Ding Xue

7.1k total citations
91 papers, 5.7k citations indexed

About

Ding Xue is a scholar working on Molecular Biology, Aging and Immunology. According to data from OpenAlex, Ding Xue has authored 91 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 41 papers in Aging and 15 papers in Immunology. Recurrent topics in Ding Xue's work include Genetics, Aging, and Longevity in Model Organisms (41 papers), Mitochondrial Function and Pathology (27 papers) and Cell death mechanisms and regulation (18 papers). Ding Xue is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (41 papers), Mitochondrial Function and Pathology (27 papers) and Cell death mechanisms and regulation (18 papers). Ding Xue collaborates with scholars based in United States, China and Japan. Ding Xue's co-authors include H. Robert Horvitz, Bengt Fadeel, Jay Z. Parrish, Shohei Mitani, David G. Breckenridge, Xiaochen Wang, Yigong Shi, Martin Chalfie, Shai Shaham and Jijie Chai and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ding Xue

89 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ding Xue United States 40 3.9k 1.2k 1.0k 718 571 91 5.7k
Michael Krause United States 53 8.1k 2.1× 2.5k 2.1× 1.2k 1.1× 317 0.4× 747 1.3× 129 11.4k
Miyuki Sato Japan 31 2.6k 0.7× 528 0.4× 405 0.4× 973 1.4× 1.3k 2.2× 79 4.3k
Manfredo Quadroni Switzerland 41 3.4k 0.9× 210 0.2× 572 0.6× 645 0.9× 696 1.2× 112 5.4k
Yoh Wada Japan 47 5.1k 1.3× 282 0.2× 456 0.4× 1.1k 1.6× 1.7k 3.0× 117 7.0k
Maria Falkenberg Sweden 46 8.3k 2.1× 455 0.4× 282 0.3× 633 0.9× 213 0.4× 91 9.4k
Ken Sato Japan 40 3.2k 0.8× 583 0.5× 207 0.2× 617 0.9× 2.1k 3.6× 125 4.9k
Zhiyong Mao China 29 3.1k 0.8× 377 0.3× 269 0.3× 528 0.7× 400 0.7× 69 4.7k
Andrea Bodnár Hungary 25 4.8k 1.2× 840 0.7× 1.2k 1.1× 424 0.6× 304 0.5× 46 7.9k
Eric A. Ortlund United States 38 3.4k 0.9× 160 0.1× 492 0.5× 413 0.6× 410 0.7× 109 5.6k
Andrea Jurisicova Canada 47 3.3k 0.9× 177 0.1× 1.0k 1.0× 269 0.4× 346 0.6× 87 7.6k

