Steven I. Wang
Impact in
- Molecular Biology top 1%
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Polyamine Metabolism and Applications
- Protein Tyrosine Phosphatases
- Ubiquitin and proteasome pathways
- Cancer Research top 1%
Papers in
- Co-authors
- Ramon ParsonsShikha BoseDanny LiawMichael WiglerJing LiHanina HibshooshLinda RodgersMichael Ittmann
- Journals
- Oncogene (2 papers)Genes Chromosomes and Cancer (2 papers)Nature Genetics (1 paper)Proceedings of the National Academy of Sciences (1 paper)Science (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Steven I. Wang
8 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 5.6k
- Cancer Research 1.2k
- Genetics 788
- Pathology and Forensic Medicine 1.1k
- Oncology 1.5k
Countries citing papers authored by Steven I. Wang
This map shows the geographic impact of Steven I. 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 I. 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 I. Wang more than expected).
Fields of papers citing papers by Steven I. Wang
This network shows the impact of papers produced by Steven I. 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 I. Wang. The network helps show where Steven I. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven I. 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 | 1999 | 6 | |
| 2 | 1999 | 34 | |
| 3 | 1998 | 146 | |
| 4 | 1998 | 96 | |
| 5 | Germline mutations of the PTEN gene in Cowden disease, an inherited breast and thyroid cancer syndrome Hit paper breakdown → | 1997 | 1533 |
| 6 | Mutations in PTEN are frequent in endometrial carcinoma but rare in other common gynecological malignancies. Hit paper breakdown → | 1997 | 581 |
| 7 | P-TEN, the tumor suppressor from human chromosome 10q23, is a dual-specificity phosphatase Hit paper breakdown → | 1997 | 657 |
| 8 | PTEN , a Putative Protein Tyrosine Phosphatase Gene Mutated in Human Brain, Breast, and Prostate Cancer Hit paper breakdown → | 1997 | 3896 |
About Steven I. Wang
Steven I. Wang is a scholar working on Immunology and Allergy, Reproductive Medicine, Oncology, Molecular Biology and Immunology, having authored 8 papers that have together received 6.9k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Vascular Tumors and Angiosarcomas (2 papers), Protein Tyrosine Phosphatases (2 papers), Glycosylation and Glycoproteins Research (1 paper), Mast cells and histamine (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Ubiquitin and proteasome pathways (1 paper) and Polyamine Metabolism and Applications (1 paper). The work is most often cited by research in Molecular Biology (5.6k citations), Cancer Research (1.2k citations), Genetics (788 citations), Pathology and Forensic Medicine (1.1k citations) and Oncology (1.5k citations). Steven I. Wang has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ramon Parsons, Shikha Bose, Danny Liaw, Michael Wigler, Jing Li, Hanina Hibshoosh, Linda Rodgers, Michael Ittmann, Sandra H. Bigner and W. Richard McCombie. Their work appears in journals such as Oncogene, Genes Chromosomes and Cancer, Nature Genetics, Proceedings of the National Academy of Sciences and Science.
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.