Xinping Yang
Impact in
- Developmental Biology top 5%
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Cancer-related molecular mechanisms research
Papers in
-
- Cell death mechanisms and regulation 6
- RNA modifications and cancer 4
- Bioinformatics and Genomic Networks 4
- Single-cell and spatial transcriptomics 3
-
- NF-κB Signaling Pathways 11
- Cancer-related molecular mechanisms research 5
- Co-authors
- Carter Van Waes (14 shared papers)Zhong Chen (12 shared papers)David E. Hill (6 shared papers)Marc Vidal (5 shared papers)Kourosh Salehi‐Ashtiani (7 shared papers)Bin Yan (3 shared papers)Lin He (2 shared papers)Guoying Feng (2 shared papers)
- Journals
- Cancer Research (4 papers)Nature Methods (4 papers)Clinical Cancer Research (3 papers)iScience (2 papers)Theranostics (2 papers)
- Partner nations
- ChinaUnited StatesRwanda
In The Last Decade
Xinping Yang
73 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 143
- Developmental Biology 65
- Cancer Research 300
- Obstetrics and Gynecology 111
- Molecular Biology 1.1k
- Oncology 285
Countries citing papers authored by Xinping Yang
This map shows the geographic impact of Xinping Yang'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 Xinping Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinping Yang more than expected).
Fields of papers citing papers by Xinping Yang
This network shows the impact of papers produced by Xinping Yang. 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 Xinping Yang. The network helps show where Xinping Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinping Yang, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 191 | |
| 2 | 2001 | 180 | |
| 3 | 2015 | 105 | |
| 4 | 2008 | 89 | |
| 5 | 2018 | 89 | |
| 6 | 2013 | 71 | |
| 7 | 2010 | 70 | |
| 8 | 2009 | 70 | |
| 9 | 2021 | 66 | |
| 10 | 2011 | 64 | |
| 11 | 2018 | 64 | |
| 12 | 2021 | 62 | |
| 13 | 2016 | 61 | |
| 14 | 2007 | 47 | |
| 15 | 2016 | 44 | |
| 16 | 2011 | 44 | |
| 17 | 2005 | 41 | |
| 18 | 2011 | 39 | |
| 19 | 2020 | 34 | |
| 20 | 2023 | 33 |
About Xinping Yang
Xinping Yang is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Immunology, having authored 75 papers that have together received 2.0k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (11 papers), Pregnancy and preeclampsia studies (6 papers), Cell death mechanisms and regulation (6 papers), Cancer-related molecular mechanisms research (5 papers), Cancer-related Molecular Pathways (4 papers), RNA modifications and cancer (4 papers), Bioinformatics and Genomic Networks (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Developmental Biology (65 citations), Cancer Research (300 citations), Obstetrics and Gynecology (111 citations), Molecular Biology (1.1k citations) and Oncology (285 citations). Xinping Yang has collaborated with scholars based in China, United States and Rwanda. Frequent co-authors include Carter Van Waes, Zhong Chen, David E. Hill, Marc Vidal, Kourosh Salehi‐Ashtiani, Bin Yan, Lin He, Guoying Feng, Jay Friedman and Clint Allen. Their work appears in journals such as Cancer Research, Nature Methods, Clinical Cancer Research, iScience and Theranostics.
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.