Yeqi Yao

436 total citations
18 papers, 354 citations indexed

About

Yeqi Yao is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Yeqi Yao has authored 18 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Cell Biology. Recurrent topics in Yeqi Yao's work include ATP Synthase and ATPases Research (13 papers), Mitochondrial Function and Pathology (7 papers) and Biochemical and Molecular Research (5 papers). Yeqi Yao is often cited by papers focused on ATP Synthase and ATPases Research (13 papers), Mitochondrial Function and Pathology (7 papers) and Biochemical and Molecular Research (5 papers). Yeqi Yao collaborates with scholars based in Canada, Japan and Italy. Yeqi Yao's co-authors include Morris F. Manolson, Norbert Kartner, Keying Li, Johan N.M. Heersche, Wei‐Min Chen, Alessandro Datti, Mark E. Adams, Burton B. Yang, Chris Kiani and Reinhart A.F. Reithmeier and has published in prestigious journals such as Journal of Biological Chemistry, International Journal of Molecular Sciences and Gene.

In The Last Decade

Yeqi Yao

18 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeqi Yao Canada 11 295 66 42 35 34 18 354
Manh Tien Tran Japan 10 299 1.0× 56 0.8× 48 1.1× 40 1.1× 118 3.5× 24 357
Alexandra Faustino Portugal 9 164 0.6× 82 1.2× 37 0.9× 16 0.5× 32 0.9× 11 266
Yu‐Chun Hsiao Taiwan 9 241 0.8× 94 1.4× 29 0.7× 60 1.7× 54 1.6× 21 414
Sandrine Palcy Canada 9 312 1.1× 48 0.7× 134 3.2× 13 0.4× 55 1.6× 10 443
Florian Christoph Sigloch Germany 6 132 0.4× 69 1.0× 40 1.0× 13 0.4× 38 1.1× 8 218
Tuanmin Yang China 9 219 0.7× 79 1.2× 29 0.7× 79 2.3× 133 3.9× 14 346
R J Berg Netherlands 9 238 0.8× 114 1.7× 58 1.4× 20 0.6× 112 3.3× 11 402
Zhanli Tang China 7 132 0.4× 47 0.7× 53 1.3× 57 1.6× 67 2.0× 10 258
Robert J. Nadeau United States 9 372 1.3× 91 1.4× 60 1.4× 35 1.0× 59 1.7× 17 442
Philip Bland United Kingdom 6 112 0.4× 34 0.5× 55 1.3× 16 0.5× 41 1.2× 8 210

Countries citing papers authored by Yeqi Yao

Since Specialization
Citations

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

Fields of papers citing papers by Yeqi Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeqi Yao

