Xiaojing Tang

5.6k total citations · 2 hit papers
73 papers, 4.1k citations indexed

About

Xiaojing Tang is a scholar working on Molecular Biology, Nephrology and Oncology. According to data from OpenAlex, Xiaojing Tang has authored 73 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 10 papers in Nephrology and 10 papers in Oncology. Recurrent topics in Xiaojing Tang's work include Ubiquitin and proteasome pathways (15 papers), Cancer-related Molecular Pathways (8 papers) and Microtubule and mitosis dynamics (7 papers). Xiaojing Tang is often cited by papers focused on Ubiquitin and proteasome pathways (15 papers), Cancer-related Molecular Pathways (8 papers) and Microtubule and mitosis dynamics (7 papers). Xiaojing Tang collaborates with scholars based in China, United States and Canada. Xiaojing Tang's co-authors include Mike Tyers, Frank Sicheri, Stephen Orlicky, Andrew Willems, Tony Pawson, Patrick Williamson, Robert Schlegel, Margaret S. Halleck, Michael D. Mendenhall and Piers Nash and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Xiaojing Tang

69 papers receiving 4.0k citations

Hit Papers

Multisite phosphorylation of a CDK inhibitor sets a thres... 2001 2026 2009 2017 2001 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojing Tang China 25 3.3k 852 699 306 291 73 4.1k
Natarajan Kannan United States 37 3.2k 1.0× 820 1.0× 455 0.7× 181 0.6× 263 0.9× 124 4.4k
Paul R. Graves United States 31 4.3k 1.3× 1.2k 1.4× 1.2k 1.8× 307 1.0× 174 0.6× 46 5.4k
Arminja N. Kettenbach United States 33 2.9k 0.9× 1.1k 1.2× 612 0.9× 367 1.2× 279 1.0× 100 4.2k
Yue Chen United States 29 4.2k 1.3× 395 0.5× 592 0.8× 354 1.2× 588 2.0× 118 5.6k
Joanne L. Parker United Kingdom 30 2.2k 0.7× 388 0.5× 674 1.0× 346 1.1× 124 0.4× 55 3.1k
Xin Liu China 39 4.5k 1.4× 465 0.5× 921 1.3× 388 1.3× 335 1.2× 210 6.0k
Shawn S.‐C. Li Canada 39 3.7k 1.1× 593 0.7× 641 0.9× 99 0.3× 201 0.7× 105 4.8k
Graham Dellaire Canada 43 4.9k 1.5× 658 0.8× 865 1.2× 409 1.3× 353 1.2× 123 6.2k
Yuan Chen United States 36 3.8k 1.2× 244 0.3× 1.1k 1.6× 257 0.8× 286 1.0× 121 4.7k
Brett Larsen Canada 26 3.4k 1.0× 1.4k 1.7× 532 0.8× 210 0.7× 196 0.7× 42 4.5k

