Meng Wu

1.4k total citations · 1 hit paper
26 papers, 666 citations indexed

About

Meng Wu is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Meng Wu has authored 26 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Plant Science and 5 papers in Genetics. Recurrent topics in Meng Wu's work include Plant and animal studies (4 papers), Chromosomal and Genetic Variations (4 papers) and Primary Care and Health Outcomes (3 papers). Meng Wu is often cited by papers focused on Plant and animal studies (4 papers), Chromosomal and Genetic Variations (4 papers) and Primary Care and Health Outcomes (3 papers). Meng Wu collaborates with scholars based in United States, China and United Kingdom. Meng Wu's co-authors include Leonie C. Moyle, Jamie L. Kostyun, Eli S. Rosenberg, Carol-Ann Swain, Shu-Yin John Leung, Jennifer L. Pierce, James M. Tesoriero, David R. Holtgräve, Charles J. Gonzalez and Deepa T. Rajulu and has published in prestigious journals such as Molecular Ecology, Molecular Biology and Evolution and Frontiers in Plant Science.

In The Last Decade

Meng Wu

25 papers receiving 656 citations

Hit Papers

COVID-19 Outcomes Among Persons Living With or Without Di... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Wu United States 11 248 238 211 72 68 26 666
Yuange Duan China 14 868 3.5× 92 0.4× 587 2.8× 68 0.9× 25 0.4× 52 1.6k
Sean L. Wu United States 12 196 0.8× 43 0.2× 188 0.9× 53 0.7× 5 0.1× 24 666
Louise Ormond United States 10 541 2.2× 44 0.2× 200 0.9× 135 1.9× 7 0.1× 12 776
Kristopher M. Curtis United States 8 731 2.9× 170 0.7× 114 0.5× 131 1.8× 4 0.1× 11 1.1k
Hilda Montero Mexico 12 222 0.9× 27 0.1× 148 0.7× 48 0.7× 13 0.2× 31 452
Jae Sun Park South Korea 13 289 1.2× 30 0.1× 106 0.5× 24 0.3× 9 0.1× 30 650
Chunyan Li China 10 81 0.3× 54 0.2× 101 0.5× 31 0.4× 343 5.0× 26 705
Benjamin Lefèvre France 14 87 0.4× 13 0.1× 101 0.5× 35 0.5× 33 0.5× 47 603
Prabagaran Esakky United States 12 347 1.4× 16 0.1× 114 0.5× 25 0.3× 46 0.7× 18 729
Stephen J. Brown United States 15 254 1.0× 20 0.1× 91 0.4× 35 0.5× 3 0.0× 21 641

Countries citing papers authored by Meng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Meng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Wu. A scholar is included among the top collaborators of Meng Wu 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 Wu. Meng Wu 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.
Li, Xiao‐Ming, Jian Wang, Lei Zhang, et al.. (2025). RNA sequencing and genome-wide association analysis reveal key genes responsible for different feather colors in Youjiang goose. Poultry Science. 104(8). 105305–105305.
2.
Sun, Hui, et al.. (2024). Development and validation of the Out-of-Hospital Adherence Questionnaire for Stroke Patients (OHAQ-SP). BMC Neurology. 24(1). 460–460. 1 indexed citations
3.
Wu, Meng, Ying Shao, Li Li, et al.. (2024). Nonclinical evaluation of HBG1/2 and BCL11A as genome-editing targets for the treatment of β-hemoglobinopathies. Blood Advances. 9(4). 808–813. 3 indexed citations
4.
Manganello, Jennifer A., et al.. (2023). Organizational Health Literacy and Health Among New York State Medicaid Members. HLRP Health Literacy Research and Practice. 7(3). e154–e164. 2 indexed citations
6.
Weiss, Linda, et al.. (2022). Transforming Primary Care in New York Through Patient-Centered Medical Homes: Findings From Qualitative Research. Journal of Primary Care & Community Health. 13. 4267732748–4267732748. 2 indexed citations
7.
Wu, Meng, David C. Haak, Gregory J. Anderson, et al.. (2021). Inferring the Genetic Basis of Sex Determination from the Genome of a Dioecious Nightshade. Molecular Biology and Evolution. 38(7). 2946–2957. 4 indexed citations
8.
Gao, Ying, et al.. (2021). Issues related to the health status, work pressure and occupational environments of medical staff at level A tertiary public hospitals in Shanghai. Annals of Palliative Medicine. 10(7). 8190–8202. 8 indexed citations
9.
Moyle, Leonie C., et al.. (2021). Reproductive Proteins Evolve Faster Than Non-reproductive Proteins Among Solanum Species. Frontiers in Plant Science. 12. 635990–635990. 10 indexed citations
10.
Zabierowski, Susan E., Meng Wu, Costantino Casale, et al.. (2020). Establishing cGMP manufacturing of CRISPR/Cas9-edited human CAR T cells. Cytotherapy. 22(5). S138–S139. 2 indexed citations
11.
Reeves, Sarah L., Brian Madden, Meng Wu, et al.. (2020). Performance of ICD‐10‐CM diagnosis codes for identifying children with Sickle Cell Anemia. Health Services Research. 55(2). 310–317. 16 indexed citations
12.
Wu, Meng, Jamie L. Kostyun, & Leonie C. Moyle. (2019). Genome Sequence of Jaltomata Addresses Rapid Reproductive Trait Evolution and Enhances Comparative Genomics in the Hyper-Diverse Solanaceae. Genome Biology and Evolution. 11(2). 335–349. 16 indexed citations
13.
Gao, Ying, Ning Zhu, Xiaofang Zhu, et al.. (2019). Diversity and redundancy of the ripening regulatory networks revealed by the fruitENCODE and the new CRISPR/Cas9 CNR and NOR mutants. Horticulture Research. 6(1). 39–39. 132 indexed citations
14.
Wu, Meng & Recai Yucel. (2019). Model-based inference on average causal effect in observational clustered data. Health Services and Outcomes Research Methodology. 19(1). 36–60. 1 indexed citations
15.
Wu, Meng, Jamie L. Kostyun, Matthew W. Hahn, & Leonie C. Moyle. (2018). Dissecting the basis of novel trait evolution in a radiation with widespread phylogenetic discordance. Molecular Ecology. 27(16). 3301–3316. 54 indexed citations
16.
Wu, Meng, et al.. (2018). Birth Certificate Validity and the Impact on Primary Cesarean Section Quality Measure in New York State. Journal of Community Health. 44(2). 222–229. 10 indexed citations
17.
Wu, Meng, et al.. (2018). Identifying Children with Special Health Care Needs Using Medicaid Data in New York State Medicaid Managed Care. Health Services Research. 53(6). 4157–4177. 2 indexed citations
18.
Wu, Meng, et al.. (2017). A wild origin of the loss‐of‐function lycopene beta cyclase (CYC‐b) allele in cultivated, red‐fleshed papaya (Carica papaya). American Journal of Botany. 104(1). 116–126. 6 indexed citations
19.
Wu, Meng & Richard C. Moore. (2015). The Evolutionary Tempo of Sex Chromosome Degradation in Carica papaya. Journal of Molecular Evolution. 80(5-6). 265–277. 18 indexed citations
20.
Wu, Meng, et al.. (2015). A polymorphic pseudoautosomal boundary in the Carica papaya sex chromosomes. Molecular Genetics and Genomics. 290(4). 1511–1522. 11 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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