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

All Works

18 of 18 papers shown
1.
Yao, Yeqi, et al.. (2024). The Human Mutation K237_V238del in a Putative Lipid Binding Motif within the V-ATPase a2 Isoform Suggests a Molecular Mechanism Underlying Cutis Laxa. International Journal of Molecular Sciences. 25(4). 2170–2170. 1 indexed citations
2.
Yao, Yeqi, et al.. (2023). Characterization of a PIP Binding Site in the N-Terminal Domain of V-ATPase a4 and Its Role in Plasma Membrane Association. International Journal of Molecular Sciences. 24(5). 4867–4867. 2 indexed citations
3.
Oot, Rebecca A., Yeqi Yao, Morris F. Manolson, & Stephan Wilkens. (2021). Purification of active human vacuolar H+-ATPase in native lipid-containing nanodiscs. Journal of Biological Chemistry. 297(2). 100964–100964. 6 indexed citations
4.
Zirngibl, Ralph, Andrew Wang, Yeqi Yao, et al.. (2019). Novel c.G630A TCIRG1 mutation causes aberrant splicing resulting in an unusually mild form of autosomal recessive osteopetrosis. Journal of Cellular Biochemistry. 120(10). 17180–17193. 11 indexed citations
5.
Esmail, Sally, et al.. (2018). Molecular mechanisms of cutis laxa– and distal renal tubular acidosis–causing mutations in V-ATPase a subunits, ATP6V0A2 and ATP6V0A4. Journal of Biological Chemistry. 293(8). 2787–2800. 20 indexed citations
6.
Esmail, Sally, et al.. (2017). N‐linked glycosylation of a subunit isoforms is critical for vertebrate vacuolar H+‐ATPase (V‐ATPase) biosynthesis. Journal of Cellular Biochemistry. 119(1). 861–875. 10 indexed citations
7.
Esmail, Sally, Yeqi Yao, Norbert Kartner, et al.. (2016). N‐Linked Glycosylation Is Required for Vacuolar H+‐ATPase (V‐ATPase) a4 Subunit Stability, Assembly, and Cell Surface Expression. Journal of Cellular Biochemistry. 117(12). 2757–2768. 15 indexed citations
8.
Kartner, Norbert, Yeqi Yao, Ajay Bhargava, & Morris F. Manolson. (2013). Topology, glycosylation and conformational changes in the membrane domain of the vacuolar H+‐ATPase a subunit. Journal of Cellular Biochemistry. 114(7). 1474–1487. 12 indexed citations
9.
Kartner, Norbert, et al.. (2012). Luteolin inhibition of V‐ATPase a3–d2 interaction decreases osteoclast resorptive activity. Journal of Cellular Biochemistry. 114(4). 929–941. 24 indexed citations
10.
Kartner, Norbert, et al.. (2010). Inhibition of Osteoclast Bone Resorption by Disrupting Vacuolar H+-ATPase a3-B2 Subunit Interaction. Journal of Biological Chemistry. 285(48). 37476–37490. 53 indexed citations
11.
Kartner, Norbert, et al.. (2008). The V-ATPase a3 subunit: Potential therapeutic target for osteoporosis. Bone. 43. S98–S98. 1 indexed citations
12.
Yao, Yeqi, et al.. (2006). Effects of Human a3 and a4 Mutations That Result in Osteopetrosis and Distal Renal Tubular Acidosis on Yeast V-ATPase Expression and Activity. Journal of Biological Chemistry. 281(36). 26102–26111. 26 indexed citations
13.
Manolson, Morris F., et al.. (2003). The a3 Isoform of the 100-kDa V-ATPase Subunit Is Highly but Differentially Expressed in Large (≥10 Nuclei) and Small (≤5 Nuclei) Osteoclasts. Journal of Biological Chemistry. 278(49). 49271–49278. 84 indexed citations
14.
Chen, Liwen, Yaojiong Wu, Vivian Lee, et al.. (2002). The Folded Modules of Aggrecan G3 Domain Exert Two Separable Functions in Glycosaminoglycan Modification and Product Secretion. Journal of Biological Chemistry. 277(4). 2657–2665. 25 indexed citations
15.
Cao, Liu, Yeqi Yao, Vivian S. Lee, et al.. (2000). Epidermal growth factor induces cell cycle arrest and apoptosis of squamous carcinoma cells through reduction of cell adhesion. Journal of Cellular Biochemistry. 77(4). 569–583. 39 indexed citations
16.
Nishi, Yuichi, Kazuo Yamamoto, Yeqi Yao, et al.. (1997). Isolation and characterization of cDNA encoding mouse RNA polymerase II subunit RPB14. Gene. 187(2). 165–170. 5 indexed citations
17.
Yao, Yeqi, Kazuo Yamamoto, Yuichi Nishi, Yasuhisa Nogi, & Masami Muramatsu. (1996). Mouse RNA Polymerase I 16-kDa Subunit Able to Associate with 40-kDa Subunit Is a Homolog of Yeast AC19 Subunit of RNA Polymerases I and III. Journal of Biological Chemistry. 271(51). 32881–32885. 19 indexed citations
18.
Yao, Yeqi, Yoichi Matsubara, & Kuniaki Narisawa. (1994). Rapid detection of phenylketonuria mutations by non‐radioactive single‐strand conformation polymorphism analysis. Pediatrics International. 36(3). 231–235. 1 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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