Chris Wang
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
-
- Cardiac Imaging and Diagnostics
Papers in
-
- RNA Research and Splicing 2
- Oncology 7
- CAR-T cell therapy research 3
- Colorectal Cancer Treatments and Studies 2
- Co-authors
- Ian Crocker (2 shared papers)Spencer B. King (2 shared papers)Ron Waksman (2 shared papers)Michael B. Gravanis (2 shared papers)Gustavo D. Cipolla (2 shared papers)Spencer J. Palmer (1 shared paper)Keith A. Robinson (1 shared paper)Dave Hansen (5 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Circulation (2 papers)Scientific Reports (2 papers)Clinical Neurology and Neurosurgery (2 papers)Operative Neurosurgery (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Chris Wang
32 papers receiving 752 citations
Peers
Comparison fields: 5 of 83
- Aging 43
- Radiology, Nuclear Medicine and Imaging 184
- Surgery 281
- Cardiology and Cardiovascular Medicine 94
- Public Health, Environmental and Occupational Health 113
Countries citing papers authored by Chris Wang
This map shows the geographic impact of Chris 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 Chris Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Wang more than expected).
Fields of papers citing papers by Chris Wang
This network shows the impact of papers produced by Chris 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 Chris Wang. The network helps show where Chris Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 237 | |
| 2 | 1995 | 157 | |
| 3 | 2011 | 106 | |
| 4 | 2016 | 54 | |
| 5 | 2021 | 28 | |
| 6 | 2015 | 26 | |
| 7 | 2012 | 24 | |
| 8 | 2020 | 15 | |
| 9 | 2023 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2016 | 8 | |
| 16 | 2017 | 8 | |
| 17 | 2005 | 7 | |
| 18 | 2013 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2021 | 4 |
About Chris Wang
Chris Wang is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Cell Biology, having authored 36 papers that have together received 776 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), CAR-T cell therapy research (3 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Biotin and Related Studies (2 papers), RNA Research and Splicing (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Biosimilars and Bioanalytical Methods (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Aging (43 citations), Radiology, Nuclear Medicine and Imaging (184 citations), Surgery (281 citations), Cardiology and Cardiovascular Medicine (94 citations) and Public Health, Environmental and Occupational Health (113 citations). Chris Wang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Ian Crocker, Spencer B. King, Ron Waksman, Michael B. Gravanis, Gustavo D. Cipolla, Spencer J. Palmer, Keith A. Robinson, Dave Hansen, Michael Tu and David T. Wong. Their work appears in journals such as Journal of Clinical Oncology, Circulation, Scientific Reports, Clinical Neurology and Neurosurgery and Operative Neurosurgery.
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.