Zhaoling Meng

822 citations
21 papers · 356 indexed · h-index 9
Topics
Statistical Methods in Clinical Trials (12 papers)Health Systems, Economic Evaluations, Quality of Life (6 papers)Advanced Causal Inference Techniques (6 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE

In The Last Decade

Zhaoling Meng

19 papers receiving 344 citations

Peers

Zhaoling Meng
Comparison fields: 5 of 70
  • Genetics 168
  • Molecular Biology 131
  • Statistics and Probability 85
  • Economics and Econometrics 39
  • Cardiology and Cardiovascular Medicine 23
Replace Marisa Papaluca‐Amati with:
Marisa Papaluca‐Amati Netherlands
Edward Abrahams United States
Gregory McInnes United States
Christina Mitropoulou Greece
Junichi Asano Japan
Jackson Burton United States
Sunayan Bandyopadhyay United States
Xinnan Niu United States
Sharly J. Nass
Sandeep Menon United States
Zhaoling Meng relative to Marisa Papaluca‐Amati Netherlands Marisa Papaluca‐Amati's profile →
Citations per field
00.5×4.2×
Marisa Papaluca‐Amati · 1×
Citations per year

Countries citing papers authored by Zhaoling Meng

Since Specialization
Citations

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

Fields of papers citing papers by Zhaoling Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaoling Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaoling Meng. A scholar is included among the top collaborators of Zhaoling Meng 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 Zhaoling Meng. Zhaoling Meng 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
#WorkIndexed citations
1 0
2 8
3 0
4 2
5 18
6 8
7 4
8 2
9 4
10 27
11 5
12 4
13 6
14 7
15 5
16 13
17 69
18 32
19 7
20 114

About Zhaoling Meng

Zhaoling Meng is a scholar working on Statistics and Probability, Economics and Econometrics and Pharmacology, having authored 21 papers that have together received 356 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (12 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Advanced Causal Inference Techniques (6 papers). The work is most often cited by research in Statistics and Probability (85 citations), Genetics (168 citations) and Health Informatics (4 citations). Zhaoling Meng has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Dmitri V. Zaykin, Margaret G. Ehm, Michael J. Wagner, Chun‐Fang Xu, Debashis Ghosh, Ronglai Shen, Arul M. Chinnaiyan, Robert Kringle, Hui Quan and Telba Irony. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026