Jing Qian
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Genetics top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Jeffrey L. NoebelsRebecca A. BetenskyPeter SaggauBradley T. HymanAlberto Serrano‐PozoWilliam F. ColmersSarah E. MonsellDan Brigham
- Topics
- Neuroscience and Neuropharmacology Research (11 papers)Statistical Methods and Inference (11 papers)Statistical Methods and Bayesian Inference (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesChinaFrance
In The Last Decade
Jing Qian
86 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 825
- Physiology 598
- Genetics 499
- Pulmonary and Respiratory Medicine 496
Countries citing papers authored by Jing Qian
This map shows the geographic impact of Jing Qian'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 Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Qian more than expected).
Fields of papers citing papers by Jing Qian
This network shows the impact of papers produced by Jing Qian. 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 Qian. The network helps show where Jing Qian may publish in the future.
Co-authorship network of co-authors of Jing Qian
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Qian. A scholar is included among the top collaborators of Jing Qian 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 Qian. Jing Qian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 29 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 16 | |
| 11 | 0 | |
| 12 | 71 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | 14 | |
| 16 | A Clinically Relevant Androgen Receptor Mutation Confers Resistance to Second-Generation Antiandrogens Enzalutamide and ARN-509breakdown → | 455 |
| 17 | Research on Model Information Integration Technology for Smart Distribution Network | 0 |
| 18 | 5 | |
| 19 | 168 | |
| 20 | 46 |
About Jing Qian
Jing Qian is a scholar working on Statistics and Probability, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 92 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Statistical Methods and Inference (11 papers) and Statistical Methods and Bayesian Inference (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (825 citations), Psychiatry and Mental health (472 citations) and Physiology (598 citations). Jing Qian has collaborated with scholars based in United States, China and France. Frequent co-authors include Jeffrey L. Noebels, Rebecca A. Betensky, Peter Saggau, Bradley T. Hyman, Alberto Serrano‐Pozo, William F. Colmers, Sarah E. Monsell, Dan Brigham, Gang Shao and James D. Joseph. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.