Xiaojing Tang
Impact in
- Cell Biology top 1%
- Microtubule and mitosis dynamics
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways
- Fungal and yeast genetics research
- Protein Structure and Dynamics
- Protein Degradation and Inhibitors
- Genomics and Chromatin Dynamics
- Bioinformatics and Genomic Networks
Papers in
-
- Ubiquitin and proteasome pathways 15
- Genomics and Chromatin Dynamics 5
- Nephrology 10
- Parathyroid Disorders and Treatments 5
- Co-authors
- Mike Tyers (18 shared papers)Frank Sicheri (14 shared papers)Stephen Orlicky (10 shared papers)Andrew Willems (3 shared papers)Tony Pawson (3 shared papers)Margaret S. Halleck (1 shared paper)Patrick Williamson (1 shared paper)Robert Schlegel (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Cell (3 papers)Analytical Letters (3 papers)Kidney & Blood Pressure Research (2 papers)Science (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaojing Tang
69 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Cell Biology 852
- Molecular Biology 3.3k
- Aging 52
- Oncology 699
- Nephrology 90
Countries citing papers authored by Xiaojing Tang
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
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-authors
The 25 scholars most cited alongside Xiaojing Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multisite phosphorylation of a CDK inhibitor sets a threshold for the onset of DNA replication Hit paper breakdown → | 2001 | 629 |
| 2 | A Global Protein Kinase and Phosphatase Interaction Network in Yeast Hit paper breakdown → | 2010 | 512 |
| 3 | 2003 | 422 | |
| 4 | 1996 | 405 | |
| 5 | 2004 | 339 | |
| 6 | 2008 | 284 | |
| 7 | 2007 | 170 | |
| 8 | 2010 | 124 | |
| 9 | 1999 | 118 | |
| 10 | 1989 | 92 | |
| 11 | 2013 | 75 | |
| 12 | 2019 | 68 | |
| 13 | 2014 | 60 | |
| 14 | 2016 | 58 | |
| 15 | 2015 | 55 | |
| 16 | 2012 | 55 | |
| 17 | 2014 | 52 | |
| 18 | 2014 | 45 | |
| 19 | 2014 | 42 | |
| 20 | 2014 | 35 |
About Xiaojing Tang
Xiaojing Tang is a scholar working on Molecular Biology, Nephrology, Oncology, Cell Biology and Biomedical Engineering, having authored 73 papers that have together received 4.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (15 papers), Cancer-related Molecular Pathways (8 papers), Microtubule and mitosis dynamics (7 papers), Kidney Stones and Urolithiasis Treatments (6 papers), Electrochemical sensors and biosensors (5 papers), Genomics and Chromatin Dynamics (5 papers), Parathyroid Disorders and Treatments (5 papers) and Non-Invasive Vital Sign Monitoring (4 papers). The work is most often cited by research in Cell Biology (852 citations), Molecular Biology (3.3k citations), Aging (52 citations), Oncology (699 citations) and Nephrology (90 citations). Xiaojing Tang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Mike Tyers, Frank Sicheri, Stephen Orlicky, Andrew Willems, Tony Pawson, Margaret S. Halleck, Patrick Williamson, Robert Schlegel, Qinghua Chen and Piers Nash. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell, Analytical Letters, Kidney & Blood Pressure Research and Science.
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.