Christopher T. Gubish
- Oncology top 5%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Genetics top 10%
- Hepatology top 5%
- Co-authors
- Jill M. SiegfriedLaura P. StabileJennifer R. GrandisJames D. LuketichSydney FinkelsteinNeil A. ChristieWeiping ZhangSharon P. Shriver
- Topics
- Liver physiology and pathology (7 papers)PI3K/AKT/mTOR signaling in cancer (6 papers)Lung Cancer Treatments and Mutations (5 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Christopher T. Gubish
16 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 92
- Oncology 858
- Molecular Biology 723
- Pulmonary and Respiratory Medicine 683
- Genetics 324
- Hepatology 225
Countries citing papers authored by Christopher T. Gubish
This map shows the geographic impact of Christopher T. Gubish'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 Christopher T. Gubish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher T. Gubish more than expected).
Fields of papers citing papers by Christopher T. Gubish
This network shows the impact of papers produced by Christopher T. Gubish. 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 Christopher T. Gubish. The network helps show where Christopher T. Gubish may publish in the future.
Co-authorship network of co-authors of Christopher T. Gubish
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher T. Gubish. A scholar is included among the top collaborators of Christopher T. Gubish based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher T. Gubish. Christopher T. Gubish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 81 | |
| 4 | 47 | |
| 5 | 97 | |
| 6 | 94 | |
| 7 | 175 | |
| 8 | 35 | |
| 9 | 68 | |
| 10 | 263 | |
| 11 | The HER2 tyrosine kinase is a direct target of erlotinib (Tarceva™), a potent inhibitor of EGFR/HER1 kinase. | 2 |
| 12 | Human non-small cell lung tumors and cells derived from normal lung express both estrogen receptor alpha and beta and show biological responses to estrogen. | 394 |
| 13 | 153 | |
| 14 | 86 | |
| 15 | 78 | |
| 16 | 13 | |
| 17 | 6 |
About Christopher T. Gubish
Christopher T. Gubish is a scholar working on Hepatology, Oncology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver physiology and pathology (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Oncology (858 citations), Hepatology (225 citations) and Pulmonary and Respiratory Medicine (683 citations). Christopher T. Gubish has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jill M. Siegfried, Laura P. Stabile, Jennifer R. Grandis, James D. Luketich, Sydney Finkelstein, Neil A. Christie, Weiping Zhang, Sharon P. Shriver, Mary E. Rothstein and Sufi M. Thomas. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Oncogene.
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.