Wei Shi
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Bone health and treatments
- Cytokine Signaling Pathways and Interactions
Papers in
-
- DNA Repair Mechanisms 10
- RNA modifications and cancer 10
- Genomics and Chromatin Dynamics 8
- Epigenetics and DNA Methylation 8
- Bone Metabolism and Diseases 7
- Oncology 33
- Co-authors
- F. Patrick Ross (5 shared papers)Steven L. Teitelbaum (5 shared papers)Kanji Yoshida (2 shared papers)Chie Watanabe (2 shared papers)Hitoshi Kikutani (2 shared papers)Xiaosong Wang (2 shared papers)Atsushi Kumanogoh (2 shared papers)Kum Kum Khanna (11 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)International Journal of Radiation Oncology*Biology*Physics (3 papers)Endocrinology (3 papers)Artificial Organs (3 papers)Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Shi
166 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 152
- Cancer Research 645
- Oncology 953
- Molecular Biology 1.9k
- Immunology 524
- Cellular and Molecular Neuroscience 306
Countries citing papers authored by Wei Shi
This map shows the geographic impact of Wei Shi'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 Wei Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Shi more than expected).
Fields of papers citing papers by Wei Shi
This network shows the impact of papers produced by Wei Shi. 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 Wei Shi. The network helps show where Wei Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Shi, 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 175 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 212 | |
| 2 | 2002 | 171 | |
| 3 | 2004 | 161 | |
| 4 | 1987 | 124 | |
| 5 | 2012 | 116 | |
| 6 | 1996 | 115 | |
| 7 | 2001 | 107 | |
| 8 | 2011 | 104 | |
| 9 | 2001 | 101 | |
| 10 | 2020 | 83 | |
| 11 | 2014 | 80 | |
| 12 | 2007 | 72 | |
| 13 | 2010 | 72 | |
| 14 | 2007 | 71 | |
| 15 | 2023 | 66 | |
| 16 | 2013 | 61 | |
| 17 | 2015 | 60 | |
| 18 | 2009 | 58 | |
| 19 | 2008 | 56 | |
| 20 | 2017 | 55 |
About Wei Shi
Wei Shi is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 175 papers that have together received 3.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), RNA modifications and cancer (10 papers), Genomics and Chromatin Dynamics (8 papers), Epigenetics and DNA Methylation (8 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (7 papers), Bone Metabolism and Diseases (7 papers) and Conducting polymers and applications (6 papers). The work is most often cited by research in Cancer Research (645 citations), Oncology (953 citations), Molecular Biology (1.9k citations), Immunology (524 citations) and Cellular and Molecular Neuroscience (306 citations). Wei Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include F. Patrick Ross, Steven L. Teitelbaum, Kanji Yoshida, Chie Watanabe, Hitoshi Kikutani, Xiaosong Wang, Atsushi Kumanogoh, Kum Kum Khanna, Junran Zhang and Sunao Takeshita. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Radiation Oncology*Biology*Physics, Endocrinology, Artificial Organs and Cancer Research.
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.