Jay Ji
Impact in
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- PARP inhibition in cancer therapy
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- DNA Repair Mechanisms
- Ion channel regulation and function
- Molecular Biology Techniques and Applications
Papers in
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- DNA Repair Mechanisms 5
- Cancer therapeutics and mechanisms 4
- Advanced Biosensing Techniques and Applications 2
- Oncology 5
- PARP inhibition in cancer therapy 4
- Co-authors
- Ralph E. Parchment (9 shared papers)James H. Doroshow (9 shared papers)Shivaani Kummar (5 shared papers)Joseph E. Tomaszewski (7 shared papers)Robert J. Kinders (6 shared papers)Alice P. Chen (2 shared papers)Yvonne Reid (1 shared paper)Marie C. Earley (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (3 papers)Journal of Clinical Oncology (3 papers)Cancer Research (3 papers)Epidemiology (1 paper)The Cancer Journal (1 paper)
- Partner nations
- United StatesMalaysia
In The Last Decade
Jay Ji
14 papers receiving 401 citations
Peers
Comparison fields: 5 of 69
- Oncology 174
- Molecular Biology 218
- Cancer Research 42
- Statistics and Probability 17
- Physiology 9
Countries citing papers authored by Jay Ji
This map shows the geographic impact of Jay Ji'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 Jay Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Ji more than expected).
Fields of papers citing papers by Jay Ji
This network shows the impact of papers produced by Jay Ji. 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 Jay Ji. The network helps show where Jay Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Ji, 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 | 2012 | 126 | |
| 2 | 2002 | 95 | |
| 3 | 2008 | 77 | |
| 4 | 2001 | 43 | |
| 5 | 2010 | 32 | |
| 6 | 2011 | 23 | |
| 7 | 2010 | 12 | |
| 8 | 2002 | 10 | |
| 9 | A validated assay for gamma-H2AX as a pharmacodynamic biomarker of response to DNA damage | 2007 | 2 |
| 10 | 2011 | 1 | |
| 11 | 2014 | 1 | |
| 12 | 2013 | 1 | |
| 13 | 2010 | 1 | |
| 14 | Development and validation of a quantitative assay for γH2AX in needle biopsies using topoisomerase I inhibitors | 2007 | 1 |
About Jay Ji
Jay Ji is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 425 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Cancer therapeutics and mechanisms (4 papers), PARP inhibition in cancer therapy (4 papers), Cancer Genomics and Diagnostics (3 papers), BRCA gene mutations in cancer (2 papers), Lung Cancer Treatments and Mutations (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Oncology (174 citations), Molecular Biology (218 citations), Cancer Research (42 citations), Statistics and Probability (17 citations) and Physiology (9 citations). Jay Ji has collaborated with scholars based in United States and Malaysia. Frequent co-authors include Ralph E. Parchment, James H. Doroshow, Shivaani Kummar, Joseph E. Tomaszewski, Robert J. Kinders, Alice P. Chen, Yvonne Reid, Marie C. Earley, Jeanne C. Beck and Deborah A. Nickerson. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Clinical Oncology, Cancer Research, Epidemiology and The Cancer Journal.
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.