Liubin Yang

2.4k total citations
24 papers, 1.4k citations indexed

About

Liubin Yang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Hematology. According to data from OpenAlex, Liubin Yang has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Public Health, Environmental and Occupational Health and 6 papers in Hematology. Recurrent topics in Liubin Yang's work include Ovarian function and disorders (6 papers), Acute Myeloid Leukemia Research (5 papers) and Reproductive Biology and Fertility (5 papers). Liubin Yang is often cited by papers focused on Ovarian function and disorders (6 papers), Acute Myeloid Leukemia Research (5 papers) and Reproductive Biology and Fertility (5 papers). Liubin Yang collaborates with scholars based in United States, China and United Kingdom. Liubin Yang's co-authors include Margaret A. Goodell, Rachel E. Rau, Allison Mayle, Mira Jeong, Blanca Rodríguez, Grant A. Challen, Gretchen J. Darlington, Zheng Xia, Min Luo and Katherine Y. King and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature reviews. Cancer and Blood.

In The Last Decade

Liubin Yang

22 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liubin Yang United States 13 917 513 273 180 163 24 1.4k
Sioḃán Keel United States 18 558 0.6× 596 1.2× 73 0.3× 149 0.8× 358 2.2× 53 1.3k
Christina Halsey United Kingdom 19 599 0.7× 352 0.7× 147 0.5× 176 1.0× 239 1.5× 36 1.3k
Hsiang‐Ying Lee Taiwan 18 728 0.8× 210 0.4× 110 0.4× 143 0.8× 114 0.7× 33 1.1k
Amaia Vilas‐Zornoza Spain 18 957 1.0× 199 0.4× 534 2.0× 108 0.6× 62 0.4× 29 1.3k
Delphine Ndiaye‐Lobry United States 10 852 0.9× 232 0.5× 92 0.3× 219 1.2× 100 0.6× 16 1.2k
Ebrahim Sakhinia Iran 22 681 0.7× 167 0.3× 365 1.3× 184 1.0× 74 0.5× 73 1.3k
Johan Flygare Sweden 22 1.3k 1.4× 284 0.6× 366 1.3× 214 1.2× 231 1.4× 50 1.9k
Donghoon Yoon United States 16 430 0.5× 224 0.4× 391 1.4× 58 0.3× 210 1.3× 52 934
Toshihiko Tanno United States 16 382 0.4× 1.2k 2.3× 141 0.5× 118 0.7× 1.0k 6.3× 26 1.8k
Letizia Longo Italy 15 1.2k 1.3× 793 1.5× 61 0.2× 162 0.9× 62 0.4× 19 1.5k

Countries citing papers authored by Liubin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Liubin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liubin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Liubin Yang. A scholar is included among the top collaborators of Liubin Yang 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 Liubin Yang. Liubin Yang 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
2.
Zhang, Jianya, Jiamin Li, Liubin Yang, et al.. (2025). Electric-stimulated controllable synaptic GaN nanodevice for neuromorphic computing. SHILAP Revista de lepidopterología. 4(4). 100149–100149. 1 indexed citations
3.
Yang, Liubin, et al.. (2025). Deep-UV-photo-excited synaptic Ga2O3 nano-device with low-energy consumption for neuromorphic computing. Journal of Semiconductors. 46(2). 22401–22401. 4 indexed citations
5.
Yang, Liubin, et al.. (2024). Machine learning in time-lapse imaging to differentiate embryos from young vs old mice. Biology of Reproduction. 110(6). 1115–1124. 3 indexed citations
6.
Yang, Liubin, et al.. (2023). Characterization of blueberry exosome-like nanoparticles and miRNAs with potential cross-kingdom human gene targets. Food Science and Human Wellness. 13(2). 869–878. 21 indexed citations
7.
Yang, Liubin, et al.. (2023). FIRST TRIMESTER SUBCHORIONIC HEMATOMA AND EARLY PREGNANCY LOSS IN PATIENTS UNDERGOING FERTILITY TREATMENT. Fertility and Sterility. 120(4). e169–e170. 1 indexed citations
8.
Yang, Liubin, et al.. (2022). ASSOCIATION OF COVID-19 VACCINATION WITH FEMALE OVARIAN RESERVE. Fertility and Sterility. 118(4). e372–e372. 2 indexed citations
9.
Yang, Liubin, Mary Peavey, Neil Chappell, et al.. (2022). Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics. F&S Reports. 3(2). 116–123. 21 indexed citations
10.
Yang, Liubin, et al.. (2021). Fetal programming of polycystic ovary syndrome: Effects of androgen exposure on prenatal ovarian development. The Journal of Steroid Biochemistry and Molecular Biology. 207. 105830–105830. 16 indexed citations
11.
Chappell, Neil, Jaimin S. Shah, Mary Peavey, et al.. (2020). Embryos from polycystic ovary syndrome patients with hyperandrogenemia reach morula stage faster than controls. F&S Reports. 1(2). 125–132. 16 indexed citations
12.
Yang, Liubin, Blanca Rodríguez, Allison Mayle, et al.. (2016). DNMT3A Loss Drives Enhancer Hypomethylation in FLT3-ITD-Associated Leukemias. Cancer Cell. 30(2). 363–365. 62 indexed citations
13.
Luo, Min, Mira Jeong, Deqiang Sun, et al.. (2015). Long Non-Coding RNAs Control Hematopoietic Stem Cell Function. Cell stem cell. 16(4). 426–438. 126 indexed citations
14.
Yang, Liubin, Rachel E. Rau, & Margaret A. Goodell. (2015). DNMT3A in haematological malignancies. Nature reviews. Cancer. 15(3). 152–165. 344 indexed citations
15.
Challen, Grant A., Deqiang Sun, Allison Mayle, et al.. (2014). Dnmt3a and Dnmt3b Have Overlapping and Distinct Functions in Hematopoietic Stem Cells. Cell stem cell. 15(3). 350–364. 259 indexed citations
16.
Mayle, Allison, Liubin Yang, Blanca Rodríguez, et al.. (2014). Dnmt3a loss predisposes murine hematopoietic stem cells to malignant transformation. Blood. 125(4). 629–638. 175 indexed citations
17.
Yang, Liubin, Blanca Rodríguez, Min Luo, et al.. (2013). Dnmt3a-Deletion Accelerates FLT3-ITD Malignancies In Mice By Hypomethylation Of Enhancer Sites and Activating Stem Cell Programs; Implications For Therapy. Blood. 122(21). 595–595. 1 indexed citations
18.
Rossi, Lara, Kuan‐Yin Lin, Nathan C. Boles, et al.. (2012). Less Is More: Unveiling the Functional Core of Hematopoietic Stem Cells through Knockout Mice. Cell stem cell. 11(3). 302–317. 148 indexed citations
19.
Guller, Seth, Catalin S. Buhimschi, S.‐T. Joseph Huang, et al.. (2008). Placental expression of ceruloplasmin in pregnancies complicated by severe preeclampsia. Laboratory Investigation. 88(10). 1057–1067. 49 indexed citations
20.
Lee, Men‐Jean, Zhen Wang, Herman Yee, et al.. (2005). Expression and Regulation of Glucocorticoid Receptor in Human Placental Villous Fibroblasts. Endocrinology. 146(11). 4619–4626. 37 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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