Meng‐Yao Lu

3.6k total citations
156 papers, 2.2k citations indexed

About

Meng‐Yao Lu is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Meng‐Yao Lu has authored 156 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Hematology, 36 papers in Genetics and 31 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Meng‐Yao Lu's work include Acute Lymphoblastic Leukemia research (29 papers), Hemoglobinopathies and Related Disorders (27 papers) and Iron Metabolism and Disorders (22 papers). Meng‐Yao Lu is often cited by papers focused on Acute Lymphoblastic Leukemia research (29 papers), Hemoglobinopathies and Related Disorders (27 papers) and Iron Metabolism and Disorders (22 papers). Meng‐Yao Lu collaborates with scholars based in Taiwan, United States and China. Meng‐Yao Lu's co-authors include Kai‐Hsin Lin, Shiann‐Tarng Jou, Dong‐Tsamn Lin, Hsiu‐Hao Chang, Yung‐Li Yang, Bor‐Luen Chiang, Kuo‐Sin Lin, Jimmy P.S. Chern, Yao‐Hsu Yang and Wen‐Ming Hsu and has published in prestigious journals such as Blood, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Meng‐Yao Lu

148 papers receiving 2.1k citations

Peers

Meng‐Yao Lu
Neelam Varma India
Hyoung Jin Kang South Korea
Ali Ünal Türkiye
Reena Das India
Marc Bernard France
Rami Mahfouz Lebanon
Steven H. Kroft United States
Robert M. Dean United States
Ulrich S. Schuler Germany
Nelson Hamerschlak Brazil
Neelam Varma India
Meng‐Yao Lu
Citations per year, relative to Meng‐Yao Lu Meng‐Yao Lu (= 1×) peers Neelam Varma

