Jing‐Dong J. Han

14.2k total citations · 2 hit papers
140 papers, 7.8k citations indexed

About

Jing‐Dong J. Han is a scholar working on Molecular Biology, Aging and Physiology. According to data from OpenAlex, Jing‐Dong J. Han has authored 140 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Molecular Biology, 27 papers in Aging and 19 papers in Physiology. Recurrent topics in Jing‐Dong J. Han's work include Genetics, Aging, and Longevity in Model Organisms (27 papers), Single-cell and spatial transcriptomics (21 papers) and Epigenetics and DNA Methylation (21 papers). Jing‐Dong J. Han is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (27 papers), Single-cell and spatial transcriptomics (21 papers) and Epigenetics and DNA Methylation (21 papers). Jing‐Dong J. Han collaborates with scholars based in China, United States and Australia. Jing‐Dong J. Han's co-authors include Nicolas Bertin, Michael E. Cusick, Denis Dupuy, Marc Vidal, Ye‐Guang Chen, Tong Hao, Albertha J.M. Walhout, Lan V. Zhang, Frederick P. Roth and Debra S. Goldberg and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jing‐Dong J. Han

139 papers receiving 7.7k 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.

Evidence for dynamically organized modularity in the yeast protein–protein interaction network

2004 1.3k citations Jing‐Dong J. Han, Nicolas Bertin et al. Nature profile →
Single-cell senescence identification reveals senescence heterogeneity, trajectory, and modulators

2024 59 citations Wanyu Tao, Jing‐Dong J. Han et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jing‐Dong J. Han China	45	5.5k	768	762	688	582	140	7.8k
Christine Brun France	31	4.8k 0.9×	846 1.1×	718 0.9×	231 0.3×	567 1.0×	83	6.7k
Martin Kampmann United States	43	6.6k 1.2×	1.0k 1.3×	601 0.8×	409 0.6×	839 1.4×	96	8.7k
Tao Xu United States	45	4.8k 0.9×	380 0.5×	456 0.6×	216 0.3×	422 0.7×	112	6.9k
Ernest Fraenkel United States	41	7.6k 1.4×	481 0.6×	573 0.8×	199 0.3×	1.2k 2.1×	92	9.7k
Frank C. P. Holstege Netherlands	54	8.9k 1.6×	343 0.4×	835 1.1×	253 0.4×	1.1k 1.8×	156	11.1k
Albertha J.M. Walhout United States	51	7.5k 1.4×	535 0.7×	614 0.8×	2.7k 3.9×	904 1.6×	134	9.6k
Max W. Chang United States	23	6.4k 1.2×	1.5k 2.0×	1.7k 2.2×	274 0.4×	891 1.5×	40	11.8k
Benjamin P. Tu United States	42	7.2k 1.3×	866 1.1×	1.8k 2.4×	296 0.4×	533 0.9×	89	9.5k
Meng‐Qiu Dong China	52	7.3k 1.3×	822 1.1×	467 0.6×	766 1.1×	545 0.9×	186	9.8k
Sean D. Mooney United States	39	3.7k 0.7×	685 0.9×	363 0.5×	286 0.4×	1.3k 2.2×	140	6.0k

Countries citing papers authored by Jing‐Dong J. Han

Since Specialization

Citations

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

Fields of papers citing papers by Jing‐Dong J. Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing‐Dong J. Han. 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 Jing‐Dong J. Han. The network helps show where Jing‐Dong J. Han may publish in the future.

Co-authorship network of co-authors of Jing‐Dong J. Han

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

All Works

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20 of 20 papers shown

Liu, Shicheng, Chunyu Zhou, Mengyao Liu, et al.. (2025). Conversion of placental hemogenic endothelial cells to hematopoietic stem and progenitor cells. Cell Discovery. 11(1). 9–9.

