Yeming Wang

2.1k total citations
24 papers, 691 citations indexed

About

Yeming Wang is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Yeming Wang has authored 24 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Yeming Wang's work include RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (5 papers) and RNA Interference and Gene Delivery (4 papers). Yeming Wang is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (5 papers) and RNA Interference and Gene Delivery (4 papers). Yeming Wang collaborates with scholars based in China, United States and United Kingdom. Yeming Wang's co-authors include Traci M. Tanaka Hall, Y. Zuo, Thomas A. Steitz, Hwai‐Chen Guo, Marvin Wickens, Laura Opperman, Phillip D. Zamore, Ryuya Fukunaga, Elif Sarinay Cenik and Gang Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Yeming Wang

22 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeming Wang China 15 564 126 61 59 56 24 691
Rachel M. Mitton-Fry United States 9 783 1.4× 136 1.1× 90 1.5× 50 0.8× 71 1.3× 12 901
Sandro F. Ataide Australia 17 912 1.6× 212 1.7× 55 0.9× 31 0.5× 104 1.9× 31 1.0k
Magali Frugier France 25 1.2k 2.2× 86 0.7× 47 0.8× 38 0.6× 52 0.9× 49 1.3k
Isabelle Hatin France 19 1.1k 2.0× 110 0.9× 35 0.6× 39 0.7× 35 0.6× 40 1.4k
Constance L. Fisher United States 8 433 0.8× 150 1.2× 29 0.5× 60 1.0× 44 0.8× 12 598
Jason K. K. Low Australia 22 848 1.5× 143 1.1× 37 0.6× 50 0.8× 24 0.4× 45 1.1k
Gergely Róna Hungary 16 565 1.0× 97 0.8× 30 0.5× 34 0.6× 44 0.8× 30 729
Anthony P. Schuller United States 11 1.0k 1.8× 60 0.5× 42 0.7× 50 0.8× 50 0.9× 14 1.2k
Gang Cai China 19 885 1.6× 74 0.6× 37 0.6× 81 1.4× 23 0.4× 29 1.0k
Rituparna Mukhopadhyay United States 14 878 1.6× 298 2.4× 65 1.1× 57 1.0× 33 0.6× 27 1.1k

Countries citing papers authored by Yeming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yeming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yeming Wang. A scholar is included among the top collaborators of Yeming Wang 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 Yeming Wang. Yeming Wang 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.
2.
Xu, Fengrong, Guohui Fan, Jing Han, et al.. (2025). Impact of prophylactic anticoagulation on hospitalized COVID-19 patients aged over 80 years: a multicenter prospective cohort study. European journal of medical research. 30(1). 800–800.
3.
Wang, Yeming, Li Guo, Dan Cui, et al.. (2024). Immune Responses in Discharged COVID-19 Patients With and Without Long COVID Symptoms. Open Forum Infectious Diseases. 11(4). ofae137–ofae137. 2 indexed citations
4.
Fan, Guohui, Dingyi Wang, Feiya Xu, et al.. (2024). Prolonged lymphopenia and prognoses among inpatients with different respiratory virus infections: A retrospective cohort study. Heliyon. 10(11). e31733–e31733. 3 indexed citations
5.
6.
Zhong, Jiaxin, Li Guo, Yeming Wang, et al.. (2024). Gut Microbiota Improves Prognostic Prediction in Critically Ill COVID-19 Patients Alongside Immunological and Hematological Indicators. Research. 7. 389–389. 4 indexed citations
7.
Yan, Yan, Chan Li, Beibei Ni, et al.. (2023). A preparation method for mRNA-LNPs with improved properties. Journal of Controlled Release. 364. 632–643. 35 indexed citations
8.
Zou, Xiaohui, Yeming Wang, Li Guo, et al.. (2022). Characterization of two SARS-CoV-2 subgenomic RNA dynamics in severe COVID-19 patients. Virologica Sinica. 37(1). 30–37. 3 indexed citations
9.
Xu, Xin, Wenli Chen, Wenjun Zhu, et al.. (2021). Adeno‐associated virus (AAV)-based gene therapy for glioblastoma. Cancer Cell International. 21(1). 76–76. 28 indexed citations
10.
Wang, Yeming, Dong Liu, Lingling Zhang, et al.. (2021). Long non-coding RNA COL4A2-AS1 facilitates cell proliferation and glycolysis of colorectal cancer cells via miR-20b-5p/hypoxia inducible factor 1 alpha subunit axis. Bioengineered. 12(1). 6251–6263. 18 indexed citations
11.
Liu, Shuai, Hui Li, Yeming Wang, et al.. (2020). High Expression of IL-36γ in Influenza Patients Regulates Interferon Signaling Pathway and Causes Programmed Cell Death During Influenza Virus Infection. Frontiers in Immunology. 11. 552606–552606. 14 indexed citations
12.
Gao, Zhaojia, et al.. (2019). TRIM59 as a novel molecular biomarker to predict the prognosis of patients with NSCLC. Oncology Letters. 19(2). 1400–1408. 11 indexed citations
13.
Zuo, Y., Yeming Wang, & Thomas A. Steitz. (2013). The Mechanism of E. coli RNA Polymerase Regulation by ppGpp Is Suggested by the Structure of their Complex. Molecular Cell. 50(3). 430–436. 141 indexed citations
14.
Wang, Yeming, et al.. (2011). Stacking interactions in PUF–RNA complexes. RNA. 17(4). 718–727. 45 indexed citations
15.
Qiu, Chen, Aaron M. Kershner, Yeming Wang, et al.. (2011). Divergence of Pumilio/fem-3 mRNA Binding Factor (PUF) Protein Specificity through Variations in an RNA-binding Pocket. Journal of Biological Chemistry. 287(9). 6949–6957. 33 indexed citations
16.
Cenik, Elif Sarinay, Ryuya Fukunaga, Gang Lu, et al.. (2011). Phosphate and R2D2 Restrict the Substrate Specificity of Dicer-2, an ATP-Driven Ribonuclease. Molecular Cell. 42(2). 172–184. 110 indexed citations
17.
Wang, Yeming & Hwai‐Chen Guo. (2010). Crystallographic Snapshot of Glycosylasparaginase Precursor Poised for Autoprocessing. Journal of Molecular Biology. 403(1). 120–130. 22 indexed citations
18.
Wang, Yeming & Hwai‐Chen Guo. (2006). Crystallographic Snapshot of a Productive Glycosylasparaginase–Substrate Complex. Journal of Molecular Biology. 366(1). 82–92. 15 indexed citations
19.
Meng, Jianmin, Didem Vardar‐Ulu, Yeming Wang, et al.. (2005). High-Resolution Crystal Structures of Villin Headpiece and Mutants with Reduced F-Actin Binding Activity,. Biochemistry. 44(36). 11963–11973. 49 indexed citations
20.
Wang, Yeming & Hwai‐Chen Guo. (2003). Two-step Dimerization for Autoproteolysis to Activate Glycosylasparaginase. Journal of Biological Chemistry. 278(5). 3210–3219. 22 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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