Countries citing papers authored by Xiaojing Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojing Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojing Tang. A scholar is included among the top collaborators of Xiaojing Tang 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 Xiaojing Tang. Xiaojing Tang 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
1.
Tang, Xiaojing, et al.. (2025). Methylene blue method for analysis of perfluoroalkyl substances (PFAS): Effect of the molecular structure of PFAS compounds. Journal of Hazardous Materials. 492. 138187–138187. 2 indexed citations
3.
Kim, Eunjoo, et al.. (2024). Interference for CD3+ and CD19+ subset enrichment by immunomagnetic beads. Human Immunology. 85. 111031–111031.
4.
Mei, Shuqin, Cheng Xue, Zheng Zhang, et al.. (2024). COVID-19-Associated Immune Thrombocytopenic Purpura in a Hemodialysis Patient. Journal of Blood Medicine. Volume 15. 495–500.
5.
Li, Miaomiao, et al.. (2024). Assessing the impact of gait speed on gait stability using multi-scale entropy fused with plantar pressure signals. Frontiers in Bioengineering and Biotechnology. 12. 1328996–1328996. 2 indexed citations
6.
Tollis, Sylvain, Jasmin Coulombe‐Huntington, Xiaojing Tang, et al.. (2022). The microprotein Nrs1 rewires the G1/S transcriptional machinery during nitrogen limitation in budding yeast. PLoS Biology. 20(3). e3001548–e3001548. 11 indexed citations
7.
Wang, Ling, Xiang Gao, Xiaojing Tang, et al.. (2022). SENP1 protects cisplatin-induced AKI by attenuating apoptosis through regulation of HIF-1α. Experimental Cell Research. 419(1). 113281–113281. 8 indexed citations
8.
Bian, Rongrong, Xuezhen Li, Jing Chen, et al.. (2021). PKD2 gene variants in Chinese patients with autosomal dominant polycystic kidney disease. Clinical Genetics. 100(3). 340–347. 2 indexed citations
9.
St‐Cyr, Daniel J., Derek F. Ceccarelli, Stephen Orlicky, et al.. (2021). Identification and optimization of molecular glue compounds that inhibit a noncovalent E2 enzyme–ubiquitin complex. Science Advances. 7(44). eabi5797–eabi5797. 26 indexed citations
10.
Zhang, Hua, et al.. (2020). [A retrospective study on risk factors for prognosis of children with sepsis].. PubMed. 32(6). 707–710. 4 indexed citations
11.
Tang, Xiaojing, et al.. (2017). [Research on ginseng trade competitiveness between China and Korea].. PubMed. 42(9). 1803–1807. 2 indexed citations
12.
Tang, Xiaojing, Evgeny Kanshin, Adam D. Rudner, et al.. (2014). Regulation of the Histone Deacetylase Hst3 by Cyclin-dependent Kinases and the Ubiquitin Ligase SCFCdc4. Journal of Biological Chemistry. 289(19). 13186–13196. 12 indexed citations
13.
Tang, Xiaojing, Eric J. Bergstralh, Ramila A. Mehta, et al.. (2014). Nephrocalcinosis is a risk factor for kidney failure in primary hyperoxaluria. Kidney International. 87(3). 623–631. 52 indexed citations
14.
Breitkreutz, Ashton, Hyungwon Choi, Jeffrey R. Sharom, et al.. (2010). A Global Protein Kinase and Phosphatase Interaction Network in Yeast. Science. 328(5981). 1043–1046. 512 indexed citations breakdown →
15.
Liu, Qingquan, Brett Larsen, Markéta Řičicová, et al.. (2010). SCF Cdc4 Enables Mating Type Switching in Yeast by Cyclin-Dependent Kinase-Mediated Elimination of the Ash1 Transcriptional Repressor. Molecular and Cellular Biology. 31(3). 584–598. 13 indexed citations
16.
Orlicky, Stephen, Xiaojing Tang, Victor Neduva, et al.. (2010). An allosteric inhibitor of substrate recognition by the SCFCdc4 ubiquitin ligase. Nature Biotechnology. 28(7). 733–737. 124 indexed citations
17.
Mittag, Tanja, Stephen Orlicky, Wing‐Yiu Choy, et al.. (2008). Dynamic equilibrium engagement of a polyvalent ligand with a single-site receptor. Proceedings of the National Academy of Sciences. 105(46). 17772–17777. 284 indexed citations
18.
Tang, Xiaojing, Stephen Orlicky, Qingquan Liu, et al.. (2005). Genome‐Wide Surveys for Phosphorylation‐Dependent Substrates of SCF Ubiquitin Ligases. Methods in enzymology on CD-ROM/Methods in enzymology. 399. 433–458. 27 indexed citations
19.
Wu, G.X., Yaping Cai, & Xiaojing Tang. (1996). CONSERVATION OF MOIST POTENTIAL VORTICITY AND DOWN-SLIDING SLANTWISE VORTICITY DEVELOPMENT *. 10(4). 399–418. 3 indexed citations
20.
Tang, Xiaojing, et al.. (1989). Immunochemical Identification of Myosin and Actin in Onion (Allium cepa) Bulb. Journal of Integrative Plant Biology. 31(10). 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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