Michael Zheng

1.2k total citations · 1 hit paper
9 papers, 761 citations indexed

About

Michael Zheng is a scholar working on Molecular Biology, Plant Science and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Michael Zheng has authored 9 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Plant Science and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Michael Zheng's work include CRISPR and Genetic Engineering (3 papers), RNA Research and Splicing (3 papers) and Pluripotent Stem Cells Research (2 papers). Michael Zheng is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), RNA Research and Splicing (3 papers) and Pluripotent Stem Cells Research (2 papers). Michael Zheng collaborates with scholars based in United States, China and Taiwan. Michael Zheng's co-authors include Jiandong Liu, Yang Zhou, Li Wang, Ziqing Liu, Qian Li, Olivia Chen, Haley Ruth Vaseghi, Joseph B. Wall, Chaoying Yin and Hong Ma and has published in prestigious journals such as Nature, Development and Scientific Reports.

In The Last Decade

Michael Zheng

9 papers receiving 757 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Systematic comparison of 2A peptides for cloning multi-genes in a polycistronic vector

2017 467 citations Ziqing Liu, Olivia Chen et al. Scientific Reports profile →

Peers

Michael Zheng

MB

ONCOL

SURGE

GENET

IMMUN

Joseph B. Wall United States

Haley Ruth Vaseghi United States

Olivia Chen United States

Dilani G. Gamage United States

Allison Lange United States

Anna Git United Kingdom

Benjamin Strobel Germany

Eli Berdougo United States

Namritha Ravinder United States

Suhani Vora United States

Joseph B. Wall United States

Michael Zheng

480 ×0.8

MB

87 ×0.9

ONCOL

61 ×0.7

SURGE

84 ×1.0

GENET

74 ×0.9

IMMUN

Citations per year, relative to Michael Zheng Michael Zheng (= 1×) peers Joseph B. Wall

Countries citing papers authored by Michael Zheng

Since Specialization

Citations

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

Fields of papers citing papers by Michael Zheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Zheng

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Zheng, Michael, et al.. (2025). Alternative splicing in autism spectrum disorder: Recent insights from mechanisms to therapy. Asian Journal of Psychiatry. 108. 104501–104501. 2 indexed citations

2.

Xu, Zhe, et al.. (2023). Multi-level regulation of even-skipped stripes by the ubiquitous factor Zelda. Development. 150(23). 1 indexed citations

3.

Hughes, Francis M., et al.. (2021). Specialized proresolution mediators in the bladder: annexin-A1 normalizes inflammation and bladder dysfunction during bladder outlet obstruction. American Journal of Physiology-Renal Physiology. 321(4). F443–F454. 7 indexed citations

4.

Zheng, Michael, et al.. (2021). Suboptimal Intermediates Underlie Evolution of the Bicoid Homeodomain. Molecular Biology and Evolution. 38(6). 2179–2190. 5 indexed citations

5.

Liu, Ziqing, Li Wang, Qian Li, et al.. (2020). Systematic comparison of 2A peptides for cloning multi-genes in a polycistronic vector. UNC Libraries. 5 indexed citations

6.

Liu, Ziqing, Olivia Chen, Joseph B. Wall, et al.. (2017). Systematic comparison of 2A peptides for cloning multi-genes in a polycistronic vector. Scientific Reports. 7(1). 2193–2193. 467 indexed citations breakdown →

7.

Liu, Ziqing, Li Wang, Joshua D. Welch, et al.. (2017). Single-cell transcriptomics reconstructs fate conversion from fibroblast to cardiomyocyte. Nature. 551(7678). 100–104. 163 indexed citations

8.

Liu, Ziqing, Olivia Chen, Michael Zheng, et al.. (2016). Re-patterning of H3K27me3, H3K4me3 and DNA methylation during fibroblast conversion into induced cardiomyocytes. Stem Cell Research. 16(2). 507–518. 96 indexed citations

9.

Liu, Ting, et al.. (2012). Regulation of S100A4 expression via the JAK2–STAT3 pathway in rhomboid-phenotype pulmonary arterial smooth muscle cells exposure to hypoxia. The International Journal of Biochemistry & Cell Biology. 44(8). 1337–1345. 15 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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