Early Toxicity Results. International Journal of Radiation Oncology*Biology*Physics. 117(2). e384–e384.
10.
Huang, Zhou, Hui Fang, Yu Tang, et al.. (2023). Breast-conserving surgery versus mastectomy for treatment of breast cancer after neoadjuvant chemotherapy. Frontiers in Oncology. 13. 1178230–1178230. 8 indexed citations
12.
Liu, Xin, Yong Yang, Shulian Wang, et al.. (2022). Effects of gross tumor volume and radiation dose on survival and locoregional recurrence in early-stage extranodal NK/T-cell lymphoma treated with intensity-modulated radiation therapy. Journal of Cancer Research and Clinical Oncology. 149(8). 5219–5230. 2 indexed citations
13.
Wang, Shulian, Ye‐Xiong Li, Yanmei Wang, et al.. (2022). Predicting pathological complete response of neoadjuvant radiotherapy and targeted therapy for soft tissue sarcoma by whole-tumor texture analysis of multisequence MRI imaging. European Radiology. 33(6). 3984–3994. 25 indexed citations
14.
Chen, Siye, Yu Tang, Jing Hao, et al.. (2022). Timing of postmastectomy radiotherapy following adjuvant chemotherapy for high-risk breast cancer: A post hoc analysis of a randomised controlled clinical trial. European Journal of Cancer. 174. 153–164. 4 indexed citations
15.
Zhang, Chi, et al.. (2022). Theoretical Explanation of Upper Limb Functional Exercise and Its Maintenance in Postoperative Patients With Breast Cancer. Frontiers in Psychology. 12. 794777–794777. 3 indexed citations
16.
Chen, Silin, Yuan Tang, Ning Li, et al.. (2021). Development and Validation of an MRI-Based Nomogram Model for Predicting Disease-Free Survival in Locally Advanced Rectal Cancer Treated With Neoadjuvant Radiotherapy. Frontiers in Oncology. 11. 784156–784156. 1 indexed citations
17.
Yao, Lihong, Jianzhong Shou, Shulian Wang, et al.. (2020). Long-term outcomes of moderately hypofractionated radiotherapy (67.5 Gy in 25 fractions) for prostate cancer confined to the pelvis: a single center retrospective analysis. Radiation Oncology. 15(1). 231–231. 4 indexed citations
18.
Huang, Zhou, Yu Tang, Shulian Wang, et al.. (2019). Predicting the risk of non-sentinel lymph node metastasis in breast cancer patients with 1-2 positive sentinel lymph nodes. Zhonghua fangshe zhongliuxue zazhi. 28(2). 102–107. 1 indexed citations
19.
Lu, Ning-Ning, Jing Jin, Ye‐Xiong Li, et al.. (2011). Outcome of locally advanced rectal cancer patients treated with radical surgery followed by concurrent capecitabine and radiotherapy. Zhonghua fangshe zhongliuxue zazhi. 20(6). 497–501. 1 indexed citations
20.
Qi, Shunan, Ye‐Xiong Li, Weihu Wang, et al.. (2011). The extent of cutaneous lesions predicts outcome in extranodal nasal-type natural killer/T-cell lymphoma of the upper aerodigestive tract with secondary cutaneous involvement. Leukemia & lymphoma. 53(5). 855–861. 8 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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