Steven Wang
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
-
- Cutaneous Melanoma Detection and Management
Papers in
-
- Circular RNAs in diseases 2
- Connexins and lens biology 2
- Oncology 9
- CAR-T cell therapy research 3
- Cutaneous Melanoma Detection and Management 2
- Co-authors
- Liane E. Philpotts (1 shared paper)Regina J. Hooley (1 shared paper)Madhavi Raghu (1 shared paper)Melissa A. Durand (1 shared paper)Tao Huang (4 shared papers)Harold Rabinovitz (2 shared papers)Margaret Oliviero (2 shared papers)Alfred W. Kopf (2 shared papers)
- Journals
- PROTEOMICS (3 papers)Journal of the American Academy of Dermatology (2 papers)Journal of Clinical Oncology (2 papers)Blood (1 paper)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Steven Wang
37 papers receiving 990 citations
Peers
Comparison fields: 5 of 142
- Biophysics 68
- Oncology 211
- Dermatology 63
- Pharmacology 50
- Complementary and alternative medicine 47
Countries citing papers authored by Steven Wang
This map shows the geographic impact of Steven 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 Steven Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Wang more than expected).
Fields of papers citing papers by Steven Wang
This network shows the impact of papers produced by Steven 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 Steven Wang. The network helps show where Steven Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 167 | |
| 2 | 2011 | 118 | |
| 3 | 2016 | 86 | |
| 4 | 2019 | 79 | |
| 5 | 2010 | 61 | |
| 6 | 2003 | 47 | |
| 7 | 2012 | 45 | |
| 8 | 2022 | 44 | |
| 9 | 2007 | 39 | |
| 10 | 2006 | 34 | |
| 11 | 2013 | 33 | |
| 12 | 1996 | 33 | |
| 13 | 2013 | 27 | |
| 14 | 2006 | 24 | |
| 15 | 2007 | 21 | |
| 16 | 2023 | 20 | |
| 17 | 2020 | 15 | |
| 18 | 2016 | 12 | |
| 19 | 2016 | 12 | |
| 20 | 2021 | 12 |
About Steven Wang
Steven Wang is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Genetics and Immunology, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Virus-based gene therapy research (2 papers), Circular RNAs in diseases (2 papers), Connexins and lens biology (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Biophysics (68 citations), Oncology (211 citations), Dermatology (63 citations), Pharmacology (50 citations) and Complementary and alternative medicine (47 citations). Steven Wang has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Liane E. Philpotts, Regina J. Hooley, Madhavi Raghu, Melissa A. Durand, Tao Huang, Harold Rabinovitz, Margaret Oliviero, Alfred W. Kopf, Leming Shi and Zhining Wen. Their work appears in journals such as PROTEOMICS, Journal of the American Academy of Dermatology, Journal of Clinical Oncology, Blood and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.
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.