Xiao‐Xin Sun
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Ubiquitin and proteasome pathways 18
- RNA modifications and cancer 11
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 3
- PI3K/AKT/mTOR signaling in cancer 3
- Oncology 23
- Cancer-related Molecular Pathways 17
- Peptidase Inhibition and Analysis 5
- Co-authors
- Mu‐Shui Dai (32 shared papers)Hua Lu (9 shared papers)Rosalie C. Sears (12 shared papers)Kishore B. Challagundla (5 shared papers)Shelya X. Zeng (4 shared papers)Larry L. David (3 shared papers)Yetao Jin (2 shared papers)Xia He (3 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Molecular and Cellular Biology (4 papers)Oncotarget (4 papers)The EMBO Journal (3 papers)Journal of Cellular Biochemistry (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Xiao‐Xin Sun
42 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 88
- Oncology 852
- Cancer Research 396
- Molecular Biology 1.9k
- Cell Biology 120
- Biotechnology 62
Countries citing papers authored by Xiao‐Xin Sun
This map shows the geographic impact of Xiao‐Xin Sun'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 Xiao‐Xin Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao‐Xin Sun more than expected).
Fields of papers citing papers by Xiao‐Xin Sun
This network shows the impact of papers produced by Xiao‐Xin Sun. 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 Xiao‐Xin Sun. The network helps show where Xiao‐Xin Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao‐Xin Sun, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 412 | |
| 2 | 2015 | 176 | |
| 3 | 2011 | 167 | |
| 4 | 2007 | 163 | |
| 5 | 2008 | 145 | |
| 6 | 2008 | 93 | |
| 7 | 2011 | 89 | |
| 8 | 2011 | 81 | |
| 9 | 2018 | 76 | |
| 10 | 2020 | 70 | |
| 11 | 2007 | 68 | |
| 12 | 2018 | 61 | |
| 13 | 2018 | 57 | |
| 14 | 2014 | 48 | |
| 15 | 2019 | 48 | |
| 16 | 2012 | 44 | |
| 17 | 2014 | 43 | |
| 18 | 2016 | 42 | |
| 19 | 2016 | 34 | |
| 20 | 2015 | 33 |
About Xiao‐Xin Sun
Xiao‐Xin Sun is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Genetics, having authored 42 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (18 papers), Cancer-related Molecular Pathways (17 papers), RNA modifications and cancer (11 papers), Cancer, Hypoxia, and Metabolism (6 papers), Peptidase Inhibition and Analysis (5 papers), RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Oncology (852 citations), Cancer Research (396 citations), Molecular Biology (1.9k citations), Cell Biology (120 citations) and Biotechnology (62 citations). Xiao‐Xin Sun has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Mu‐Shui Dai, Hua Lu, Rosalie C. Sears, Kishore B. Challagundla, Shelya X. Zeng, Larry L. David, Yetao Jin, Xia He, Yingxiao Chen and Yuhuang Li. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Oncotarget, The EMBO Journal and Journal of Cellular Biochemistry.
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.