Li, Zida & Jing‐Dong J. Han. (2024). Neural stem cells in aging. SHILAP Revista de lepidopterología. 9. 9–14. 1 indexed citations

Yang, Guan, Qi He, Wanyu Tao, et al.. (2024). Identification of the metaphyseal skeletal stem cell building trabecular bone. Science Advances. 10(8). eadl2238–eadl2238. 15 indexed citations

Zhang, Shiqiang, et al.. (2024). Application of AI in biological age prediction. Current Opinion in Structural Biology. 85. 102777–102777. 10 indexed citations

Wang, Yiyang, et al.. (2023). Clinical application of facial aging clocks. The Lancet Regional Health - Western Pacific. 37. 100858–100858. 5 indexed citations

Zhu, Hongming, Jiawei Chen, Lei Gao, et al.. (2023). Human PBMC scRNA-seq–based aging clocks reveal ribosome to inflammation balance as a single-cell aging hallmark and super longevity. Science Advances. 9(26). eabq7599–eabq7599. 66 indexed citations

Wang, Xueqing, Quanlong Jiang, Yuanyuan Song, et al.. (2022). Ageing induces tissue‐specific transcriptomic changes in Caenorhabditis elegans. The EMBO Journal. 41(8). e109633–e109633. 38 indexed citations

Li, Jia, Lei Sun, Xue‐Liang Peng, et al.. (2021). Integrative genomic analysis of early neurogenesis reveals a temporal genetic program for differentiation and specification of preplate and Cajal-Retzius neurons. PLoS Genetics. 17(3). e1009355–e1009355. 10 indexed citations

Han, Mengmeng, Jialun Li, Yaqiang Cao, et al.. (2020). A role for LSH in facilitating DNA methylation by DNMT1 through enhancing UHRF1 chromatin association. Nucleic Acids Research. 48(21). 12116–12134. 47 indexed citations

10.

Cao, Yaqiang, Zhaoxiong Chen, Xingwei Chen, et al.. (2019). Accurate loop calling for 3D genomic data with cLoops. Bioinformatics. 36(3). 666–675. 44 indexed citations

11.

Zhang, Xiaolong, Quanlong Jiang, Xingli Xu, et al.. (2018). Immune mechanisms induced by an HSV-1 mutant strain: Discrepancy analysis of the immune system gene profile in comparison with a wild-type strain. Vaccine. 36(18). 2394–2402. 3 indexed citations

12.

Huang, Fei, Yuzhen Li, Linlin Xu, et al.. (2018). HER2/EGFR–AKT Signaling Switches TGFβ from Inhibiting Cell Proliferation to Promoting Cell Migration in Breast Cancer. Cancer Research. 78(21). 6073–6085. 66 indexed citations

13.

Shi, Dawei, Shengbao Suo, Xingwei Chen, et al.. (2018). Accurate Drug Repositioning through Non-tissue-Specific Core Signatures from Cancer Transcriptomes. Cell Reports. 25(2). 523–535.e5. 21 indexed citations

14.

Sun, Na, Xiaoming Yu, Denghui Liu, et al.. (2017). Inference of differentiation time for single cell transcriptomes using cell population reference data. Nature Communications. 8(1). 25 indexed citations

15.

Karamariti, Eirini, Andriana Margariti, Bernhard Winkler, et al.. (2013). Smooth Muscle Cells Differentiated From Reprogrammed Embryonic Lung Fibroblasts Through DKK3 Signaling Are Potent for Tissue Engineering of Vascular Grafts. Circulation Research. 112(11). 1433–1443. 75 indexed citations

16.

Xian, Bo, Jie Shen, Weiyang Chen, et al.. (2013). WormFarm: a quantitative control and measurement device toward automated Caenorhabditis elegans aging analysis. Aging Cell. 12(3). 398–409. 78 indexed citations

17.

Han, Yixing, Dali Han, Yan Zheng, et al.. (2012). Stress‐associated H3K4 methylation accumulates during postnatal development and aging of rhesus macaque brain. Aging Cell. 11(6). 1055–1064. 41 indexed citations

18.

Hou, Lei, Jialiang Huang, Christopher D. Green, et al.. (2012). Systems Biology in Aging: Linking the Old and the Young. Current Genomics. 13(7). 558–565. 17 indexed citations

19.

Mao, Ting, Mengle Shao, Yifu Qiu, et al.. (2011). PKA phosphorylation couples hepatic inositol-requiring enzyme 1α to glucagon signaling in glucose metabolism. Proceedings of the National Academy of Sciences. 108(38). 15852–15857. 78 indexed citations

20.

Han, Jing‐Dong J., Nicolas Bertin, Tong Hao, et al.. (2004). Evidence for dynamically organized modularity in the yeast protein–protein interaction network. Nature. 430(6995). 88–93. 1301 indexed citations breakdown →

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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