Mei Ling Liu

528 total citations
9 papers, 370 citations indexed

About

Mei Ling Liu is a scholar working on Pediatrics, Perinatology and Child Health, Oncology and Clinical Psychology. According to data from OpenAlex, Mei Ling Liu has authored 9 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pediatrics, Perinatology and Child Health, 3 papers in Oncology and 2 papers in Clinical Psychology. Recurrent topics in Mei Ling Liu's work include Childhood Cancer Survivors' Quality of Life (6 papers), Cancer survivorship and care (3 papers) and Functional Brain Connectivity Studies (2 papers). Mei Ling Liu is often cited by papers focused on Childhood Cancer Survivors' Quality of Life (6 papers), Cancer survivorship and care (3 papers) and Functional Brain Connectivity Studies (2 papers). Mei Ling Liu collaborates with scholars based in China, United States and United Kingdom. Mei Ling Liu's co-authors include Zengjie Ye, Mu Zi Liang, Hong Zhong Qiu, Yuan Liang Yu, Pengfei Li, Peng Chen, Guang Yun Hu, Jing Zhao, Yun Zhu and Zhen Zeng and has published in prestigious journals such as British Journal of Cancer, Quality of Life Research and Breast Cancer Research and Treatment.

In The Last Decade

Mei Ling Liu

8 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mei Ling Liu China	8	182	121	91	68	63	9	370
Chao Xu Peh Singapore	14	202 1.1×	86 0.7×	116 1.3×	109 1.6×	63 1.0×	23	520
Sara Aghaee United States	10	131 0.7×	83 0.7×	87 1.0×	49 0.7×	69 1.1×	27	349
Guang Yun Hu China	12	178 1.0×	189 1.6×	162 1.8×	97 1.4×	91 1.4×	19	481
Marlena M. Ryba United States	9	143 0.8×	55 0.5×	104 1.1×	59 0.9×	88 1.4×	13	358
Hong Zhong Qiu China	9	285 1.6×	212 1.8×	127 1.4×	99 1.5×	106 1.7×	11	534
Danielle Petricone‐Westwood Canada	7	88 0.5×	88 0.7×	166 1.8×	84 1.2×	39 0.6×	13	377
Jong‐Heun Kim South Korea	10	64 0.4×	101 0.8×	145 1.6×	88 1.3×	41 0.7×	17	344
Chelsea G. Ratcliff United States	12	104 0.6×	69 0.6×	157 1.7×	47 0.7×	25 0.4×	30	394
Félix R. Compen Netherlands	12	231 1.3×	64 0.5×	198 2.2×	46 0.7×	122 1.9×	17	455
Gareth Abbey United Kingdom	6	126 0.7×	102 0.8×	113 1.2×	51 0.8×	19 0.3×	7	265

Countries citing papers authored by Mei Ling Liu

Since Specialization

Citations

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

Fields of papers citing papers by Mei Ling Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei Ling Liu. 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 Mei Ling Liu. The network helps show where Mei Ling Liu may publish in the future.

Co-authorship network of co-authors of Mei Ling Liu

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

All Works

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9 of 9 papers shown

Liang, Mu Zi, Peng Chen, Ying Tang, et al.. (2024). Brain Connectomics Improve the Prediction of High-Risk Depression Profiles in the First Year following Breast Cancer Diagnosis. Depression and Anxiety. 2024. 1–11. 8 indexed citations

Liang, Mu Zi, Mei Ling Liu, Ying Tang, et al.. (2023). Heterogeneity in resilience patterns and its prediction of 1-year quality of life outcomes among patients with newly diagnosed cancer: An exploratory piecewise growth mixture model analysis. European Journal of Oncology Nursing. 66. 102374–102374. 10 indexed citations

Liang, Mu Zi, Ying Tang, Peng Chen, et al.. (2023). Brain connectomics improve prediction of 1-year decreased quality of life in breast cancer: A multi-voxel pattern analysis. European Journal of Oncology Nursing. 68. 102499–102499. 13 indexed citations

Ye, Zengjie, Mu Zi Liang, Pengfei Li, et al.. (2018). Psychometric properties of the Chinese version of resilience scale specific to cancer: an item response theory analysis. Quality of Life Research. 27(6). 1635–1645. 47 indexed citations

Ye, Zengjie, Hong Zhong Qiu, Mu Zi Liang, et al.. (2017). Effect of a mentor-based, supportive-expressive program, Be Resilient to Breast Cancer, on survival in metastatic breast cancer: a randomised, controlled intervention trial. British Journal of Cancer. 117(10). 1486–1494. 71 indexed citations

Ye, Zengjie, Mei Ling Liu, Zhang Zhang, et al.. (2017). Psychometric properties of the Chinese version of the Parent Perception of Uncertainty Scale (PPUS) among parents of children with cancer diagnosis. International Journal of Nursing Sciences. 4(3). 278–284. 11 indexed citations

Ye, Zengjie, Hong Zhong Qiu, Pengfei Li, et al.. (2017). Validation and application of the Chinese version of the 10-item Connor-Davidson Resilience Scale (CD-RISC-10) among parents of children with cancer diagnosis. European Journal of Oncology Nursing. 27. 36–44. 143 indexed citations

Ye, Zengjie, Mu Zi Liang, Hong Zhong Qiu, et al.. (2016). Effect of a multidiscipline mentor-based program, Be Resilient to Breast Cancer (BRBC), on female breast cancer survivors in mainland China—A randomized, controlled, theoretically-derived intervention trial. Breast Cancer Research and Treatment. 158(3). 509–522. 67 indexed citations

Liu, Mei Ling. (2012). A Novel Approach to Identifying Global Exceptional Patterns in Distributed Data Mining. Applied Mechanics and Materials. 182-183. 1972–1977.

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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