John T. Piazza
Impact in
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- Genetics, Aging, and Longevity in Model Organisms
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- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Phosphodiesterase function and regulation
- Pluripotent Stem Cells Research
- Hedgehog Signaling Pathway Studies
- RNA Interference and Gene Delivery
Papers in
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- Phosphodiesterase function and regulation 2
- RNA and protein synthesis mechanisms 1
- Hedgehog Signaling Pathway Studies 1
- Melanoma and MAPK Pathways 1
- Cell death mechanisms and regulation 1
- Oncology 3
- HER2/EGFR in Cancer Research 2
- Co-authors
- Lawrence Lum (2 shared papers)Rubina Tuladhar (2 shared papers)Yunku Yeu (1 shared paper)David H. Mathews (1 shared paper)Zhen Tan (1 shared paper)James Kim (1 shared paper)Tae Hyun Hwang (1 shared paper)Jean R. Clemenceau (1 shared paper)
- Journals
- Nature Communications (1 paper)Journal of Clinical Oncology (1 paper)Pharmacological Reviews (1 paper)Nature Cell Biology (1 paper)Oncotarget (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
John T. Piazza
6 papers receiving 268 citations
Peers
Comparison fields: 5 of 63
- Aging 13
- Molecular Biology 213
- Business and International Management 5
- Oncology 40
- Genetics 43
Countries citing papers authored by John T. Piazza
This map shows the geographic impact of John T. Piazza'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 John T. Piazza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Piazza more than expected).
Fields of papers citing papers by John T. Piazza
This network shows the impact of papers produced by John T. Piazza. 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 John T. Piazza. The network helps show where John T. Piazza may publish in the future.
Co-authors
The 25 scholars most cited alongside John T. Piazza, 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 | 2019 | 150 | |
| 2 | 2022 | 47 | |
| 3 | 2017 | 40 | |
| 4 | 2017 | 34 | |
| 5 | 2020 | 2 | |
| 6 | 2014 | 2 |
About John T. Piazza
John T. Piazza is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Immunology, having authored 6 papers that have together received 275 indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), HER2/EGFR in Cancer Research (2 papers), RNA and protein synthesis mechanisms (1 paper), Synthesis and Catalytic Reactions (1 paper), Hedgehog Signaling Pathway Studies (1 paper), Melanoma and MAPK Pathways (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Aging (13 citations), Molecular Biology (213 citations), Business and International Management (5 citations), Oncology (40 citations) and Genetics (43 citations). John T. Piazza has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Lawrence Lum, Rubina Tuladhar, Yunku Yeu, David H. Mathews, Zhen Tan, James Kim, Tae Hyun Hwang, Jean R. Clemenceau, Xiaofeng Wu and Jianzhong Shen. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology, Pharmacological Reviews, Nature Cell Biology and Oncotarget.
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.