San Ming Wang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- RNA Research and Splicing
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Gene expression and cancer classification
- RNA and protein synthesis mechanisms
- Molecular Biology Techniques and Applications
- Genomics and Phylogenetic Studies
Papers in
-
- Cancer Genomics and Diagnostics 13
- Genetics 32
- BRCA gene mutations in cancer 19
- Co-authors
- Jianjun ChenSanggyu LeeJanet D. RowleyGuolin ZhouSiddharth SinhaXijin GeYeong C. KimQingfa Wu
- Journals
- Proceedings of the National Academy of Sciences (9 papers)BMC Genomics (7 papers)Journal of Medical Genetics (5 papers)Genomics (5 papers)BMC Cancer (4 papers)
- Partner nations
- United StatesMacaoChina
In The Last Decade
San Ming Wang
97 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 126
- Cancer Research 541
- Molecular Biology 1.8k
- Genetics 591
- Biophysics 84
- Oncology 262
Countries citing papers authored by San Ming Wang
This map shows the geographic impact of San Ming 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 San Ming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites San Ming Wang more than expected).
Fields of papers citing papers by San Ming Wang
This network shows the impact of papers produced by San Ming 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 San Ming Wang. The network helps show where San Ming Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside San Ming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 9 | |
| 5 | 2021 | 7 | |
| 6 | 2019 | 12 | |
| 7 | 2017 | 19 | |
| 8 | 2015 | 5 | |
| 9 | 2015 | 16 | |
| 10 | 2013 | 39 | |
| 11 | 2012 | 25 | |
| 12 | 2010 | 3 | |
| 13 | 2010 | 3 | |
| 14 | 2008 | 209 | |
| 15 | 2006 | 9 | |
| 16 | 2005 | 7 | |
| 17 | 2005 | 83 | |
| 18 | 2005 | 205 | |
| 19 | 2003 | 6 | |
| 20 | 2001 | 6 |
About San Ming Wang
San Ming Wang is a scholar working on Cancer Research, Genetics, Molecular Biology, Pathology and Forensic Medicine and Transplantation, having authored 99 papers that have together received 2.6k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (19 papers), Genomics and Phylogenetic Studies (19 papers), DNA Repair Mechanisms (17 papers), Gene expression and cancer classification (14 papers), Genomics and Chromatin Dynamics (14 papers), Cancer Genomics and Diagnostics (13 papers), Genetic factors in colorectal cancer (13 papers) and Molecular Biology Techniques and Applications (12 papers). The work is most often cited by research in Cancer Research (541 citations), Molecular Biology (1.8k citations), Genetics (591 citations), Biophysics (84 citations) and Oncology (262 citations). San Ming Wang has collaborated with scholars based in United States, Macao and China. Frequent co-authors include Jianjun Chen, Sanggyu Lee, Janet D. Rowley, Guolin Zhou, Siddharth Sinha, Xijin Ge, Yeong C. Kim, Qingfa Wu, Benjamin Tam and Terry Clark. Their work appears in journals such as Proceedings of the National Academy of Sciences, BMC Genomics, Journal of Medical Genetics, Genomics and BMC Cancer.
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.