Xiang Qian
- Molecular Biology top 5%
- Oncology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 10%
- Cancer Research top 5%
- Co-authors
- Ricardo V. LloydLong JinElzbieta KuligBernd W. ScheithauerLori A. EricksonJohn C. ChevilleRandall T. HaydenGlenn D. Roberts
- Topics
- Cancer-related Molecular Pathways (9 papers)Growth Hormone and Insulin-like Growth Factors (7 papers)Molecular Biology Techniques and Applications (7 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Clinical Endocrinology & MetabolismCancer Research
- Partner nations
- United StatesCanadaChina
In The Last Decade
Xiang Qian
52 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.3k
- Oncology 752
- Endocrinology, Diabetes and Metabolism 749
- Epidemiology 436
- Cancer Research 313
Countries citing papers authored by Xiang Qian
This map shows the geographic impact of Xiang 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 Xiang Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Qian more than expected).
Fields of papers citing papers by Xiang Qian
This network shows the impact of papers produced by Xiang 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 Xiang Qian. The network helps show where Xiang Qian may publish in the future.
Co-authorship network of co-authors of Xiang Qian
This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Qian. A scholar is included among the top collaborators of Xiang 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 Xiang Qian. Xiang 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 | 5 | |
| 3 | 32 | |
| 4 | 66 | |
| 5 | 87 | |
| 6 | 47 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 19 | |
| 10 | 55 | |
| 11 | 68 | |
| 12 | 74 | |
| 13 | 17 | |
| 14 | p27kip1: A Multifunctional Cyclin-Dependent Kinase Inhibitor with Prognostic Significance in Human Cancersbreakdown → | 517 |
| 15 | 50 | |
| 16 | 23 | |
| 17 | 32 | |
| 18 | 47 | |
| 19 | 6 | |
| 20 | 94 |
About Xiang Qian
Xiang Qian is a scholar working on Microbiology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 55 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Molecular Biology Techniques and Applications (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (749 citations), Oncology (752 citations) and Cancer Research (313 citations). Xiang Qian has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Ricardo V. Lloyd, Long Jin, Elzbieta Kulig, Bernd W. Scheithauer, Lori A. Erickson, John C. Cheville, Randall T. Hayden, Glenn D. Roberts, Jin Li and Nobuki Nakamura. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.
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.