Countries citing papers authored by Meng‐Yao Lu

Since Specialization
Citations

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

Fields of papers citing papers by Meng‐Yao Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng‐Yao Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Meng‐Yao Lu. A scholar is included among the top collaborators of Meng‐Yao 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 Meng‐Yao Lu. Meng‐Yao 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.
Lal, Ashutosh, Vip Viprakasit, Elliott Vichinsky, et al.. (2024). Disease burden, management strategies, and unmet needs in α‐thalassemia due to hemoglobin H disease. American Journal of Hematology. 99(11). 2164–2177.
2.
Shang, Ronghua, et al.. (2024). Double-dictionary learning unsupervised feature selection cooperating with low-rank and sparsity. Knowledge-Based Systems. 304. 112566–112566. 1 indexed citations
3.
Locatelli, Franco, Bülent Antmen, Hyoung Jin Kang, et al.. (2024). Ruxolitinib in treatment-naive or corticosteroid-refractory paediatric patients with chronic graft-versus-host disease (REACH5): interim analysis of a single-arm, multicentre, phase 2 study. The Lancet Haematology. 11(8). e580–e592. 4 indexed citations
4.
Lu, Meng‐Yao, et al.. (2023). Research on river water quality evaluation based on the GA-PP and improved fuzzy model. Water Science & Technology. 88(8). 2160–2173. 2 indexed citations
5.
Lu, Meng‐Yao, et al.. (2023). Prediction of Carbon Emission of the Transportation Sector in Jiangsu Province-Regression Prediction Model Based on GA-SVM. Sustainability. 15(4). 3631–3631. 31 indexed citations
6.
Chang, Ya‐Hsuan, Shiann‐Tarng Jou, Chien‐Yu Lin, et al.. (2022). A microRNA signature for clinical outcomes of pediatric ALL patients treated with TPOG protocols. PubMed Central. 1 indexed citations
7.
Hsu, Wei-Yun, Hsiu‐Hao Chang, Meng‐Yao Lu, et al.. (2020). Clinical risk stratification of children with SIOPEL high-risk hepatoblastoma in Taiwan. Pediatrics & Neonatology. 61(4). 393–398. 3 indexed citations
8.
Chen, Shih‐Hsiang, Jiann-Shiuh Chen, Shiann‐Tarng Jou, et al.. (2019). Outcome and prognosis of anaplastic large cell lymphoma in children: a report from the Taiwan Pediatric Oncology Group. Leukemia & lymphoma. 60(8). 1942–1949. 3 indexed citations
9.
Cheng, Jason Chia‐Hsien, Yu‐Hsuan Chen, Meng‐Yao Lu, et al.. (2019). Local Control and Clinical Outcome of High-risk Pediatric Neuroblastoma Patients After Receiving Multimodality Treatment and Helical Tomotherapy. Anticancer Research. 39(4). 2207–2215. 4 indexed citations
10.
Li, Meng‐Ju, Ni‐Chung Lee, Yung‐Li Yang, et al.. (2015). Long-term outcome for Down syndrome patients with hematopoietic disorders. Journal of the Formosan Medical Association. 115(2). 94–99. 2 indexed citations
11.
Li, Meng‐Ju, Yung‐Li Yang, Ni‐Chung Lee, et al.. (2015). Tet oncogene family member 2 gene alterations in childhood acute myeloid leukemia. Journal of the Formosan Medical Association. 115(9). 801–806. 10 indexed citations
12.
Chang, Hsiu‐Hao, Chia‐Hua Chen, Yung‐Feng Liao, et al.. (2013). β-1,4-Galactosyltransferase III Enhances Invasive Phenotypes Via β1-Integrin and Predicts Poor Prognosis in Neuroblastoma. Clinical Cancer Research. 19(7). 1705–1716. 39 indexed citations
13.
Lin, Chien‐Ming, Cheng-Ting Lee, Yi‐Ching Tung, et al.. (2012). Endocrine dysfunction in Taiwanese children with human chorionic gonadotropin-secreting germ cell tumors. Journal of the Formosan Medical Association. 113(2). 102–105. 5 indexed citations
14.
Chen, Szu‐Ta, Yen‐Hsuan Ni, Pei‐Jer Chen, et al.. (2009). Low viraemia at enrollment in children with chronic hepatitis C favours spontaneous viral clearance. Journal of Viral Hepatitis. 16(11). 796–801. 8 indexed citations
15.
Hsu, Wen‐Ming, Hsinyu Lee, Hsueh‐Fen Juan, et al.. (2008). Identification of GRP75 as an Independent Favorable Prognostic Marker of Neuroblastoma by a Proteomics Analysis. Clinical Cancer Research. 14(19). 6237–6245. 25 indexed citations
16.
Chern, Jimmy P.S., Kai‐Hsin Lin, Meng‐Yao Lu, et al.. (2007). β‐Thalassemia major births after National Screening Program in Taiwan. Pediatric Blood & Cancer. 50(1). 58–61. 18 indexed citations
17.
Chern, Jimmy P.S., Syi Su, Kai‐Hsin Lin, et al.. (2006). Survival, mortality, and complications in patients with β‐Thalassemia major in northern Taiwan. Pediatric Blood & Cancer. 48(5). 550–554. 34 indexed citations
18.
Lu, Meng‐Yao, et al.. (2000). Bone marrow transplantation from an HLA-matched unrelated donor for treatment of Chediak-Higashi syndrome.. PubMed. 99(6). 499–502. 11 indexed citations
19.
Chu, Li‐Wen, Meng‐Yao Lu, & Yong‐Kwei Tsau. (1999). Sonographic Measurements of Renal Size in Normal Children and Children with Compensatory Renal Hypertrophy. 40(1). 18–21. 4 indexed citations
20.
Hwu, Wuh‐Liang, S. Huang, Meng‐Yao Lu, et al.. (1999). Niemann–Pick disease type C (a cellular cholesterol lipidosis) treated by bone marrow transplantation. Bone Marrow Transplantation. 24(1). 103–107. 45 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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