Jay Ji
Impact in
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- PARP inhibition in cancer therapy
Papers in
- Oncology 2
- PARP inhibition in cancer therapy 2
-
- Cancer therapeutics and mechanisms 1
- Ion channel regulation and function 1
- DNA Repair Mechanisms 1
- Co-authors
- Shivaani Kummar (2 shared papers)Ralph E. Parchment (4 shared papers)James H. Doroshow (4 shared papers)Robert J. Kinders (4 shared papers)Joseph E. Tomaszewski (4 shared papers)Alice P. Chen (1 shared paper)Eric J. Sampson (1 shared paper)Jeanne C. Beck (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)Molecular Cancer Therapeutics (1 paper)Neuromuscular Disorders (1 paper)Epidemiology (1 paper)Cancer Research (1 paper)
- Partner nations
- United States
In The Last Decade
Jay Ji
8 papers receiving 344 citations
Peers
Comparison fields: 5 of 68
- Oncology 94
- Chemical Health and Safety 2
- Anesthesiology and Pain Medicine 12
- Genetics 48
- Molecular Biology 103
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 | 132 | |
| 2 | 2002 | 96 | |
| 3 | 2008 | 79 | |
| 4 | 2001 | 45 | |
| 5 | 2002 | 10 | |
| 6 | Development of a quantitative enzyme immunoassay for measurement of PAR as a pharmacodynamic biomarker of PARP activity | 2006 | 6 |
| 7 | A validated assay for gamma-H2AX as a pharmacodynamic biomarker of response to DNA damage | 2007 | 2 |
| 8 | 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 Oncology, Molecular Biology, Statistics and Probability, Health, Toxicology and Mutagenesis and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 371 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (2 papers), Cancer therapeutics and mechanisms (1 paper), Ion channel regulation and function (1 paper), Health, Environment, Cognitive Aging (1 paper), Statistical Methods in Clinical Trials (1 paper), Effects of Radiation Exposure (1 paper), Genetic Associations and Epidemiology (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Oncology (94 citations), Chemical Health and Safety (2 citations), Anesthesiology and Pain Medicine (12 citations), Genetics (48 citations) and Molecular Biology (103 citations). Jay Ji has collaborated with scholars based in United States. Frequent co-authors include Shivaani Kummar, Ralph E. Parchment, James H. Doroshow, Robert J. Kinders, Joseph E. Tomaszewski, Alice P. Chen, Eric J. Sampson, Jeanne C. Beck, Yvonne A. Reid and Richard B. Hayes. Their work appears in journals such as Clinical Cancer Research, Molecular Cancer Therapeutics, Neuromuscular Disorders, Epidemiology and Cancer 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.