Xiaojun Wang
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Metabolism, Diabetes, and Cancer 6
- Peroxisome Proliferator-Activated Receptors 5
- Surgery 33
- Pancreatic function and diabetes 7
- Reconstructive Surgery and Microvascular Techniques 5
- Co-authors
- G. Minasov (5 shared papers)Brian K. Shoichet (5 shared papers)Meng Zhou (2 shared papers)Jie Sun (2 shared papers)Zhenzhen Wang (1 shared paper)Hongbo Shi (1 shared paper)Lei Yang (1 shared paper)Liang Cheng (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (3 papers)Biochemistry (3 papers)PLoS ONE (3 papers)Analytica Chimica Acta (2 papers)Archives of Biochemistry and Biophysics (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaojun Wang
121 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 159
- Molecular Medicine 363
- Cancer Research 436
- Molecular Biology 1.4k
- Endocrinology 74
- Genetics 355
Countries citing papers authored by Xiaojun Wang
This map shows the geographic impact of Xiaojun Wang'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 Xiaojun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Wang more than expected).
Fields of papers citing papers by Xiaojun Wang
This network shows the impact of papers produced by Xiaojun Wang. 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 Xiaojun Wang. The network helps show where Xiaojun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojun Wang, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 388 | |
| 2 | 2016 | 192 | |
| 3 | 2002 | 183 | |
| 4 | 2015 | 152 | |
| 5 | 2013 | 147 | |
| 6 | 2022 | 114 | |
| 7 | 2008 | 88 | |
| 8 | 2014 | 84 | |
| 9 | 2008 | 61 | |
| 10 | 2002 | 60 | |
| 11 | 2013 | 60 | |
| 12 | 2013 | 58 | |
| 13 | 2014 | 54 | |
| 14 | 2013 | 48 | |
| 15 | 2006 | 48 | |
| 16 | 2002 | 46 | |
| 17 | 2003 | 45 | |
| 18 | 2007 | 42 | |
| 19 | 2003 | 42 | |
| 20 | 2022 | 37 |
About Xiaojun Wang
Xiaojun Wang is a scholar working on Molecular Biology, Surgery, Oncology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 128 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Reconstructive Surgery and Microvascular Techniques (5 papers), Cancer-related molecular mechanisms research (5 papers), Adipose Tissue and Metabolism (5 papers), Antibiotic Resistance in Bacteria (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Neurological disorders and treatments (4 papers). The work is most often cited by research in Molecular Medicine (363 citations), Cancer Research (436 citations), Molecular Biology (1.4k citations), Endocrinology (74 citations) and Genetics (355 citations). Xiaojun Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include G. Minasov, Brian K. Shoichet, Meng Zhou, Jie Sun, Zhenzhen Wang, Hongbo Shi, Lei Yang, Liang Cheng, Hengqiang Zhao and Ryosuke Misawa. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Biochemistry, PLoS ONE, Analytica Chimica Acta and Archives of Biochemistry and Biophysics.
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.