Yaobin Jing

1.3k total citations
10 papers, 518 citations indexed

About

Yaobin Jing is a scholar working on Molecular Biology, Physiology and Geriatrics and Gerontology. According to data from OpenAlex, Yaobin Jing has authored 10 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Physiology and 2 papers in Geriatrics and Gerontology. Recurrent topics in Yaobin Jing's work include RNA regulation and disease (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and RNA modifications and cancer (2 papers). Yaobin Jing is often cited by papers focused on RNA regulation and disease (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and RNA modifications and cancer (2 papers). Yaobin Jing collaborates with scholars based in China, India and United States. Yaobin Jing's co-authors include Jing Qu, Guang‐Hui Liu, Weiqi Zhang, Si Wang, Moshi Song, Zunpeng Liu, Juan Carlos Izpisúa Belmonte, Concepción Rodrı́guez Esteban, Shuai Ma and Yandong Zheng and has published in prestigious journals such as Nature, Nucleic Acids Research and Cell stem cell.

In The Last Decade

Yaobin Jing

10 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaobin Jing China	7	309	103	73	70	62	10	518
Zhiran Zou China	5	268 0.9×	120 1.2×	13 0.2×	92 1.3×	61 1.0×	5	518
Faiza Kalfalah Germany	10	272 0.9×	153 1.5×	21 0.3×	46 0.7×	206 3.3×	11	584
Lucia Terlecki‐Ζaniewicz Austria	8	262 0.8×	131 1.3×	16 0.2×	66 0.9×	101 1.6×	11	482
Jae-Bong Park South Korea	13	399 1.3×	82 0.8×	30 0.4×	68 1.0×	16 0.3×	24	623
Barbara Mlody Germany	10	539 1.7×	72 0.7×	9 0.1×	31 0.4×	41 0.7×	17	696
Prerana Wagle Germany	12	234 0.8×	71 0.7×	4 0.1×	104 1.5×	24 0.4×	17	479
Teresa Decklever United States	6	163 0.5×	201 2.0×	10 0.1×	65 0.9×	8 0.1×	7	461
Julia Peloggia United States	5	177 0.6×	77 0.7×	10 0.1×	19 0.3×	12 0.2×	8	305
Ingo Lämmermann Austria	6	161 0.5×	113 1.1×	4 0.1×	57 0.8×	84 1.4×	11	325
Ivan Khvorostov United States	6	762 2.5×	189 1.8×	11 0.2×	21 0.3×	6 0.1×	13	899

Countries citing papers authored by Yaobin Jing

Since Specialization

Citations

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

Fields of papers citing papers by Yaobin Jing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaobin Jing

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

All Works

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10 of 10 papers shown

1.

Jing, Yaobin, Jie Ren, Jing Qu, & Guang‐Hui Liu. (2025). Gene therapy strategies for aging intervention. PubMed. 4(4). 100254–100254. 1 indexed citations

2.

Li, Hongyu, Min Wang, Xiaoyu Jiang, et al.. (2024). CRISPR screening uncovers nucleolar RPL22 as a heterochromatin destabilizer and senescence driver. Nucleic Acids Research. 52(19). 11481–11499. 5 indexed citations

3.

Hu, Qinchao, Bin Zhang, Yaobin Jing, et al.. (2024). Single-nucleus transcriptomics uncovers a geroprotective role of YAP in primate gingival aging. Protein & Cell. 15(8). 612–632. 10 indexed citations

4.

Jiang, Xiaoyu, Yaobin Jing, Kaowen Yan, et al.. (2024). CRISPR-based screening pinpoints H2AZ1 as a driver of senescence in human mesenchymal stem cells. Protein & Cell. 16(4). 293–299. 5 indexed citations

5.

Ye, Yanxia, Kuan Yang, Haisong Liu, et al.. (2023). SIRT2 counteracts primate cardiac aging via deacetylation of STAT3 that silences CDKN2B. Nature Aging. 3(10). 1269–1287. 42 indexed citations

6.

Jing, Yaobin, Xiaoyu Jiang, Qianzhao Ji, et al.. (2023). Genome-wide CRISPR activation screening in senescent cells reveals SOX5 as a driver and therapeutic target of rejuvenation. Cell stem cell. 30(11). 1452–1471.e10. 35 indexed citations

7.

Zhang, Yiyuan, Yandong Zheng, Si Wang, et al.. (2022). Single-nucleus transcriptomics reveals a gatekeeper role for FOXP1 in primate cardiac aging. Protein & Cell. 14(4). 279–293. 25 indexed citations

8.

Zou, Zhiran, Xiao Long, Qian Zhao, et al.. (2020). A Single-Cell Transcriptomic Atlas of Human Skin Aging. Developmental Cell. 56(3). 383–397.e8. 208 indexed citations

9.

Hu, Huifang, Qianzhao Ji, Moshi Song, et al.. (2020). ZKSCAN3 counteracts cellular senescence by stabilizing heterochromatin. Nucleic Acids Research. 48(11). 6001–6018. 65 indexed citations

10.

Zhang, Weiqi, Haifeng Wan, Guihai Feng, et al.. (2018). SIRT6 deficiency results in developmental retardation in cynomolgus monkeys. Nature. 560(7720). 661–665. 122 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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