Gerald Hajian
- Co-authors
- Samir K. GuptaPaul GlueLoretta L. NielsenMaya GurnaniThomas SpectorW. Robert BishopBin ShiBohdan Yaremko
- Topics
- Cancer-related Molecular Pathways (5 papers)Cancer Research and Treatments (4 papers)Statistical Methods in Clinical Trials (3 papers)
- Cited by
- HepatologyOncologyBiotechnology
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Gerald Hajian
16 papers receiving 583 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 237
- Oncology 200
- Hepatology 193
- Epidemiology 176
- Genetics 87
Countries citing papers authored by Gerald Hajian
This map shows the geographic impact of Gerald Hajian'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 Gerald Hajian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Hajian more than expected).
Fields of papers citing papers by Gerald Hajian
This network shows the impact of papers produced by Gerald Hajian. 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 Gerald Hajian. The network helps show where Gerald Hajian may publish in the future.
Co-authorship network of co-authors of Gerald Hajian
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Hajian. A scholar is included among the top collaborators of Gerald Hajian 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 Gerald Hajian. Gerald Hajian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 45 | |
| 3 | 36 | |
| 4 | 77 | |
| 5 | 87 | |
| 6 | 136 | |
| 7 | Derivation and initial characterization of a mouse mammary tumor cell line carrying the polyomavirus middle T antigen: utility in the development of novel cancer therapeutics. | 13 |
| 8 | Combination therapy with the farnesyl protein transferase inhibitor SCH66336 and SCH58500 (p53 adenovirus) in preclinical cancer models. | 26 |
| 9 | Adenovirus-mediated p53 gene therapy and paclitaxel have synergistic efficacy in models of human head and neck, ovarian, prostate, and breast cancer. | 103 |
| 10 | 16 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 46 | |
| 17 | 6 |
About Gerald Hajian
Gerald Hajian is a scholar working on Statistics and Probability, Biotechnology and Hepatology, having authored 17 papers that have together received 621 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Cancer Research and Treatments (4 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Hepatology (193 citations), Oncology (200 citations) and Biotechnology (52 citations). Gerald Hajian has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Samir K. Gupta, Paul Glue, Loretta L. Nielsen, Maya Gurnani, Thomas Spector, W. Robert Bishop, Bin Shi, Bohdan Yaremko, Ming Liu and Amrik Shah. Their work appears in journals such as Analytical Biochemistry, Statistics in Medicine and Pharmaceutical Research.
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.