Countries citing papers authored by Ding Xue

Since Specialization
Citations

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

Fields of papers citing papers by Ding Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Ding Xue. A scholar is included among the top collaborators of Ding Xue 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 Ding Xue. Ding Xue 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, Qinqin, et al.. (2024). Spatiotemporal Variation in Wind Erosion in Tarim River Basin from 2010 to 2018. Land. 13(3). 330–330. 4 indexed citations
3.
Zhang, Tianying, Hongying Chen, Jiali Cao, et al.. (2019). Structural and functional analyses of hepatitis B virus X protein BH3-like domain and Bcl-xL interaction. Nature Communications. 10(1). 3192–3192. 37 indexed citations
4.
Zhou, Qinghua, Haimin Li, Akihisa Nakagawa, et al.. (2016). Mitochondrial endonuclease G mediates breakdown of paternal mitochondria upon fertilization. Science. 353(6297). 394–399. 146 indexed citations
5.
Neumann, Brent, Sean Coakley, Rosina Giordano-Santini, et al.. (2015). EFF-1-mediated regenerative axonal fusion requires components of the apoptotic pathway. Nature. 517(7533). 219–222. 103 indexed citations
6.
Yang, Hengwen, Yu-Zen Chen, Xiaohui Wang, et al.. (2015). A lysine-rich motif in the phosphatidylserine receptor PSR-1 mediates recognition and removal of apoptotic cells. Nature Communications. 6(1). 5717–5717. 42 indexed citations
7.
Li, Jing, Fang Wu, Sheng Feng, et al.. (2012). NOK/STYK1 interacts with GSK‐3β and mediates Ser9 phosphorylation through activated Akt. FEBS Letters. 586(21). 3787–3792. 27 indexed citations
8.
Nakagawa, Akihisa, Yong Shi, Eriko Kage‐Nakadai, Shohei Mitani, & Ding Xue. (2010). Caspase-Dependent Conversion of Dicer Ribonuclease into a Death-Promoting Deoxyribonuclease. Science. 328(5976). 327–334. 91 indexed citations
9.
Killian, Darrell J., et al.. (2008). SKR-1, a homolog of Skp1 and a member of the SCFSEL-10 complex, regulates sex-determination and LIN-12/Notch signaling in C. elegans. Developmental Biology. 322(2). 322–331. 19 indexed citations
10.
Yang, Chonglin, et al.. (2006). RNA Aptamers Targeting the Cell Death Inhibitor CED-9 Induce Cell Killing in Caenorhabditis elegans. Journal of Biological Chemistry. 281(14). 9137–9144. 9 indexed citations
11.
Yan, Nieng, Jijie Chai, Eui Seung Lee, et al.. (2005). Structure of the CED-4–CED-9 complex provides insights into programmed cell death in Caenorhabditis elegans. Nature. 437(7060). 831–837. 180 indexed citations
12.
Xue, Ding, et al.. (2004). To Live or Die by the Sword. Developmental Cell. 6(4). 460–461. 30 indexed citations
13.
Wang, Xiaochen, Yi‐Chun Wu, Valerie A. Fadok, et al.. (2003). Cell Corpse Engulfment Mediated by C. elegans Phosphatidylserine Receptor Through CED-5 and CED-12. Science. 302(5650). 1563–1566. 161 indexed citations
14.
Parrish, Jay Z. & Ding Xue. (2003). Functional Genomic Analysis of Apoptotic DNA Degradation in C. elegans. Molecular Cell. 11(4). 987–996. 111 indexed citations
15.
Wang, Xiaochen, Chonglin Yang, Jijie Chai, Yigong Shi, & Ding Xue. (2002). Mechanisms of AIF-Mediated Apoptotic DNA Degradation in Caenorhabditis elegans. Science. 298(5598). 1587–1592. 316 indexed citations
16.
Fadok, Valerie A., Ding Xue, & Peter M. Henson. (2001). If phosphatidylserine is the death knell, a new phosphatidylserine-specific receptor is the bellringer. Cell Death and Differentiation. 8(6). 582–587. 84 indexed citations
17.
Wu, Yi‐Chun, et al.. (2000). Analysis of Programmed Cell Death in the Nematode Caenorhabditis elegans. Methods in enzymology on CD-ROM/Methods in enzymology. 322. 76–88. 11 indexed citations
18.
Xue, Ding & H. Robert Horvitz. (1997). Caenorhabditis elegans CED-9 protein is a bifunctional cell-death inhibitor. Nature. 390(6657). 305–308. 100 indexed citations
19.
Xue, Ding, Shai Shaham, & H. Robert Horvitz. (1996). The Caenorhabditis elegans cell-death protein CED-3 is a cysteine protease with substrate specificities similar to those of the human CPP32 protease.. Genes & Development. 10(9). 1073–1083. 276 indexed citations
20.
Zhou, Mingyue, Celso E. Gómez-Sánchez, Ding Xue, & Mark F. Foecking. (1994). The Hybrid Rat Cytochrome P450 Containing the First 5 Exons of the CYP11B1 and Last 4 Exons from the CYP11B2 Enzyme Retains 11β-Hydroxylase Activity, but the Alternative Hybrid Is Inactive. Biochemical and Biophysical Research Communications. 199(1). 130–135. 5 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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