Ted Goldstein
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Lung Cancer Research Studies
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Ovarian cancer diagnosis and treatment 1
- Co-authors
- Rehan Akbani (1 shared paper)Neil O. Carragher (1 shared paper)Satoshi Nishizuka (1 shared paper)Emanuel F. Petricoin (1 shared paper)Jingchun Zhu (1 shared paper)Gordon Brent Mills (1 shared paper)Bryan Serrels (1 shared paper)Lance A. Liotta (1 shared paper)
- Journals
- Nature (1 paper)Molecular & Cellular Proteomics (1 paper)Carolina Digital Repository (University of North Carolina at Chapel Hill) (1 paper)
- Partner nations
- United StatesPakistanGermany
In The Last Decade
Ted Goldstein
4 papers receiving 3.7k citations
Ted Goldstein's Hit Papers
Peers
Comparison fields: 5 of 101
- Cancer Research 1.2k
- Oncology 1.0k
- Pulmonary and Respiratory Medicine 1.1k
- Molecular Biology 2.0k
- Obstetrics and Gynecology 176
Countries citing papers authored by Ted Goldstein
This map shows the geographic impact of Ted Goldstein'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 Ted Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Goldstein more than expected).
Fields of papers citing papers by Ted Goldstein
This network shows the impact of papers produced by Ted Goldstein. 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 Ted Goldstein. The network helps show where Ted Goldstein may publish in the future.
Co-authors
The 13 scholars most cited alongside Ted Goldstein, 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 | Comprehensive genomic characterization of squamous cell lung cancers Hit paper breakdown → | 2012 | 3290 |
| 2 | 2013 | 336 | |
| 3 | 2014 | 141 | |
| 4 | 1991 | 2 |
About Ted Goldstein
Ted Goldstein is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Cancer Research, Information Systems and Computer Networks and Communications, having authored 4 papers that have together received 3.8k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (1 paper), Software Engineering Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Ovarian cancer diagnosis and treatment (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Plant Disease Resistance and Genetics (1 paper), Lung Cancer Treatments and Mutations (1 paper) and Chromatin Remodeling and Cancer (1 paper). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.0k citations), Pulmonary and Respiratory Medicine (1.1k citations), Molecular Biology (2.0k citations) and Obstetrics and Gynecology (176 citations). Ted Goldstein has collaborated with scholars based in United States, Pakistan and Germany. Frequent co-authors include Rehan Akbani, Neil O. Carragher, Satoshi Nishizuka, Emanuel F. Petricoin, Jingchun Zhu, Gordon Brent Mills, Bryan Serrels, Lance A. Liotta, Ulrike Korf and Michael Pawlak. Their work appears in journals such as Nature, Molecular & Cellular Proteomics and Carolina Digital Repository (University of North Carolina at Chapel Hill).
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.