Weihong Xu
- Molecular Biology top 5%
- Cell Biology top 2%
- Cancer Research top 5%
- Surgery top 10%
- Epidemiology top 10%
- Co-authors
- Lieselotte Vande WalleJohn-Paul UptonAndrew HagenDan HanBradley J. BackesAlana G. LernerFeroz R. PapaScott A. Oakes
- Topics
- Cancer-related molecular mechanisms research (5 papers)RNA and protein synthesis mechanisms (5 papers)RNA modifications and cancer (5 papers)
- Cited by
- Cancer ResearchCell BiologyAging
- Partner nations
- United StatesChinaCanada
In The Last Decade
Weihong Xu
39 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.6k
- Cell Biology 628
- Cancer Research 586
- Surgery 420
- Epidemiology 378
Countries citing papers authored by Weihong Xu
This map shows the geographic impact of Weihong Xu'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 Weihong Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weihong Xu more than expected).
Fields of papers citing papers by Weihong Xu
This network shows the impact of papers produced by Weihong Xu. 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 Weihong Xu. The network helps show where Weihong Xu may publish in the future.
Co-authorship network of co-authors of Weihong Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Weihong Xu. A scholar is included among the top collaborators of Weihong Xu 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 Weihong Xu. Weihong Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 33 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 16 | |
| 7 | 9 | |
| 8 | 68 | |
| 9 | A long non-coding RNA protects the heart from pathological hypertrophy | 1 |
| 10 | A long noncoding RNA protects the heart from pathological hypertrophybreakdown → | 572 |
| 11 | 22 | |
| 12 | 51 | |
| 13 | IRE1α Kinase Activation Modes Control Alternate Endoribonuclease Outputs to Determine Divergent Cell Fatesbreakdown → | 654 |
| 14 | 74 | |
| 15 | 18 | |
| 16 | 9 | |
| 17 | 94 | |
| 18 | 20 | |
| 19 | PEG-mediated Transformation of Lentinus edodes | 2 |
| 20 | A recombinant multi-epitope, multi-stage malaria vaccine candidate expressed in Escherichia coli. | 3 |
About Weihong Xu
Weihong Xu is a scholar working on Cancer Research, Molecular Biology and Pharmacology, having authored 39 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (586 citations), Cell Biology (628 citations) and Aging (49 citations). Weihong Xu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Lieselotte Vande Walle, John-Paul Upton, Andrew Hagen, Dan Han, Bradley J. Backes, Alana G. Lerner, Feroz R. Papa, Scott A. Oakes, Jennifer G. Aparicio and Oscar M. Aparicio. Their work appears in journals such as Nature, Science and Cell.
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.